WO2023095387A1 - Determination device and determination method - Google Patents

Abstract

This determination device (101) is used in a solar power generation system (401) comprising a plurality of power generation units (78) including a solar cell panel (79), the determination device (101) comprising: a communication processing unit (81) that acquires generated power of a target power generation unit (78), which is the power generation unit (78) that is the target of the determination; a calculation unit (93) that calculates a performance index (In) indicating the power generation performance of the target power generation unit (78) on the basis of the generated power of the target power generation unit (78) acquired by the communication processing unit (81), and the generated power of the target power generation unit (78) in a reference year; and a detection unit (94) that performs a detection process to detect an abnormality of the target power generation unit (78) on the basis of the performance index (In) calculated by the calculation unit (93).

Description

Judgment device and judgment method

The present disclosure relates to a determination device and a determination method.
This application claims priority based on Japanese Patent Application No. 2021-193111 filed on November 29, 2021, and the entire disclosure thereof is incorporated herein.

Japanese Patent Laying-Open No. 2018-26909 (Patent Document 1) discloses a power generation state determination device as follows. That is, the power generation state determination device is a power generation state determination device used in a photovoltaic power generation system including a plurality of power generation units including a plurality of solar cell panels, and is a power generation state determination device that indicates measurement results of outputs of the plurality of power generation units. a measurement result of a power generation unit whose power generation state is to be determined among the plurality of power generation units; and at least one measurement result of a power generation unit other than the target power generation unit. and a determination unit that determines the power generation state of the target power generation unit based on the ratio calculated by the calculation unit.

JP 2018-26909 A

A determination device according to the present disclosure is a determination device used in a photovoltaic power generation system including a plurality of power generation units including solar cell panels, and is communication processing for acquiring power generated by a target power generation unit, which is the power generation unit to be determined. Calculation for calculating a performance index indicating the power generation performance of the target power generation unit based on the power generated by the target power generation unit acquired by the communication processing unit and the power generated by the target power generation unit in a reference year and a detection unit that detects an abnormality in the target power generation unit based on the performance index calculated by the calculation unit.

A determination method of the present disclosure is a determination method in a determination device used in a photovoltaic power generation system including a plurality of power generation units including solar cell panels, and acquires power generated by a target power generation unit that is the power generation unit to be determined. calculating a performance index indicating power generation performance of the target power generation unit based on the obtained generated power of the target power generation unit and the generated power of the target power generation unit in a reference year; and detecting an abnormality in the target power generation unit based on the performance index.

One aspect of the present disclosure can be implemented not only as a determination device including such a characteristic processing unit, but also as a program for causing a computer to execute such characteristic processing. Further, one aspect of the present disclosure can be implemented as a semiconductor integrated circuit that implements part or all of the determination device, or can be implemented as an abnormality determination system including the determination device.

FIG. 1 is a diagram showing the configuration of a photovoltaic power generation system according to an embodiment of the present disclosure. FIG. 2 is a diagram showing the configuration of a PCS unit according to the embodiment of the present disclosure. FIG. 3 is a diagram showing the configuration of a current collecting unit according to an embodiment of the present disclosure. FIG. 4 is a diagram showing the configuration of a solar cell unit according to an embodiment of the present disclosure. FIG. 5 is a diagram showing the configuration of a monitoring system according to an embodiment of the present disclosure. FIG. 6 is a diagram showing the configuration of a monitoring device in the monitoring system according to the embodiment of the present disclosure. FIG. 7 is a diagram showing the configuration of a determination device in the monitoring system according to the embodiment of the present disclosure. FIG. 8 is a diagram illustrating an example of monitoring information held by a determination device in the monitoring system according to the embodiment of the present disclosure; FIG. 9 is a diagram for explaining the operation of the first acquisition unit in the determination device according to the embodiment of the present disclosure; FIG. 10 is a scatter diagram plotting a plurality of sets acquired by the first acquisition unit in the determination device according to the embodiment of the present disclosure. FIG. 11 is a diagram showing representative values stored in a storage unit in the determination device according to the embodiment of the present disclosure; FIG. 12 is a graph showing an example of time-series changes in the performance index acquired by the calculation unit in the determination device according to the embodiment of the present disclosure. FIG. 13 is a graph showing an example of time-series changes in the performance index acquired by the calculation unit in the determination device according to the embodiment of the present disclosure. FIG. 14 is a graph showing an example of time-series changes in the performance index acquired by the calculation unit in the determination device according to the embodiment of the present disclosure. FIG. 15 is a diagram for explaining changes in the pseudo maximum value acquired by the first acquisition unit in the determination device according to the embodiment of the present disclosure; FIG. 16 is a diagram illustrating an example of determination results by the detection unit in the determination device according to the embodiment of the present disclosure; FIG. 17 is a diagram illustrating another example of a determination result by the detection unit in the determination device according to the embodiment of the present disclosure; 18 is a diagram illustrating an example of a determination result after verification processing by the detection unit in the determination device according to the embodiment of the present disclosure; FIG. FIG. 19 is a flowchart that defines an operation procedure when the determination device according to the embodiment of the present disclosure performs abnormality determination of the power generation unit.

In recent years, technology has been developed to monitor solar power generation systems and identify abnormalities.

[Problems to be Solved by the Present Disclosure]
In the technology described in Patent Document 1, if the power generation unit that outputs the measurement result that serves as the reference value is replaced for maintenance or the like, or if a defect is repaired, the measurement result of the power generation unit to be determined is changed. There is a possibility that the ratio with respect to the reference value will change, making it impossible to accurately determine the power generation state of the power generation unit.

The present disclosure has been made to solve the above-described problems, and its purpose is to provide a determination device and a determination method capable of improving the abnormality determination accuracy of a photovoltaic power generation system.

According to the present disclosure, it is possible to improve the abnormality determination accuracy of the photovoltaic power generation system.

[Description of Embodiments of the Present Disclosure]
First, the contents of the embodiments of the present disclosure will be listed and described.
(1) A determination device according to an embodiment of the present disclosure is a determination device used in a photovoltaic power generation system including a plurality of power generation units including solar cell panels, and is a target power generation unit that is the power generation unit to be determined. power generation performance of the target power generation unit based on the power generation of the target power generation unit acquired by the communication processing unit and the power generation of the target power generation unit in a reference year and a detection unit that detects an abnormality in the target power generation unit based on the performance index calculated by the calculation unit.

In this way, based on the power generated by the target power generation unit (hereinafter also referred to as “target power”) and the target power in the base year, the performance index of the target power generation unit is calculated, and based on the performance index With a configuration that detects an abnormality in the power generation unit, more accurate determination results can be obtained without being affected by replacement or repair of other power generation units in determining whether or not an abnormality has occurred in the relevant power generation unit. be able to. Therefore, it is possible to improve the abnormality determination accuracy of the photovoltaic power generation system.

(2) In the above (1), the communication processing unit receives power generated by the target power generation unit every predetermined time and power generated by each of the plurality of power generation units other than the target power generation unit every predetermined time. The determination device further acquires the statistical value of the generated power of each power generation unit acquired by the communication processing unit, and the acquired statistical value and the power generation used to acquire the statistical value A first acquisition unit that acquires a set of power generated by the target power generation unit and the power generated by the target power generation unit out of power, and that acquires the set every predetermined time; a second acquiring unit that performs segmentation and acquires a representative value of the generated power of the target power generating unit for each segment based on the plurality of sets acquired by the first acquiring unit; The unit calculates, for each interval, the ratio of the representative value acquired by the second acquisition unit, the representative value in the reference year, and the representative value in the year to be determined, and is acquired as the performance index, and the detection unit detects an abnormality in the target power generation unit based on the time-series change in the performance index.

In this way, by using the statistical value of the generated power of each power generation unit to obtain the representative value of the target power, the representative value considering the relationship with the generated power of other power generation units, that is, changes due to shadows. Since the representative value can be acquired in consideration of the power generation environment, for example, the power generation environment of the generated power to be acquired as the representative value can be uniformed.

In addition, by calculating the ratio between the representative value of the target power in the reference year and the representative value of the target power in the judgment target year for each section, and obtaining the statistical value of the ratio for each section as a performance index, for example, Since it is possible to compare generated electric power under similar conditions such as the effects of solar radiation conditions, weather, shadows, etc., it is possible to obtain more accurate determination results in abnormality determination.

