CN113922411A - Method and device for determining distributed photovoltaic absorption capacity - Google Patents

Method and device for determining distributed photovoltaic absorption capacity Download PDF

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Publication number
CN113922411A
CN113922411A CN202110896771.3A CN202110896771A CN113922411A CN 113922411 A CN113922411 A CN 113922411A CN 202110896771 A CN202110896771 A CN 202110896771A CN 113922411 A CN113922411 A CN 113922411A
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photovoltaic
installation
determining
distributed photovoltaic
distribution network
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Inventor
陈璨
王世君
袁绍军
白雪松
吴林林
李文龙
李佳骥
邵尹池
席海阔
于宝鑫
郭明辉
王枭枭
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State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
Chengde Power Supply Co of State Grid Jibei Electric Power Co Ltd
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State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
Chengde Power Supply Co of State Grid Jibei Electric Power Co Ltd
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Priority to CN202110896771.3A priority Critical patent/CN113922411A/en
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    • H02J2300/20—The dispersed energy generation being of renewable origin
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    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
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Abstract

The application provides a method and a device for determining distributed photovoltaic absorption capacity, wherein the method comprises the following steps: determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network; aiming at each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene; and determining the distributed photovoltaic absorption capacity under each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network. The photovoltaic absorption capacity under different distributed photovoltaic installation scenes can be efficiently determined.

Description

Method and device for determining distributed photovoltaic absorption capacity
Technical Field
The application relates to the field of electric power energy, in particular to a method and a device for determining distributed photovoltaic absorption capacity.
Background
In recent years, clean energy power generation systems represented by solar photovoltaic power generation systems have been rapidly developed worldwide due to their advantages of cleanliness, high efficiency, flexibility and controllability.
At present, the grid connection of distributed photovoltaic is mostly realized through a medium-low voltage power distribution network, and the consumption capacity of the power distribution network needs to be reasonably evaluated before the distributed photovoltaic is connected to the power distribution network in a large scale. At present, methods for evaluating the consumption capability of a power distribution network mainly comprise three types, namely a heuristic method, a random scene simulation method and a mathematical optimization method. The random scene simulation method adopts the idea of large sample sampling, and has higher evaluation accuracy compared with a heuristic method and a mathematical optimization method. However, the random scene simulation method needs to sample and calculate a large number of random scenes to obtain the approximate maximum absorption capacity of the power distribution network, and has the disadvantages of low calculation efficiency and long calculation time.
For the random scene simulation method, although there is a description in the literature that the number distribution of the distributed photovoltaic access points is fitted by mirror image erlang probability distribution, random simulation of a larger sample is performed by limited-time sampling to improve the calculation efficiency of the random simulation method. However, the method needs to increase the installation capacity of the distributed photovoltaic one by one through linear increment, and still needs a large amount of load flow calculation when the installation capacity of the distributed photovoltaic is low, which wastes calculation time.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides a method and a device for determining distributed photovoltaic absorption capacity, which can efficiently determine the photovoltaic absorption capacity in different distributed photovoltaic installation scenes.
In order to solve the technical problem, the application provides the following technical scheme:
in a first aspect, the present application provides a method for determining a distributed photovoltaic absorption capacity, including:
determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
aiming at each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
and determining the distributed photovoltaic absorption capacity under each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
Further, the method for determining the distributed photovoltaic absorption capacity further includes:
and determining a typical moment for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
Further, the determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network, wherein the photovoltaic installation scenes comprise photovoltaic installation positions and photovoltaic installation numbers, and comprises the following steps:
determining a node power distribution network topological structure according to the node positions and the node quantity;
determining the photovoltaic installation quantity under the multiple photovoltaic installation scenes according to the node power distribution network topological structure;
and determining photovoltaic installation positions under the multiple photovoltaic installation scenes according to the distributed photovoltaic configuration probability preset by each node and the node power distribution network topological structure.
Further, the method for determining the distributed photovoltaic absorption capacity further includes:
determining installation nodes where distributed photovoltaics are located in the photovoltaic installation scene;
if the installation node is a load node, setting a preset simulation initial value of the distributed photovoltaic as a load peak value;
otherwise, setting the preset simulation initial value of the distributed photovoltaic as the load mean value of the power distribution network.