(3) In (2) above, the first acquisition unit may acquire a statistical value of the power generated by each of the power generation units connected to the same power converter for each predetermined time.

With such a configuration, it is possible to make a determination considering the influence of the operation status of the power conversion device to which the target power generation unit is connected when determining whether the target power generation unit is abnormal. It is possible to appropriately reduce the amount used.

(4) In (2) or (3) above, the statistical value for each predetermined time period may be the maximum value or the median value of the power generated by each of the power generation units during the predetermined time period.

With such a configuration, for example, the first acquisition unit acquires the maximum value of the power generated by each power generation unit in a predetermined time as a statistical value, and the second acquisition unit obtains the target power for each section. When the maximum value is acquired as the representative value, the maximum generated power that the target power generation unit can output in each section, that is, the generated power in a power generation environment where the influence of shadows and the like is low can be acquired as the representative value.

Also, for example, the first acquisition unit acquires the median value of the power generated by each power generation unit for a predetermined time as a statistical value, and the second acquisition unit represents the median value of the target power for each section. When acquiring as a value, the median value of the generated power that the target power generation unit can output in each section, that is, the generated power in a more stable power generation environment can be acquired as the representative value.

In this way, it is possible to easily align the power generation environment of the generated power to be acquired as a representative value, and to compare the representative values of the generated power under similar power generation environments, so that the abnormality determination can be performed more accurately. be able to.

(5) In any one of (2) to (4) above, the second acquiring unit further calculates the ratio for each section calculated by the calculating unit as a plurality of power generation units including the target power generation unit. The representative value of the section corresponding to the plurality of ratios may be corrected based on the plurality of ratios obtained for the portion.

Here, when the first acquisition unit acquires the maximum value of the generated power of each power generation unit as a statistical value, the solar radiation condition at a certain timing in the reference year and the solar radiation condition at a certain timing in the year to be determined are different. Even if they are the same, the statistic value acquired by the first acquisition unit, that is, the maximum generated power obtained from the power generation unit may change.

For example, if one or more of the multiple power generation units are replaced between the base year and the year to be judged, the maximum power generated by the power generation unit will change even if the solar radiation conditions are the same. there's a possibility that. In this way, if there is a change in the statistical value even though the solar radiation conditions are the same, there is a possibility that an accurate determination result cannot be obtained in the abnormality determination of the target power generation unit.

On the other hand, with the above configuration, it is possible to correct the influence of changes in the statistical values on the representative values, so that the abnormality determination can be performed more accurately.

(6) In any one of (2) to (5) above, the second acquisition unit divides a day into a plurality of time zones, and for each of the plurality of time zones, the representative value for each section may be obtained, and the calculation unit calculates the ratio for each of the sections for each of the plurality of time periods, and obtains one of the plurality of calculated ratios as the performance index The detection unit may perform the detection process based on any one of the performance indicators for each of the plurality of time periods acquired by the calculation unit.

Here, due to factors such as the direction in which the power generation unit faces, the power generated by the power generation unit may change depending on the time of day. On the other hand, as described above, the performance index is acquired for each time period, and one of the acquired indexes for each time period is used for abnormality detection, so that abnormality determination is performed more accurately. be able to.

(7) In any one of the above (2) to (6), the second acquisition unit may divide a part of the possible range of the generated power of the power generation unit into a plurality of sections in the section division. good.

With such a configuration, for example, it is possible to appropriately reduce the number of sections and reduce the processing load due to calculations such as calculation of ratios for each section.

(8) In any one of (2) to (7) above, the detection unit may perform the detection process at a plurality of detection timings for each predetermined period, and the detection unit may perform the detection process at a first detection timing. when it is determined that the target power generation unit does not have an abnormality in the detection process of , and the target power generation unit is abnormal in the detection processes at a plurality of consecutive detection timings immediately before the first detection timing If it is determined that a you can go

With such a configuration, it is possible to suppress erroneous determination at the first detection timing due to a decrease in the representative value in the base year when an abnormality occurs in the target power generation unit in the base year.

(9) In any one of (2) to (8) above, the detection unit may detect an abnormality in the target power generation unit at predetermined intervals, and the determination device further causes the detection unit to An output unit that outputs a predetermined output when an abnormality in the target power generation unit is continuously detected a predetermined number of times or more may be provided.

With such a configuration, for example, due to temporary changes in the power generation environment, etc., it is possible to prevent an alarm, etc., from being issued to the effect that an abnormality has occurred in the target power generation unit, and improve the reliability of the output of the alarm, etc. can be enhanced.

(10) In (8) or (9) above, the predetermined period may be one month.

With such a configuration, for example, by comparing the representative values of the generated power of the target power generation unit in the same month with the same solar radiation conditions, and determining the abnormality of the target power generation unit on a monthly basis, A more accurate determination result can be obtained, and the processing load for abnormality determination can be suppressed appropriately.

(11) A determination method according to an embodiment of the present disclosure is a determination method in a determination device used in a photovoltaic power generation system including a plurality of power generation units including solar cell panels, and is the power generation unit to be determined. a step of acquiring the generated power of the target power generation unit; and calculating a performance index indicating power generation performance of the target power generation unit based on the acquired generated power of the target power generation unit and the generated power of the target power generation unit in a base year. and detecting an abnormality in the target power generating unit based on the calculated performance index.

In this way, based on the target power and the target power in the base year, the performance index of the target power generation unit is calculated, and based on the performance index, the abnormality of the target power generation unit is detected. It is possible to obtain a more accurate determination result without being affected by the replacement or repair of other power generation units in determining whether or not there is an abnormality. Therefore, it is possible to improve the abnormality determination accuracy of the photovoltaic power generation system.

Embodiments of the present disclosure will be described below with reference to the drawings. The same or corresponding parts in the drawings are denoted by the same reference numerals, and the description thereof will not be repeated. Moreover, at least part of the embodiments described below may be combined arbitrarily.

<Configuration and basic operation>
[Configuration of photovoltaic power generation system]
FIG. 1 is a diagram showing the configuration of a photovoltaic power generation system according to an embodiment of the present disclosure.

Referring to FIG. 1, a photovoltaic power generation system 401 includes four PCS (Power Conditioning Subsystem) units 80 and cubicles 6 . Cubicle 6 includes copper bars 73 .

Although FIG. 1 representatively shows four PCS units 80, more or fewer PCS units 80 may be provided.

FIG. 2 is a diagram showing the configuration of the PCS unit according to the embodiment of the present disclosure.

With reference to FIG. 2, the PCS unit 80 includes four power collection units 60 and a PCS (power converter) 8 . PCS 8 includes copper bar 7 and power converter 9 .

Although FIG. 2 representatively shows four collector units 60, more or fewer collector units 60 may be provided.

FIG. 3 is a diagram showing the configuration of the current collecting unit according to the embodiment of the present disclosure.

Referring to FIG. 3 , current collection unit 60 includes four solar cell units 74 and current collection box 71 . A current collection box 71 has a copper bar 72 .

Although FIG. 3 representatively shows four solar cell units 74, more or fewer solar cell units 74 may be provided.

FIG. 4 is a diagram showing the configuration of the solar cell unit according to the embodiment of the present disclosure.

4, solar cell unit 74 includes four power generation units 78 and junction box 76 . The power generation section 78 has a solar panel 79 . Junction box 76 has copper bars 77 .

Although FIG. 4 representatively shows four power generation units 78, more or fewer power generation units 78 may be provided.

The power generation unit 78 is a string in which four solar panels 79A, 79B, 79C, and 79D, which are the solar panel 79 in this example, are connected in series.

Although FIG. 4 representatively shows four solar cell panels 79, more or fewer solar cell panels 79 may be provided.

In the photovoltaic power generation system 401, output lines and aggregate lines, ie, power lines, from the plurality of power generation units 78 are electrically connected to the PCS 8 shown in FIG.

More specifically, the output line 1 of the power generation section 78 has a first end connected to the power generation section 78 and a second end connected to the copper bar 77 . Each output line 1 is aggregated into an aggregate line 5 via a copper bar 77 . Copper bar 77 is provided inside junction box 76, for example.

When the power generation unit 78 receives sunlight, it converts the energy of the received sunlight into DC power and outputs the converted DC power to the output line 1 .