Further, the determining, for each photovoltaic installation scene, a binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene includes:
determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network node corresponding to the middle point of the preset simulation initial interval;
judging whether binary search is stopped or not according to the maximum nominal voltage of the power distribution network, the maximum voltage of the power distribution network at the intermediate point and a search stop threshold;
if the binary search is not stopped, judging whether the maximum voltage is greater than the maximum nominal voltage;
if so, resetting the preset simulation initial interval according to the starting point and the intermediate point of the preset simulation initial interval, otherwise resetting the preset simulation initial interval according to the intermediate point and the end point of the preset simulation initial interval;
and executing the iteration operation according to the reset preset simulation initial interval, and obtaining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network under the photovoltaic installation scene when the condition of stopping binary search is met.
Further, determining the distributed photovoltaic absorption capacity under the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network includes:
determining the total installation capacity according to the installation capacity of each distributed photovoltaic in the photovoltaic installation scene;
and drawing a scatter diagram of the distributed photovoltaic absorption capacity under the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the nodes.
In a second aspect, the present application provides an apparatus for determining a distributed photovoltaic absorption capacity, including:
the scene determining unit is used for determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
the capacity voltage determining unit is used for performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic for each photovoltaic installation scene to determine the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
and the absorption capacity determining unit is used for determining the distributed photovoltaic absorption capacity in each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
Further, the apparatus for determining the distributed photovoltaic absorption capacity further includes:
and the typical moment determining unit is used for determining the typical moment for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
Further, the scene determining unit, where the photovoltaic installation scene includes a photovoltaic installation position and a photovoltaic installation number, includes:
the topological structure determining module is used for determining a node power distribution network topological structure according to the node positions and the node number;
the installation quantity determining module is used for determining the photovoltaic installation quantity under the multiple photovoltaic installation scenes according to the node power distribution network topological structure;
and the installation position determining module is used for determining the photovoltaic installation positions under the multiple photovoltaic installation scenes according to the distributed photovoltaic configuration probability preset by each node and the node power distribution network topological structure.
Further, the apparatus for determining the distributed photovoltaic absorption capacity further includes:
the installation node determining unit is used for determining installation nodes where distributed photovoltaics are located in the photovoltaic installation scene;
the simulation initial value setting unit is used for setting a preset simulation initial value of the distributed photovoltaic as a load peak value when the installation node is a load node;
the simulation initial value setting unit is further configured to set a preset simulation initial value of the distributed photovoltaic as the load mean value of the power distribution network when the installation node is not a load node.
Further, the capacity voltage determination unit includes:
the capacity voltage determining module is used for determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network node corresponding to the middle point of the preset simulation initial interval;
the judgment stopping module is used for judging whether to stop binary search or not according to the maximum nominal voltage of the power distribution network, the maximum voltage of the power distribution network of the intermediate point and a search stopping threshold value;
the maximum voltage judging module is used for judging whether the maximum voltage is greater than the maximum nominal voltage or not if the binary search is not stopped;
an initial interval resetting module, configured to reset a preset simulation initial interval according to a starting point and an intermediate point of the preset simulation initial interval when the maximum voltage is greater than the maximum nominal voltage, and otherwise reset the preset simulation initial interval according to the intermediate point and an end point of the preset simulation initial interval;
and the iteration operation module is used for executing the iteration operation according to the reset preset simulation initial interval, and obtaining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene when the condition of stopping binary search is met.
Further, the absorption capability determining unit includes:
the total installation capacity determining module is used for determining the total installation capacity according to the installation capacity of each distributed photovoltaic in the photovoltaic installation scene;
and the scatter diagram drawing module is used for drawing a scatter diagram of the distributed photovoltaic absorption capacity under the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the nodes.
In a third aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for determining distributed photovoltaic absorption capacity when executing the program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for determining a distributed photovoltaic absorption capacity.