3 and 4, aggregate line 5 has a first end connected to copper bar 77 in the corresponding solar cell unit 74 and a second end connected to copper bar 72 . Each aggregate line 5 is aggregated into an aggregate line 2 via a copper bar 72 . Copper bar 72 is provided, for example, inside collector box 71 .

1 to 4, in solar power generation system 401, each output line 1 from a plurality of power generation units 78 is aggregated into aggregate line 5, and each aggregate line 5 is aggregated into aggregate line 2, as described above. and each aggregate line 2 is electrically connected to the PCS8.

More specifically, each aggregate line 2 has a first end connected to the copper bar 72 in the corresponding collector unit 60 and a second end connected to the copper bar 7 . In PCS 8 , internal line 3 has a first end connected to copper bar 7 and a second end connected to power converter 9 .

In the PCS 8, the power conversion unit 9, for example, outputs the DC power generated in each power generation unit 78 via the output line 1, the copper bar 77, the aggregate line 5, the copper bar 72, the aggregate line 2, the copper bar 7 and the internal line 3. , it converts the received DC power into AC power and outputs it to the aggregation line 4 .

The aggregate line 4 has a first end connected to the power converter 9 and a second end connected to the copper bar 73 .

In the cubicle 6, the AC power output from the power converter 9 in each PCS 8 to each aggregate line 4 is output to the system via the copper bar 73.

[Surveillance system configuration]
FIG. 5 is a diagram showing the configuration of a monitoring system according to an embodiment of the present disclosure.

With reference to FIG. 5, the monitoring system 301 is used in the photovoltaic power generation system 401. The monitoring system 301 includes one or more determination devices 101 , multiple monitoring devices 111 , and multiple collection devices 151 . In FIG. 5, the monitoring system 301 includes one determination device 101 as an example.

Although FIG. 5 representatively shows four monitoring devices 111 provided corresponding to one current collecting unit 60, more or fewer monitoring devices 111 may be provided.

In the monitoring system 301, sensor information in the monitoring device 111, which is a child device, is transmitted to the collection device 151 regularly or irregularly.

The monitoring device 111 is provided in the current collecting unit 60, for example. More specifically, four monitoring devices 111 are provided corresponding to the four solar cell units 74, respectively. Each monitoring device 111 is, for example, electrically connected to a corresponding output line 1 and aggregate line 5 .

The monitoring device 111 measures the current of each output line 1 in the corresponding solar cell unit 74 using a sensor. Also, the monitoring device 111 measures the voltage of each output line 1 in the corresponding solar cell unit 74 using a sensor.

The collection device 151 is provided near the PCS8, for example. More specifically, the collection device 151 is provided corresponding to the PCS 8 and electrically connected to the copper bar 7 via the signal line 46 .

The monitoring device 111 and the collection device 151 transmit and receive information by performing power line communication (PLC: Power Line Communication) via the aggregation lines 2 and 5.

More specifically, each monitoring device 111 transmits monitoring information indicating the measurement results of the current and voltage of the corresponding output line. The collection device 151 collects measurement results of each monitoring device 111 .

[Configuration of monitoring device]
FIG. 6 is a diagram showing the configuration of a monitoring device in the monitoring system according to the embodiment of the present disclosure. In FIG. 6 output line 1, aggregate line 5 and copper bar 77 are shown in more detail.

Referring to FIG. 6, the output line 1 includes a plus side output line 1p and a minus side output line 1n. Aggregate line 5 includes a plus side aggregate line 5p and a minus side aggregate line 5n. Copper bars 77 include plus side copper bars 77p and minus side copper bars 77n.

Although not shown, the copper bars 72 in the current collection box 71 shown in FIG. 3 include plus side copper bars 72p and minus side copper bars 72n corresponding to the plus side aggregate line 5p and the minus side aggregate line 5n, respectively.

The plus side output line 1p has a first end connected to the corresponding power generating section 78 and a second end connected to the plus side copper bar 77p. The negative output line 1n has a first end connected to the corresponding power generation section 78 and a second end connected to the negative copper bar 77n.

The plus side aggregate line 5 p has a first end connected to the plus side copper bar 77 p and a second end connected to the plus side copper bar 72 p in the current collection box 71 . The negative aggregate line 5n has a first end connected to the negative copper bar 77n and a second end connected to the negative copper bar 72n in the collector box 71 .

The monitoring device 111 includes a detection processing unit 11, four current sensors 16, a voltage sensor 17, and a communication unit 14. Note that the monitoring device 111 may have more or less current sensors 16 depending on the number of output lines 1 .

The monitoring device 111 is provided near the power generation unit 78, for example. Specifically, the monitoring device 111 is provided, for example, inside a connection box 76 provided with a copper bar 77 to which the output line 1 to be measured is connected. Note that the monitoring device 111 may be provided outside the connection box 76 .

The monitoring device 111 is electrically connected to, for example, the plus side aggregate line 5p and the minus side aggregate line 5n via the plus side power supply line 26p and the minus side power supply line 26n, respectively. Each of the plus-side power supply line 26p and the minus-side power supply line 26n is also referred to as a power supply line 26 hereinafter.

Each monitoring device 111 transmits monitoring information indicating the measurement result of the corresponding power generation unit 78 via the power line connected to itself and the collection device 151 .

Specifically, the communication unit 14 in the monitoring device 111 can perform power line communication via the aggregation line with the collection device 151 that collects the measurement results of the multiple monitoring devices 111 . More specifically, the communication section 14 can transmit and receive information via the aggregate lines 2 and 5 . Specifically, the communication unit 14 performs power line communication with the collection device 151 via the power line 26 and the aggregate lines 2 and 5 .

The detection processing unit 11 is set, for example, to create monitoring information indicating the measurement results of the current and voltage of the corresponding output line 1 every predetermined time. The predetermined time is, for example, 1 minute.

The current sensor 16 measures the current of the output line 1. More specifically, the current sensor 16 is, for example, a Hall element type current probe. The current sensor 16 uses power received from a power supply circuit (not shown) of the monitoring device 111 to measure the current flowing through the corresponding negative output line 1n and outputs a signal indicating the measurement result to the detection processing unit 11 . The current sensor 16 may measure the current flowing through the plus side output line 1p.

The voltage sensor 17 measures the voltage of the output line 1. More specifically, voltage sensor 17 measures the voltage between plus side copper bar 77p and minus side copper bar 77n and outputs a signal indicating the measurement result to detection processing unit 11 .

For example, the detection processing unit 11 performs signal processing such as averaging and filtering on each measurement signal received from each current sensor 16 and each voltage sensor 17 at predetermined time intervals, and converts the signals into digital signals.

The detection processing unit 11 stores the measured value indicated by each created digital signal, the ID of the corresponding current sensor 16 (hereinafter also referred to as current sensor ID), and the ID of the voltage sensor 17 (hereinafter also referred to as voltage sensor ID). , and the ID of its own monitoring device 111 (hereinafter also referred to as a monitoring device ID).

The detection processing unit 11 creates a monitoring information packet whose source ID is its own monitoring device ID, whose destination ID is the ID of the collection device 151, and whose data portion is monitoring information. The detection processing unit 11 then outputs the created monitoring information packet to the communication unit 14 . Note that the detection processing unit 11 may include a sequence number in the monitoring information packet.

The communication unit 14 transmits the monitoring information packet received from the detection processing unit 11 to the collection device 151 .

　Referring to FIG. 5 again, the collection device 151 can transmit and receive information via the aggregation lines 2 and 5. Specifically, the collection device 151 performs power line communication with the monitoring device 111 via the signal line 46 and the aggregation lines 2 and 5, and receives monitoring information packets from the plurality of monitoring devices 111, for example.

The collection device 151 has a counter and a storage unit, and upon receiving a monitoring information packet from the monitoring device 111, obtains monitoring information from the received monitoring information packet and obtains the count value in the counter as the reception time. After including the reception time in the monitoring information, the collection device 151 saves the monitoring information in a storage unit (not shown).

[Configuration of determination device]
FIG. 7 is a diagram showing the configuration of a determination device in the monitoring system according to the embodiment of the present disclosure.

With reference to FIG. 7, the determination device 101 includes a communication processing unit (output unit) 81, an abnormality determination unit 82, and a storage unit 83. Abnormality determination unit 82 includes a first acquisition unit 91 , a second acquisition unit 92 , a calculation unit 93 , and a detection unit 94 . Part or all of the communication processing unit 81 and the abnormality determination unit 82 are implemented by processors such as a CPU (Central Processing Unit) and a DSP (Digital Signal Processor). Storage unit 83 is, for example, a non-volatile memory.

For example, the ID of the monitoring device 111 to be managed, that is, the monitoring device ID is registered in the storage unit 83 . Further, the storage unit 83 registers a correspondence R1 between the monitoring device ID and the ID of each sensor included in the monitoring device 111 having the monitoring device ID, that is, the current sensor ID and the voltage sensor ID.

The determination device 101 is, for example, a server, periodically acquires monitoring information from the collecting device 151, and processes the acquired monitoring information. For example, the determination device 101 receives monitoring information from some or all of the plurality of collection devices 151 and performs abnormality determination, which will be described later, for each PCS unit 80 . Note that the determination device 101 may be configured to be built in the collection device 151, for example.

More specifically, the communication processing unit 81 in the determination device 101 transmits and receives information to and from other devices such as the collection device 151 via the network.

The communication processing unit 81 acquires monitoring information indicating the measurement results of the output current and output voltage of each power generation unit 78 at a designated daily processing timing, for example, at midnight every day. If the determination device 101 is incorporated in the collection device 151, monitoring information can be easily collected at shorter intervals.

More specifically, when the daily processing timing arrives, the communication processing unit 81 refers to each monitoring device ID registered in the storage unit 83, corresponds to each of the referenced monitoring device IDs, and stores the data within 24 hours of the daily processing timing. A monitoring information request is sent to the collection device 151 for requesting monitoring information including the reception times belonging to the previous to the daily processing timing (hereinafter also referred to as processing day).

Upon receiving the monitoring information request from the determination device 101, the collection device 151 transmits to the determination device 101 one or more pieces of monitoring information that satisfy the contents of the monitoring information request according to the received monitoring information request.

FIG. 8 is a diagram showing an example of monitoring information held by the determination device in the monitoring system according to the embodiment of the present disclosure.

8, the monitoring information includes a monitoring device ID, a current sensor ID of each current sensor 16 in monitoring device 111, a current value that is a measurement value of each current sensor 16, and a voltage sensor ID of voltage sensor 17. , the voltage value that is the measurement value of the voltage sensor 17, and the reception time. The reception time is the time when the collection device 151 receives the monitoring information transmitted from the monitoring device 111 .

Upon receiving one or a plurality of pieces of monitoring information from the collection device 151 as a response to the monitoring information request, the communication processing unit 81 saves each piece of received monitoring information in the storage unit 83 .

The anomaly determination unit 82 performs an anomaly determination for determining an anomaly due to aged deterioration of the power generation unit 78 for each predetermined period based on a plurality of pieces of monitoring information stored in the storage unit 83 . For example, the abnormality determination unit 82 performs abnormality determination on the first day of every month.

[Details of abnormality determination part]
The abnormality determination unit 82 compares the power generated by the power generation unit 78 to be determined (hereinafter also referred to as the “target power generation unit 78”) with the power generated in the past by the target power generation unit 78, thereby determining the target power generation. Abnormality judgment of the part 78 is performed.

Here, there is a possibility that an accurate determination result cannot be obtained in the abnormality determination of the target power generation unit 78 due to the influence of the power generation environment such as solar radiation conditions such as the altitude of the sun, weather and shadows on the generated power. Therefore, in the abnormality determination of the target power generation unit 78, the abnormality determination unit 82 determines the power generation environment of the target power generation unit 78 and The generated power to be compared is determined based on the power generation environment.

More specifically, the abnormality determination unit 82 determines the power generation of the target power generation unit 78 in, for example, a situation in which the power generation environment is similar to each other, that is, the solar radiation conditions are similar to each other, and the effects of shadows and the like are similar to each other. The power is compared with the power generated in the past by the target power generation unit 78 .

Specifically, on the first day of each month, the abnormality determination unit 82 determines whether the generated power is the last month's generated power at a timing when the influence of shadows or the like is small, and the generated power in the same month of the reference year and the shadows or the like. Compare with the generated power at the timing when the influence of Details of the abnormality determination unit 82 will be described below.

(a) First Acquisition Unit (a-1) Acquisition of Pseudo Maximum Value FIG. 9 is a diagram for explaining the operation of the first acquisition unit in the determination device according to the embodiment of the present disclosure.

Referring to FIG. 9 , the first acquisition unit 91 acquires the statistical value of the generated power of each power generation unit 78, the acquired statistical value, and the target Acquire a pair with the power generated by the power generation unit 78 .

More specifically, the first acquisition unit 91 acquires each power generation connected to the same PCS 8 based on the current measurement result and the voltage measurement result indicated by each of the plurality of pieces of monitoring information stored in the storage unit 83. A list of power generated by the unit 78 for each predetermined time period is created in units of a predetermined period.

For example, the first acquisition unit 91 creates a list of power generated by each power generation unit 78 for each minute on a monthly basis.

Note that the first acquisition unit 91 may be configured to create a list of power generated by each power generation unit 78 in units of periods longer than one month. However, if the length of the period is long, the solar radiation conditions such as the altitude of the sun change during the period. can be compared with each other.

Also, the first acquisition unit 91 may be configured to create a list of power generated by each power generation unit 78 in units of a period shorter than one month, such as one week. However, when the length of the period is short, it is difficult to avoid the influence of weather that continues over the period, such as a long rainy season, and there is a possibility that the generated power under different solar radiation conditions will be compared.

For this reason, it is preferable that the first acquisition unit 91 is configured to create a list of power generated by each power generation unit 78 in units of about one month.

The first acquisition unit 91 also refers to the created power generation list and acquires the statistical value of the power generation of each power generation unit 78 for each predetermined time. The statistical value of the generated power of each power generation unit 78 is, for example, the maximum value, the median value, the x-th value from the maximum value, or the top x values of the generated power of each power generation unit 78 obtained at the same timing. such as the average value of

Here, the first acquisition unit 91 acquires, i.e., obtains, the maximum value (hereinafter referred to as “pseudo maximum value”) of the power generated by each power generation unit 78 for each minute as a statistical value. explain.

Specifically, it is assumed that k power generation units 78(1) to 78(k) are connected to a certain PCS8. In this case, as shown in FIG. 9, the first acquisition unit 91, for example, among the power generation units 78(1) to 78(k), obtains the power Identify the generated power Wα of the unit 78(α), identify the generated power Wβ of the power generation unit 78(β) as the pseudo maximum value at 7:01 on January 1, 2021, and specify the generated power Wβ of the power generation unit 78(β) on January 1, 2021 The power generation Wk of the power generation unit 78(k) is specified as the pseudo maximum value at 7:02. In this way, the first obtaining unit 91 identifies the pseudo maximum value for each minute for one month.

The power generated by the power generation unit 78 may suddenly change when at least one of the current sensor 16 and the voltage sensor 17 malfunctions, or when the weather suddenly changes. In such a case, if the first acquisition unit 91 acquires the generated power with a sudden change as the pseudo maximum value, there is a possibility that an accurate determination result cannot be obtained in the abnormality determination described later.

Therefore, instead of obtaining the pseudo maximum value, the first obtaining unit 91 obtains, for example, the median value of the power generated by each power generation unit 78 (hereinafter referred to as the “pseudo median value”) as a statistical value. You may Hereinafter, the pseudo maximum value and the pseudo median value are collectively referred to as "pseudo power generation value".

In addition, when the first acquisition unit 91 acquires the pseudo maximum value as a statistical value, for example, the generated power other than the value that is significantly larger than the other generated power obtained at the same timing is set as the pseudo maximum value. It may be configured to acquire.

Note that the first acquisition unit 91 is not limited to the configuration that acquires the statistic value of the power generated by each power generation unit 78 connected to the same PCS 8 . It may be configured to acquire the statistic value of the generated power.

However, if the first acquisition unit 91 is configured to acquire the statistic value from the power generated by each power generation unit 78 connected to the same PCS 8, in the abnormality determination of the target power generation unit 78 described later, the PCS 8 It is possible to make a determination taking into account the influence of operating conditions and the like, and to appropriately suppress the amount of storage area used in the storage unit 83 .

(a-2) Acquisition of pairs of simulated power generation value and target power Acquire a set with generated power (hereinafter also referred to as “target power”). Each generated power used to acquire the pseudo power generation value is the power generated from which the pseudo power generation value is obtained, that is, the power generated by each power generation unit 78 obtained at the same timing as the pseudo power generation value.