Aiming at the problems in the prior art, the method and the device for determining the distributed photovoltaic absorption capacity can improve the traditional random scene simulation method of the distributed photovoltaic absorption capacity, quickly approach the distributed photovoltaic maximum absorption capacity meeting the voltage constraint under different photovoltaic installation scenes by utilizing a binary search algorithm, overcome the problem of low calculation efficiency caused by the requirement of linearly increasing the distributed photovoltaic installation capacity in the traditional method, and improve the calculation efficiency of the distributed photovoltaic absorption capacity.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining a distributed photovoltaic absorption capacity in an embodiment of the present application;
FIG. 2 is a flow chart of determining a photovoltaic installation scenario in an embodiment of the present application;
fig. 3 is a second flowchart of a method for determining the distributed photovoltaic absorption capacity in the embodiment of the present application;
FIG. 4 is a flow chart of performing binary search in an embodiment of the present application;
FIG. 5 is a flow chart of determining photovoltaic absorption capacity in an embodiment of the present application;
fig. 6 is one of the structural diagrams of the apparatus for determining the distributed photovoltaic absorption capacity in the embodiment of the present application;
fig. 7 is a structural diagram of a scene determination unit in the embodiment of the present application;
fig. 8 is a second block diagram of the apparatus for determining the photovoltaic absorption capacity of the distributed type according to the embodiment of the present application;
fig. 9 is a structural diagram of a capacity voltage determination unit in the embodiment of the present application;
fig. 10 is a block diagram of a digestion capability determining unit in the embodiment of the present application;
fig. 11 is a schematic structural diagram of an electronic device in an embodiment of the present application;
fig. 12 is an example of a practical system in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In an embodiment, referring to fig. 1, in order to efficiently determine photovoltaic absorption capacity in different distributed photovoltaic installation scenarios, the present application provides a method for determining distributed photovoltaic absorption capacity, including:
s101: determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
it can be understood that, in this application embodiment, the photovoltaic absorption capacity of the distribution network may refer to a maximum photovoltaic installation capacity that the distribution network can accommodate within a range that satisfies voltage safety constraints of each node of the distribution network on the premise that the distribution network is not expanded.
In order to more comprehensively and accurately determine the maximum photovoltaic installation capacity which can be accommodated by the power distribution network, the embodiment of the application firstly determines a plurality of photovoltaic installation scenes, and then calculates the distributed photovoltaic absorption capacity of each photovoltaic installation scene one by one. The photovoltaic installation scene comprises the photovoltaic installation quantity and the photovoltaic installation position. The photovoltaic installation scene can be determined according to the node positions and the node number in the power distribution network.
For example, referring to fig. 2, when a photovoltaic installation scene is determined, a node power distribution network topology structure may be determined according to a node position and a node number (S201); then, determining the photovoltaic installation number under a plurality of photovoltaic installation scenes according to the node distribution network topological structure (S202); and finally, determining photovoltaic installation positions under a plurality of photovoltaic installation scenes according to the distributed photovoltaic configuration probability preset by each node and the node distribution network topological structure (S203).
In particular, a uniformly distributed random algorithm may be utilized to determine the photovoltaic installation number: the positions and the number of nodes of the power distribution network can be obtained from operation and maintenance personnel of the power system, and then the topological structure of the nodes can be generated by utilizing computer software. The number of nodes in the distribution network is NbusAnd generating the distributed photovoltaic installation number N according to the topological structure of the nodes by using a uniform distribution sampling method under the assumption that the probability of the distributed photovoltaic access nodes obeys uniform distribution without considering the condition of the root nodes of the distributed photovoltaic access feeder linepvWherein, 1 is less than or equal to Npv≤Nbus-1。
Similarly, the photovoltaic installation position can be determined: the node position in the distribution grid is represented as
Figure BDA0003198173870000061
Wherein, the subscript is 1 to represent a feeder root node, and the subscript is NbusRepresenting a feeder end node. Assuming equal probability of each node of the distribution network being configured with distributed photovoltaic, N can be randomly sampled from the set W by using a uniform distribution sampling algorithmpvA combination of positions, denoted as
Figure BDA0003198173870000062
It should be noted that the probability of configuring the distributed photovoltaic system for each distribution network node may be different. When the probability of configuring distributed photovoltaic for each distribution network node is different, other sampling algorithms can be utilized to randomly sample and generate N from the set WpvAnd (4) combining positions, wherein the sampling algorithm is not particularly limited in the application.
S102: aiming at each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
s103: and determining the distributed photovoltaic absorption capacity under each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
It can be understood that, in the embodiment of the present application, a set of distributed photovoltaic maximum installation capacities meeting the voltage requirement of the distribution network node can be obtained for each photovoltaic installation scenario. On the basis, the distributed photovoltaic installation capacity is used as an abscissa, the maximum value of the node voltage of the power distribution network is used as an ordinate, and a scatter diagram of the distributed photovoltaic absorption capacity can be drawn. That is, the distributed photovoltaic absorption capacity under each photovoltaic installation scenario in the power distribution network can be determined.
Specifically, referring to fig. 5, the total installation capacity may be determined according to the installation capacity of each distributed photovoltaic in the photovoltaic installation scenario (S501); and then drawing a scatter diagram of the distributed photovoltaic absorption capacity under the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the nodes (S502).