For example, the power generation unit 78(1) is the target power generation unit 78, and the power generated by the target power generation unit 78(1) at each timing of 7:00, 7:01, 7:02, . Suppose that they are "W12", "W13", and so on.

In this case, the first acquisition unit 91 acquires (Wα, W11), (Wβ, W12), (Wk, W13), .

FIG. 10 is a scatter diagram plotting a plurality of sets acquired by the first acquisition unit in the determination device according to the embodiment of the present disclosure. In FIG. 10, the horizontal axis indicates the pseudo maximum value, and the vertical axis indicates the target power.

Referring to FIG. 10, first acquiring unit 91 obtains pairs (Wα, W11), (Wβ, W12), (Wk, W13), . Plot a point at each position corresponding to . Then, the first acquisition unit 91 saves data representing the created scatter diagram in the storage unit 83 . Most of the points plotted by the first acquisition unit 91 are around the straight line G with a slope of 1 and are located on the horizontal axis side of the straight line G. That is, the slope of the straight line passing through each point and the origin of the graph is less than one.

(b) Second acquisition unit (b-1) Acquisition of representative value Segmentation is performed by providing segments (hereinafter referred to as “class cells”).

For example, the second acquisition unit 92 identifies the possible range of power generated by the power generation unit 78 based on the pseudo maximum values included in the plurality of sets obtained by the first acquisition unit 91, and sets the identified range to 50 W. Divide into multiple class cells by unit.

The second acquisition unit 92 divides a part of the possible range of the generated power of the power generation unit 78 into a plurality of class cells based on the rated capacity of the target power generation unit 78, the power conversion capacity of the PCS 8, and the like. may be

Specifically, when the total power generated by each power generation unit 78 connected to the same PCS 8 exceeds the power conversion capacity of the PCS 8, that is, in the case of overloading, the power generated by the power generation unit 78 does not reach 3000W. , or points plotted near 3000 W on the vertical axis in the graph shown in FIG.

Therefore, even if the range of power generated by the power generation unit 78 is 0 W to 3000 W, the second acquisition unit 92 sets the maximum value of the horizontal axis to 2500 W, and excludes the low power generation region where the amount of power generation is small. In order to do so, the minimum value of the horizontal axis is set to 500 W, and the range of values on the horizontal axis from 500 W to 2500 W is defined as class cell "1", which is the section from 500 W to 550 W, and class cell "2", which is the section from 550 W to 600 W. , .

In FIG. 10, in order to make the graph easier to see, the range of values on the horizontal axis from 500 W to 1000 W is divided into a plurality of class cells.

In addition, the second acquisition unit 92 acquires the statistical values of multiple target powers as the representative value P for each class cell. For example, the second acquisition unit 92 identifies, for each class cell, the group having the maximum target power among the plurality of groups included in the class cell, and acquires the target power contained in the group as the representative value P. .

Thus, in the range of each class cell, the maximum generated power that can be output by the target power generation unit 78, that is, the generated power in a power generation environment where the influence of shadows and the like is low can be obtained as the representative value P.

In the graph shown in FIG. 10, the point corresponding to the representative value P specified for each class cell is shown larger than the other points.

Note that the second acquisition unit 92 may be configured not to acquire the representative value P of the class cell when the number of pairs included in the class cell is equal to or less than a predetermined number. With such a configuration, the reliability of the representative value P acquired by the second acquisition unit 92 can be ensured.

Also, when the first acquisition unit 91 acquires the pseudo median value as the pseudo power generation value, the second acquisition unit 92 acquires the median value among the plurality of target powers as the representative value P for each class cell.

(b-2) Storage of representative value For each target power generation unit 78, the second acquisition unit 92 stores, for example, the representative value P, the ID of the target power generation unit 78, the year and month to be determined (hereinafter referred to as “determination month ”, and the class cell number are associated with each other and stored in the storage unit 83 .

FIG. 11 is a diagram showing representative values stored in the storage unit in the determination device according to the embodiment of the present disclosure. The table shown in FIG. 11 shows the representative value P of each class cell in January from the base year to n years later. The second acquisition unit 92 can create the table by repeating the acquisition of the representative value P of each class cell in January for n years from the reference year. The table is created, for example, on February 1, n years after the base year.

Referring to FIG. 11, here, the second acquisition unit 92 stores the representative value P in the storage unit 83 in the form of P(s, c, y, m). In P(s, c, y, m), "s" indicates the ID of the target power generation unit 78, "c" indicates the class cell number, "y" indicates the year to be judged, and "m" indicates the month to be judged.

Assume that the representative value P acquired by the second acquisition unit 92 is the representative value P of the power generation unit 78(1) and the representative value P of the class cell "1" in January 2021. It is also assumed that the ID of power generation unit 78(1) is "1". In this case, the second acquisition unit 92 stores P(1, 1, 2021, 1) in the storage unit 83, for example.

In the example shown in FIG. 11, the representative value P of the power generation unit 78(1) is shown for each class cell in January from 2021 to n years later. In this way, the second obtaining unit 92 stores the representative value P for each class cell, which is the representative value P for each month from the base year to n years later, in the storage unit 83 for each power generation unit 78 .

Similarly, after 2022, the second acquisition unit 92 acquires the representative value P of each class cell of the last month on February 1, for example, and adds the acquired representative value P to the table shown in FIG. , to store representative values. The second acquisition unit 92 similarly stores the representative value P not only for January but also for each month.

Also, the second acquisition unit 92 stores the representative value P for each month as described above for each power generation unit 78 .

(c) Calculation Unit The calculation unit 93 calculates a performance index In indicating the power generation performance of the target power generation unit 78 based on the power generated by the target power generation unit 78 and the power generated by the target power generation unit 78 in the reference year. More specifically, the calculation unit 93 calculates, for each class cell, the representative value P of the determination month in the reference year for each target power generation unit 78 based on the plurality of representative values P stored in the storage unit 83, A ratio R to the representative value P of the judgment month n years after the reference year is calculated. Then, the calculation unit 93 acquires the calculated statistical value of the ratio R for each class cell as the performance index In of the target power generation unit 78 after n years. The statistical value of the ratio R for each class cell is the maximum value, the median value, the x-th value from the maximum value, or the average value of the top x values among the ratios R for each class cell.

Here, a method for calculating the performance index In of the target power generation unit 78(1) in January 2022 will be described.

Specifically, the calculation unit 93 calculates the representative value P (1, 1, 2021, 1) in January 2021 of the class cell “1” and the A ratio R (=P(1,1,2022,1)/P(1,1,2021,1)) to the representative value P(1,1,2022,1) in January 2022 is calculated.

Further, the calculation unit 93 calculates, for example, the representative value P(1, 2, 2021, 1) for January 2021 of the class cell “2” and the representative value P(1, 2, 2021, 1) for the class cell “2” for A ratio R (=P(1,2,2022,1)/P(1,2,2021,1)) to the representative value P(1,2,2022,1) in January is calculated.

The calculation unit 93 calculates 40 ratios R respectively corresponding to the class cells "1" to "40" using the calculation method described above. Then, the calculation unit 93 acquires, for example, the median value of the calculated 40 ratios R as the performance index In of the power generation unit 78(1) in January 2022.

The calculation unit 93 acquires the performance index In of the power generation unit 78 ( 1 ) using the same method for each month from February 2022 onwards, and stores the acquired performance index In in the storage unit 83 . Thereby, the calculation unit 93 acquires the time-series change in the performance index In of the power generation unit 78(1).

Similarly, the calculation unit 93 acquires time-series changes in the performance index In of the other target power generation units 78 and stores the acquired performance index In in the storage unit 83 .

It should be noted that the calculation unit 93 calculates, in a predetermined period, when the variance of the ratio R for each class cell is greater than a predetermined threshold, or when the loss of data indicating the measurement results included in the monitoring information is greater than or equal to a predetermined threshold. etc., the configuration may be such that the performance index In for the predetermined period is not acquired.

(d) Detector FIGS. 12 to 14 are graphs showing an example of time-series changes in the performance index acquired by the calculator in the determination device according to the embodiment of the present disclosure.

12 to 14, the detection unit 94 performs detection processing for detecting an abnormality in the target power generation unit 78 based on the performance index In calculated by the calculation unit 93. FIG. For example, the detection unit 94 performs detection processing at a plurality of detection timings for each predetermined period. In the detection process, the detection unit 94 determines whether or not there is an abnormality for each target power generation unit 78 based on the performance index In, which is one of the plurality of ratios R calculated by the calculation unit 93. make a judgment.