From the above description, the method for determining the distributed photovoltaic absorption capacity provided by the application can improve the traditional random scene simulation method of the distributed photovoltaic absorption capacity, quickly approaches the distributed photovoltaic maximum absorption capacity meeting the voltage constraint under different photovoltaic installation scenes by using a binary search algorithm, overcomes the problem of low calculation efficiency caused by the requirement of linearly increasing the distributed photovoltaic installation capacity in the traditional method, and improves the calculation efficiency of the distributed photovoltaic absorption capacity.
In an embodiment, the method for determining the distributed photovoltaic absorption capacity further includes: and determining the typical moment for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
It can be understood that, considering the fluctuation and randomness of the grid load and the distributed power generation, when calculating the distributed photovoltaic absorption capacity, a typical time for calculating the distributed photovoltaic absorption capacity needs to be determined. In the embodiment of the present application, the typical time refers to the time when the voltage of the power distribution network is most likely to exceed the upper limit. Specifically, the time when the ratio of the distributed photovoltaic power to the load output in the power distribution network is the maximum can be used as a typical time for calculating the distributed photovoltaic absorption capacity, so that preparation is made for subsequent load flow calculation.
From the above description, the method for determining the distributed photovoltaic absorption capacity provided by the application can determine the typical time for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
In an embodiment, referring to fig. 3, the method for determining the distributed photovoltaic absorption capacity further includes:
s301: determining installation nodes where distributed photovoltaics are located in a photovoltaic installation scene;
s302: if the installation node is a load node, setting a preset simulation initial value of the distributed photovoltaic as a load peak value;
s303: otherwise, setting the preset simulation initial value of the distributed photovoltaic as the load mean value of the power distribution network.
It is understood that, in the above steps, the installation position of each distributed photovoltaic is determined, that is, the specific installation position of each distributed photovoltaic on which distribution network node is determined. When a preset simulation initial value of the distributed photovoltaic is set, if the installation node is a load node, setting the preset simulation initial value of the distributed photovoltaic as a load peak value; otherwise, setting the preset simulation initial value of the distributed photovoltaic as the load mean value of the power distribution network.
As can be seen from the above description, the method for determining the absorption capacity of the distributed photovoltaic system provided by the present application can set the preset initial simulation value of each distributed photovoltaic system.
In an embodiment, referring to fig. 4, for each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining a total installation capacity of the distributed photovoltaic and a maximum voltage of the power distribution network in the photovoltaic installation scene includes:
s401: determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network node corresponding to the middle point of a preset simulation initial interval;
s402: judging whether to stop binary search or not according to the maximum nominal voltage of the power distribution network, the maximum voltage of the power distribution network at the intermediate point and a search stop threshold;
s403: if the binary search is not stopped, judging whether the maximum voltage is larger than the maximum nominal voltage;
s4041: if yes, resetting the preset simulation initial interval according to the starting point and the middle point of the preset simulation initial interval;
s4042: otherwise, resetting the preset simulation initial interval according to the intermediate point and the end point of the preset simulation initial interval;
s405: and executing the iteration operation according to the reset preset simulation initial interval, and obtaining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene when the condition of stopping binary search is met.
It is understood that the following steps are illustrated with respect to the mth photovoltaic installation scenario as an example. Setting the initial simulation value of the distributed photovoltaic installation capacity in the installation scene as
Figure BDA0003198173870000081
Wherein the content of the first and second substances,
Figure BDA0003198173870000082
the simulation initial value of the ith distributed photovoltaic installation capacity in the mth simulation scene is obtained. The initial simulation value can be determined according to the method described in steps S301 to S303.
Determining search interval of binary search
Setting the simulation initial interval of the distributed photovoltaic installation capacity as [ a ]k,bk]. Wherein, akSearch for the starting point of the distributed photovoltaic installation capacity interval for the kth iteration, bkAnd searching the terminal point of the distributed photovoltaic installation capacity interval for the kth iteration. In the 1 st search, a may be set1For the sum of simulated initial values of the installation capacity of each distributed photovoltaic system, i.e.
Figure BDA0003198173870000083
b1Can be set as the thermal stability limit of the distribution feeder. Simultaneously selecting a probing point as a middle point c of the intervalk＝0.5(ak+bk)。
Calculating the maximum voltage of the power distribution network node at the starting point of the search interval
When the total installation capacity of the distributed photovoltaic is the starting point of the search interval, namely akThe installation capacity simulation value of the distributed photovoltaic i is
Figure BDA0003198173870000091
Substituting each distributed photovoltaic installation capacity simulation value into power distribution network load flow calculation software, and calculating the maximum voltage of a power distribution network node according to the determined typical moment for calculating the distributed photovoltaic absorption capacity
Figure BDA0003198173870000092
Calculating the maximum voltage of the nodes of the power distribution network at the end point of the search interval
When the total installation capacity of the distributed photovoltaic is the end point of the search interval, namely bkThe installation capacity simulation value of the distributed photovoltaic i is
Figure BDA0003198173870000093
Substituting each distributed photovoltaic installation capacity simulation value into power distribution network load flow calculation software, and calculating to obtain the maximum voltage of a power distribution network node according to the determined typical moment for calculating the distributed photovoltaic absorption capacity
Figure BDA0003198173870000094
Fourthly, calculating the maximum voltage of the nodes of the power distribution network at the midpoint of the search interval
When the total installation capacity of the distributed photovoltaic is the midpoint of the search interval, namely ckThe installation capacity simulation value of the distributed photovoltaic i is
Figure BDA0003198173870000095
Substituting each distributed photovoltaic installation capacity simulation value into distribution network tidal current meterCalculating software, calculating according to the typical moment determined before to calculate the distributed photovoltaic absorption capacity to obtain the maximum voltage of the power distribution network node
Figure BDA0003198173870000096
Judging whether binary search iterative computation is terminated under the photovoltaic installation scene
If it is
Figure BDA0003198173870000097
The iteration terminates, at which point ckNamely the maximum installation capacity of the distributed photovoltaic under the corresponding scene. Wherein epsilon is a threshold value for iteration termination; v. ofupThe maximum voltage allowed by the distribution network under safe conditions, or the maximum nominal voltage.
Otherwise, there are 2 cases:
(1) when in use
Figure BDA0003198173870000101
And is
Figure BDA0003198173870000102
Then, it is known
Figure BDA0003198173870000103
The next iteration is ordered to be the initial value bk+1＝ck，ak+1＝ak，ck+1＝0.5(ak+1+bk+1). Wherein the content of the first and second substances,
Figure BDA0003198173870000104
the maximum installation capacity of the distributed photovoltaic meeting the node voltage requirement of the power distribution network in the mth simulation scene.
(2) When in use
Figure BDA0003198173870000105
And is
Figure BDA0003198173870000106
Then, it is known
Figure BDA0003198173870000107
The next iteration is started to obtain the initial value ak+1＝ck，bk+1＝bk，ck+1＝0.5(ak+1+bk+1). Wherein the content of the first and second substances,
Figure BDA0003198173870000108
the maximum installation capacity of the distributed photovoltaic meeting the node voltage requirement of the power distribution network in the mth simulation scene.
After the distributed photovoltaic maximum installation capacity calculation under the mth photovoltaic installation scene is completed, distributed photovoltaic maximum installation capacity calculation aiming at other photovoltaic installation scenes can be continuously carried out until the number of the photovoltaic installation scenes reaches a preset value.
It should be noted that, in the process of calculating the maximum installation capacity of the distributed photovoltaic system, the maximum voltage of the distribution network node at the midpoint in the search interval is calculated
Figure BDA0003198173870000109
The maximum voltage of the distribution network node can be obtained when the maximum installation capacity of the distributed photovoltaic is reached in the mth photovoltaic installation scene.
From the above description, the method for determining the distributed photovoltaic absorption capacity provided by the application can perform binary search according to the preset simulation initial interval and the preset simulation initial value of the distributed photovoltaic for each photovoltaic installation scene, and determine the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene.
To better illustrate how the method provided by the present application can be used to determine the absorption capacity of distributed photovoltaics, an example is presented below.
Fig. 12 shows a distributed photovoltaic absorption capacity scattergram obtained by performing simulation analysis on a distribution network in a certain city by using the method of the present application. The reference voltage of the power distribution network is 10kV, the reference power is 100MVA, the power distribution network comprises 21 nodes in total, wherein the node 1 is a balance node, and the voltage is set to be 1.05 p.u.. The load nodes are nodes 11-21, the feeder model is LGJ-150/20, the load nodes are all urban resident loads, and the daily load peak value of the feeder is 1.2025 MW. The sampling times of the random scene simulation method are 1000 times, and 1000 photovoltaic installation scenes are generated in the simulation process. The incremental step size of the distributed photovoltaic capacity is set to be 10%, the load active power is set according to a typical moment, the reactive power is set to be 50% of the active power, and the thermal stability limit of a feeder line is 7.27 MW.