More specifically, for example, every time a predetermined period of time elapses, the detection unit 94 detects a time-series change in the performance index In based on a plurality of performance indexes In of the target power generation unit 78 stored in the storage unit 83. By determining whether or not a predetermined condition is satisfied, it is determined whether or not there is an abnormality in the target power generation section 78 .

For example, the detection unit 94 detects when the rate of decrease of the performance index In exceeds a first predetermined value compared to the reference year, or when the rate of decrease of the performance index In per year exceeds a second predetermined value, It is determined that the time series change of the performance index In satisfies a predetermined condition.

The first predetermined value is, for example, 2%, and the second predetermined value is, for example, 0.8%/year. 12 to 14, a line L1 indicating whether the rate of decrease of the performance index In exceeds a first predetermined value, and a line L1 indicating whether the rate of decrease of the performance index In per year exceeds a second predetermined value. A line L2 indicating the reference is shown.

Specifically, as shown in FIG. 12, it is assumed that the performance index In does not change significantly during the period from January 2022 to October 2024. In this case, the detection unit 94 determines that the chronological change in the performance index In of the target power generation unit 78 does not satisfy the predetermined condition, and that no abnormality has occurred in the target power generation unit 78 during the period.

Also, as shown in FIG. 13, the performance index In gradually decreases during the period from January 2022 to October 2024, but the above predetermined condition is not satisfied. Also in this case, the detection unit 94 determines that the target power generation unit 78 does not have an abnormality during the period.

Further, as shown in FIG. 14, in the period from January 2022 to January 2024, as of July 2023, the performance index In is less than 98%, and the above predetermined condition is satisfied. and In this case, for example, in the abnormality determination performed on August 1, 2023, the detection unit 94 determines that an abnormality has occurred in the target power generation unit 78 in July 2023, which is the last month. The determination result indicating that an abnormality has occurred is stored in the storage unit 83 .

(e) Warning of determination result When the same target power generation unit 78 is detected to have an abnormality more than once in succession, the communication processing unit 81 performs a predetermined output. The plurality of times is, for example, three times.

More specifically, the communication processing unit 81 refers to the determination result by the detection unit 94 stored in the storage unit 83 every time a predetermined period of time elapses, for example, and the same target power generation unit 78 is used for three months. If the determination result indicating that the abnormality has occurred continuously is stored, an alarm is output to the administrator or the like.

In the example shown in FIG. 14, the performance index In is less than 98% continuously for three months from July to September 2023. Therefore, for example, on October 1, 2023, when the determination result for September 2023 was obtained, the communication processing unit 81 outputs an alarm to the effect that the target power generation unit 78 has an abnormality.

For example, the communication processing unit 81 displays the ID of the target power generation unit 78 and the fact that an abnormality has occurred due to aged deterioration or the like on a monitor, or sends an e-mail.

Further, the communication processing unit 81 displays in a display mode different from that of the other power generation units 78, for example, by brightly displaying the ID of the target power generation unit 78 on the screen showing the list of the plurality of power generation units 78. good too.

Note that the communication processing unit 81 may be configured to output a predetermined output each time an abnormality is detected in the target power generation unit 78 .

(Modification 1)
In acquiring the performance index In of the target power generation unit 78 , the calculation unit 93 may be configured to acquire the performance index of the target power generation unit 78 for each time zone.

In this case, the first acquisition unit 91 divides a day into a plurality of time slots and acquires a set of the simulated power generation value and the target power for each time slot. For example, the first acquisition unit 91 acquires a plurality of pairs in the morning time zone and a plurality of pairs in the afternoon time zone for the target power generation unit 78, and prepares a scatter diagram as shown in FIG. and for each time period in the afternoon.

The second acquisition unit 92 acquires the representative value P for each class cell for each time period based on the scatter diagram for each time period created by the first acquisition unit 91 .

The calculation unit 93 uses the representative value P for each class cell acquired by the second acquisition unit 92 to calculate the performance index for each time slot. Then, the calculation unit 93 performs abnormality determination using any one of the performance indicators for each time period.

For example, the calculation unit 93 acquires the highest value of the performance indexes in the morning and afternoon time slots as the performance index In of the target power generation unit 78, and uses the acquired performance index In to perform abnormality determination.

Note that the first acquisition unit 91 is not limited to a configuration in which one day is divided into two time zones, morning and afternoon. For example, one day may be divided into three or more time zones. A day may be divided into two or more time periods.

(Modification 2)
The first acquisition unit 91 divides the day into a plurality of time zones, and further, for each time zone, obtains a first set of the pseudo maximum value and the target power and a second set of the pseudo median value and the target power. may be configured to obtain both.

Here, the first acquiring unit 91 obtains the plurality of first pairs and the plurality of second pairs in the morning time slot and the plurality of first pairs and the plurality of second pairs in the afternoon time slot. I will get it.

In this case, the first acquisition unit 91 obtains the first set of morning time slots, the second set of morning time slots, the first set of afternoon time slots, and the afternoon time slot for the target power generation unit 78. Create four scatterplots, each corresponding to the second set of bands.

The second acquisition unit 92 acquires the representative value P for each class cell for each of the four scatter diagrams created by the first acquisition unit 91 .

The calculation unit 93 calculates the performance index In using the representative value P for each class cell acquired by the second acquisition unit 92 for each of the four scatter diagrams. Then, the calculation unit 93 acquires, for example, the highest value among the calculated four performance indices as the performance index In of the target power generation unit 78 .

(Modification 3)
FIG. 15 is a diagram for explaining changes in the pseudo maximum value acquired by the first acquisition unit in the determination device according to the embodiment of the present disclosure;

Referring to FIG. 15, even if the solar radiation condition at a certain timing in the reference year and the solar radiation condition at a certain timing n years after the reference year are the same, the maximum generated power obtained from power generation unit 78 is the first The pseudo maximum value acquired by the acquisition unit 91 may change.

For example, if one or more of the plurality of power generation units 78 connected to the same PCS 8 are replaced during the period from the reference year to n years later, even if the solar radiation conditions are the same, the PCS 8 will not be connected. The maximum generated power that can be output by the generated power generation unit 78 may increase.

In this case, as shown in FIG. 15, in each pair of the pseudo maximum value and the target power acquired by the first acquisition unit 91, the ratio of the pseudo maximum value to the target power becomes large. That is, the positions of the plurality of points plotted by the first acquisition unit 91 corresponding to the plurality of sets are around the straight line G1 in the base year, but are around the straight line G2 after n years. change to

In this way, if the pseudo maximum value changes even though the solar radiation conditions are the same, there is a possibility that an accurate determination result cannot be obtained in the abnormality determination of the target power generation unit 78 .

Therefore, the second acquisition unit 92 acquires a correction value corresponding to the change in the pseudo maximum value based on the plurality of ratios R, and corrects the representative value P of each class cell using the acquired correction value. Therefore, the configuration may be such that the influence on the representative value P due to the change in the pseudo maximum value is corrected.

Specifically, the second acquisition unit 92 acquires the ratio R for each class cell calculated by the calculation unit 93 for the multiple power generation units 78 including the target power generation unit 78, and based on the multiple acquired ratios R , corrects the representative value P of the section corresponding to a plurality of ratios R.

More specifically, the second acquisition unit 92 acquires the ratio R for all the power generation units 78 connected to the same PCS 8 for each class cell, and the median value MedR of the acquired multiple ratios R is taken as the corresponding Acquired as the correction value of the class cell. Then, the second obtaining unit 92 corrects the obtained representative value P for each class cell using the corresponding correction value.

Here, a case where k power generation units 78 are connected to the same PCS 8 and the second acquisition unit 92 corrects the representative value P for January 2022 will be described.

The second acquisition unit 92 acquires the representative value P for each class cell in January 2022 for each of the k power generation units 78, as described above.

As described above, the calculation unit 93 uses the representative value P for each class cell of January 2022 acquired by the second acquisition unit 92 for each of the k power generation units 78 to obtain the class cell of January 2022. Calculate the ratio R for each.

The second acquisition unit 92 acquires the ratio R for each class cell in January 2022 of the k power generation units 78 calculated by the calculation unit 93 . For example, the second acquisition unit 92 acquires k ratios R of class cells “1” in January 2022 corresponding to k power generation units 78 respectively. Then, the second obtaining unit 92 obtains the median value MedR of the obtained k ratios R as the correction value of the January 2022 class cell “1”.

Then, the second acquiring unit 92 corrects the representative value P using the acquired correction value for each January 2022 class cell of the target power generating unit 78 . Specifically, the second acquisition unit 92 divides the representative value P of the class cell “1” in January 2022 of the target power generation unit 78 by the correction value corresponding to the class cell “1” (P= P/MedR), correcting the representative value P.

Further, when the representative value P is corrected by the second acquiring unit 92, the calculating unit 93 calculates the ratio R using the corrected representative value P, and out of the calculated ratio R for each class cell, Any one, for example, the median value, is obtained as the performance index In.

(Modification 4)
FIG. 16 is a diagram illustrating an example of determination results by the detection unit in the determination device according to the embodiment of the present disclosure; FIG. 16 shows the actual state of the target power generation unit 78 and the transition of the determination result of the target power generation unit 78 by the detection unit 94 . Regarding the actual state of the target power generation section 78 in FIG. indicate that 16, "N" (Normal) indicates that the detection unit 94 has determined that there is no abnormality in the target power generation unit 78, and "A" (Abnormal) indicates that the detection unit 94 This indicates that it has been determined that the power generation unit 78 has an abnormality. Hereinafter, among the determination results obtained by the detection unit 94, the determination result indicating that an abnormality has occurred in the target power generation unit 78 will also be referred to as an abnormality determination result. Also called

With reference to FIG. 16, the detection unit 94 starts abnormality determination for the target power generation unit 78 in the year following the base year. The reference year is, for example, the first year after the start of operation of the determination device 101 .

For example, in July of the year n years after the base year, if an abnormality due to aged deterioration etc. occurs in the target power generation unit 78 and the target power generation unit 78 is not replaced, etc., in the year n years after the base year Even after August, the state in which the target power generation unit 78 is abnormal continues.

In this case, the detection unit 94 determines that an abnormality has occurred in the target power generation unit 78 in July of the year n years after the reference year. The detection unit 94 also determines that the target power generation unit 78 has an abnormality in the determination month after August of the year n years after the reference year.

FIG. 17 is a diagram showing another example of determination result by the detection unit in the determination device according to the embodiment of the present disclosure. The view of FIG. 17 is the same as that of FIG.

Referring to FIG. 17, for example, if an abnormality due to age-related deterioration occurs in the target power generation unit 78 in July of the base year and the replacement of the target power generation unit 78 is not performed, even after August of the base year The state in which the target power generation unit 78 is abnormal continues.

The detection unit 94 starts abnormality determination for the target power generation unit 78 in January one year after the reference year, and determines that the target power generation unit 78 has an abnormality.

On the other hand, the detection unit 94 detects that the target power generation unit 78 does not have an abnormality even though the target power generation unit 78 continues to be in an abnormal state from July to December one year after the reference year. I judge. This is because the representative value P in the period from July to December of the base year is smaller than the representative value P in the period from January to June of the base year. This is because the performance index In in the judgment months up to December is relatively high.

Therefore, in order to suppress an erroneous determination due to an abnormality occurring in the target power generation unit 78 in the reference year, the detection unit 94 determines that the target power generation unit 78 does not have an abnormality in the determination month. Perform verification processing to verify. For example, when the detection unit 94 determines in the detection process at the first detection timing that an abnormality has not occurred in the target power generation unit 78, the detection unit 94 detects a plurality of consecutive detection timings immediately before the first detection timing. When it is determined in the detection process that an abnormality has occurred in the target power generation unit 78, the result of the detection process at the first detection timing is based on the result of the detection process at the detection timing prior to the first detection timing. Perform verification processing to verify the

FIG. 18 is a diagram showing an example of a determination result after verification processing by the detection unit in the determination device according to the embodiment of the present disclosure. The view of FIG. 18 is the same as that of FIG.

Referring to FIG. 18 , detection unit 94 determines that target power generation unit 78 has an abnormality in a predetermined number of continuous determination months, and determines that target power generation in the determination month following the predetermined number of determination months. If it is determined that there is no abnormality in the unit 78, a verification process is performed to verify whether or not the determination result is correct using the determination result of the past determination month. Thereafter, in the next determination month in which the detection unit 94 determines that the target power generation unit 78 does not have an abnormality in a predetermined number of continuous determination months, it is determined that the target power generation unit 78 does not have an abnormality. The judgment month is also referred to as the verification month.

More specifically, in the verification process, the detection unit 94 acquires the determination results of the determination month for the most recent year from the storage unit 83, and rearranges the acquired determination results in the order of the corresponding determination month. Specifically, when the verification process is performed in July of the year n years after the reference year, the detection unit 94 performs Obtain the judgment results of the judgment month up to July of the year, and obtain the judgment results from August to December of the year (n-1) years after the base year to August of the year n years after the base year. Assuming that the determination results are from January to December, the acquired determination results are sorted in month order.

When the determination results of the determination month for the most recent one year are rearranged, if the determination result of a predetermined number of continuous determination months after the verification month satisfies a predetermined condition that the determination result is normal, the verification The determination result of the month is determined to be incorrect, and the determination result of the verification month is changed from the normal determination result to the abnormal determination result. The detection unit 94 stores the changed determination result in the storage unit 83 .

On the other hand, when the determination results of the determination month for the most recent one year are rearranged, if the predetermined condition is not satisfied, the detection unit 94 determines that the determination result of the verification month is not erroneous, and determines the verification month. Maintain results.

Note that when the verification month is one year after the reference year, the detection unit 94, in the verification process, instead of acquiring the judgment result of the judgment month of the most recent one year from the storage unit 83, Acquire the judgment results from January of the year after the year to the judgment month immediately before the verification month.

<Flow of operation>
Each device in the monitoring system 301 has a computer including a memory, and an arithmetic processing unit such as a CPU in the computer reads out from the memory and executes a program including part or all of each step of the following flowcharts. Programs for these multiple devices can each be installed from the outside. Programs for these devices are stored in recording media and distributed.

FIG. 19 is a flowchart that defines an operation procedure when the determination device according to the embodiment of the present disclosure performs abnormality determination of the power generation unit.

Here, the abnormality determination of one target power generation unit 78 will be described. Further, here, an operation procedure in the case where the determination device 101 performs abnormality determination of the target power generation unit 78 every month, which is an example of a predetermined period, will be described. The determination device 101 performs the following operation for each target power generation unit 78, for example.

Referring to FIG. 19 , first, when communication processing unit 81 acquires one or a plurality of pieces of monitoring information, communication processing unit 81 saves each piece of acquired monitoring information in storage unit 83 . Communication processing unit 81 acquires and stores monitoring information, for example, every day (step S11).

Next, for example, on the first day of every month, the first acquisition unit 91 obtains data for each power generation connected to the same PCS 8 for the last month based on a plurality of pieces of monitoring information stored in the storage unit 83. A statistical value of the power generated by the unit 78 for each minute is obtained as a pseudo power generation value (step S12).

Next, the first obtaining unit 91 obtains the obtained pseudo power generation value and each generated power used to obtain the pseudo power generation value, that is, each power obtained at the same timing from which the pseudo power generation value is obtained. A set of the power generated by the power generation unit 78 and the target power for the last month is obtained (step S13).

Next, the first acquisition unit 91 creates a scatter diagram showing the plurality of acquired pairs on a monthly basis, and stores the data showing the created scatter diagram in the storage unit 83 (step S14).

Next, the second acquisition unit 92 refers to the scatter diagram stored in the storage unit 83, and divides into sections by providing a plurality of class cells indicating different ranges of power generated by the power generation unit 78 (step S15).

Next, the second acquisition unit 92 acquires the statistical values of the plurality of target powers as the representative value P for each class cell, and stores the acquired representative value P in the storage unit 83 (step S16).

Next, based on the plurality of representative values P stored in the storage unit 83, the calculation unit 93 calculates, for each class cell, the ratio R is calculated (step S17).

Next, the calculation unit 93 acquires the calculated statistical value of the ratio R for each class cell as the performance index In of the target power generation unit 78 in the last month of the year to be determined, and stores the acquired performance index In in the storage unit 83. Save (step S18).

Next, the detection unit 94 performs an abnormality determination for detecting the presence or absence of an abnormality in the target power generation unit 78 based on the plurality of performance indicators In stored in the storage unit 83, and when it is determined that an abnormality has occurred , the determination result is stored in the storage unit 83 (step S19).

Next, the communication processing unit 81 refers to the determination result by the detection unit 94 stored in the storage unit 83, and confirms whether or not an abnormality has been detected in the same target power generation unit 78 continuously for a predetermined number of times or more. (step S20).

Then, when an abnormality is continuously detected for the same target power generation unit 78 for a predetermined number of times or more ("YES" in step S20), the communication processing unit 81 outputs a warning to the administrator or the like. Output is performed (step S21).

On the other hand, the communication processing unit 81 does not output an alarm or the like when an abnormality has not been detected continuously for the same target power generation unit 78 for a predetermined number of times or more ("NO" in step S20).

As described in Modification 3, the second acquisition unit 92 may be configured to correct the influence of changes in the pseudo maximum value on the representative value P. In this case, the second acquisition unit 92 corrects the representative value P between the calculation of the ratio R by the calculation unit 93 (step S17) and the acquisition of the performance index In by the calculation unit 93 (step S18).

That is, the second acquisition unit 92 acquires the ratio R for each class cell calculated by the calculation unit 93 in step S17 for the plurality of power generation units 78 connected to the same PCS 8, and The median MedR is taken as the correction value for the corresponding class cell. Then, the second acquiring unit 92 corrects the representative value P for each class cell acquired in step S16 using the corresponding correction value.

Then, in step S18, the calculation unit 93 recalculates the ratio R for each class cell using the corrected representative value P by the second acquisition unit 92, and obtains the statistical values of the newly calculated multiple ratios R as It is acquired as the performance index In of the last month of the determination target year of the target power generation unit 78 .

The above embodiments should be considered as examples in all respects and not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the above description, and is intended to include all changes within the meaning and scope equivalent to the scope of the claims.

The above description includes the features appended below.
[Appendix 1]
A determination device used in a photovoltaic power generation system comprising a plurality of power generation units including solar panels,
a communication processing unit that acquires power generated by a target power generation unit that is the power generation unit to be determined;
a calculation unit that calculates a performance index indicating the power generation performance of the target power generation unit based on the generated power of the target power generation unit acquired by the communication processing unit and the power generation of the target power generation unit in a reference year;
a detection unit that performs detection processing for detecting an abnormality in the target power generation unit based on the performance index calculated by the calculation unit;
The determination device further
A statistical value of the generated power of each power generation unit is acquired, and the power generation of the target power generation unit, which is the power generation unit to be determined, among the acquired statistical value and the generated power used to acquire the statistical value a first acquisition unit that acquires a set of electricity and electric power at predetermined time intervals;
Sectioning is performed to provide a plurality of sections indicating different ranges of the generated power of the power generation unit, and based on the plurality of sets acquired by the first acquisition unit, the power generated by the target power generation unit for each section A second acquisition unit that acquires a representative value of
The calculation unit calculates, for each section, a ratio of the representative value obtained by the second obtaining unit, the representative value obtained in the reference year, and the representative value obtained in the determination target year, Obtaining the statistical value of the ratio for each section as the performance index,
The detection unit detects an abnormality in the target power generation unit based on time-series changes in the performance index,
The first acquisition unit acquires the set every predetermined time in a predetermined period,
The calculation unit calculates the ratio of each section, acquires one of the calculated ratios of each section as the performance index of the target power generation unit in the predetermined period,
The determination device, wherein the detection unit detects an abnormality in the target power generation unit based on the performance index for each predetermined period acquired by the calculation unit.

1 output line 2, 4, 5 aggregate line 3 internal line 6 cubicle 7 copper bar 8 PCS (Power Converter)
9 power conversion unit 11 detection processing unit 14 communication unit 16 current sensor 17 voltage sensor 26 power supply line 46 signal line 60 current collection unit 71 current collection box 72, 73, 77 copper bar 74 solar cell unit 76 junction box 78 power generation unit 79, 79A to 79D solar panel 80 PCS unit 81 communication processing unit (output unit)
82 abnormality determination unit 83 storage unit 91 first acquisition unit 92 second acquisition unit 93 calculation unit 94 detection unit 101 determination device 111 monitoring device 151 collection device 301 monitoring system 401 solar power generation system

Claims (11)

1. A determination device used in a photovoltaic power generation system comprising a plurality of power generation units including solar panels,
   a communication processing unit that acquires power generated by a target power generation unit that is the power generation unit to be determined;
   a calculation unit that calculates a performance index indicating the power generation performance of the target power generation unit based on the generated power of the target power generation unit acquired by the communication processing unit and the power generation of the target power generation unit in a reference year;
   a detection unit that performs detection processing for detecting an abnormality in the target power generation unit based on the performance index calculated by the calculation unit.
2. The communication processing unit acquires the power generated by the target power generation unit every predetermined time and the power generated by each of the plurality of power generation units other than the target power generation unit every predetermined time,
   The determination device further
   Obtaining statistical values of the generated power of each of the power generation units obtained by the communication processing unit, and obtaining the obtained statistical values and power generation of the target power generation unit among the generated power used to obtain the statistical values a first acquisition unit that acquires a pair of electricity and electric power at intervals of the predetermined time;
   Sectioning is performed to provide a plurality of sections indicating different ranges of the generated power of the power generation unit, and based on the plurality of sets acquired by the first acquisition unit, the power generated by the target power generation unit for each section A second acquisition unit that acquires a representative value of
   The calculation unit calculates, for each section, a ratio of the representative value obtained by the second obtaining unit, the representative value obtained in the reference year, and the representative value obtained in the determination target year, Obtaining the statistical value of the ratio for each section as the performance index,
   2. The determination device according to claim 1, wherein said detection unit detects an abnormality in said target power generation unit based on a time-series change in said performance index.
3. The determination device according to claim 2, wherein the first acquisition unit acquires a statistical value of power generated by each of the power generation units connected to the same power converter for each predetermined time.
4. 4. The determination device according to claim 2 or 3, wherein said statistical value for each predetermined time is a maximum value or a median value of power generated by said power generation units at said predetermined time.
5. The second acquisition unit further acquires the ratio for each section calculated by the calculation unit for a plurality of the power generation units including the target power generation unit, and based on the plurality of acquired ratios, the 5. The determination device according to any one of claims 2 to 4, wherein said representative value of said section corresponding to a plurality of ratios is corrected.
6. The second acquisition unit divides a day into a plurality of time zones and acquires the representative value for each section for each of the plurality of time zones,
   The calculation unit calculates the ratio for each of the sections for each of the plurality of time periods, acquires one of the plurality of calculated ratios as the performance index,
   6. The detection unit according to any one of claims 2 to 5, wherein the detection unit performs the detection process based on any one of the performance indicators for each of the plurality of time periods acquired by the calculation unit. The determination device according to item 1.
7. The determination device according to any one of claims 2 to 6, wherein the second acquisition unit divides a part of the possible range of the generated power of the power generation unit into a plurality of sections in the section division. .
8. The detection unit performs the detection process at a plurality of detection timings for each predetermined period,
   The detection unit determines that an abnormality has not occurred in the target power generation unit in the detection processing at the first detection timing, and a plurality of consecutive detection timings immediately before the first detection timing. When it is determined that an abnormality has occurred in the target power generation unit in the detection process of, at the first detection timing based on the result of the detection process at the detection timing before the first detection timing The determination device according to any one of claims 2 to 7, which performs a verification process of verifying a result of the detection process.
9. The detection unit performs the detection process at a plurality of detection timings for each predetermined period,
   The determination device further
   9. The determination device according to any one of claims 2 to 8, further comprising an output unit that outputs a predetermined output when the detection unit continuously detects an abnormality in the target power generation unit for a predetermined number of times or more.
10. The determination device according to claim 8 or 9, wherein the predetermined period is one month.
11. A determination method in a determination device used in a photovoltaic power generation system including a plurality of power generation units including solar panels,
    a step of acquiring the generated power of a target power generation unit, which is the power generation unit to be determined;
    calculating a performance index indicating the power generation performance of the target power generation unit based on the acquired generated power of the target power generation unit and the generated power of the target power generation unit in a reference year;
    and detecting an abnormality in the target power generating unit based on the calculated performance index.
    
    

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