The random scene simulation method and the method provided by the application are respectively adopted for calculation, and the calculation results are shown in table 1.
TABLE 1 comparison of simulation efficiencies
Figure BDA0003198173870000111
From the above table, the calculation efficiency of the stochastic scene simulation method can be greatly improved, the load flow calculation times required by 1000 times of sampling of the traditional stochastic scene simulation method are 12000 times, the calculation time is 2031 seconds, and the method provided by the application can be optimized to the maximum installation capacity of the distributed photovoltaic corresponding to the upper limit of the voltage safety only by calculating 7.692 times in average each sampling, so that the calculation efficiency is improved by about 93.6%.
Based on the same inventive concept, the embodiment of the present application further provides a device for determining a distributed photovoltaic absorption capability, which can be used to implement the method described in the foregoing embodiment, as described in the following embodiment. Because the principle of solving the problems of the determining device for the distributed photovoltaic absorption capacity is similar to that of the determining method for the distributed photovoltaic absorption capacity, the implementation of the determining device for the distributed photovoltaic absorption capacity can refer to the implementation of the determining method based on the software performance standard, and repeated details are omitted. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
In an embodiment, referring to fig. 6, in order to efficiently determine photovoltaic absorption capacity under different distributed photovoltaic installation scenarios, the present application provides a device for determining distributed photovoltaic absorption capacity, including: a scene determination unit 601, a capacity voltage determination unit 602, and a receptivity determination unit 603.
A scene determining unit 601, configured to determine multiple photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node numbers in the power distribution network;
a capacity voltage determining unit 602, configured to perform binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic for each photovoltaic installation scene, and determine a total installation capacity of the distributed photovoltaic and a maximum voltage of the power distribution network in the photovoltaic installation scene;
and a consumption capability determining unit 603, configured to determine, for each photovoltaic installation scenario, a distributed photovoltaic consumption capability in the photovoltaic installation scenario according to the total installation capacity and the maximum voltage of the power distribution network.
In an embodiment, the apparatus for determining a distributed photovoltaic absorption capacity further includes:
and the typical moment determining unit is used for determining the typical moment for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
In an embodiment, referring to fig. 7, the scenario determination unit 601, where the photovoltaic installation scenario includes photovoltaic installation locations and photovoltaic installation numbers, includes: a topology determining module 701, an installation number determining module 702, and an installation position determining module 703.
A topology determining module 701, configured to determine a node power distribution network topology according to the node positions and the number of nodes;
an installation number determining module 702, configured to determine, according to the node distribution network topology structure, the photovoltaic installation number in the multiple photovoltaic installation scenarios;
the installation position determining module 703 is configured to determine photovoltaic installation positions in the multiple photovoltaic installation scenes according to the distributed photovoltaic configuration probability preset for each node and the node power distribution network topology structure.
In an embodiment, referring to fig. 8, the apparatus for determining a distributed photovoltaic absorption capacity further includes: an installation node determination unit 801 and a simulation initial value setting unit 802.
An installation node determining unit 801, configured to determine installation nodes where distributed photovoltaics in the photovoltaic installation scene are located;
a simulation initial value setting unit 802, configured to set a preset simulation initial value of the distributed photovoltaic as a load peak value when the installation node is a load node;
the simulation initial value setting unit 802 is further configured to set a preset simulation initial value of the distributed photovoltaic as a load mean value of the power distribution network when the installation node is not a load node.
In an embodiment, referring to fig. 9, the capacity voltage determining unit 602 includes:
a capacity voltage determining module 901, configured to determine a total installation capacity of the distributed photovoltaic and a maximum voltage of a power distribution network node corresponding to a middle point of the preset simulation initial interval;
a stopping judgment module 902, configured to judge whether to stop binary search according to the maximum nominal voltage of the power distribution network, the maximum voltage of the power distribution network at the intermediate point, and a search stopping threshold;
a maximum voltage determining module 903, configured to determine whether the maximum voltage is greater than the maximum nominal voltage if binary search is not stopped;
an initial interval resetting module 904, configured to reset a preset simulation initial interval according to a starting point and the middle point of the preset simulation initial interval when the maximum voltage is greater than the maximum nominal voltage, or reset the preset simulation initial interval according to the middle point and an end point of the preset simulation initial interval;
the iteration operation module 905 is configured to perform the above iteration operation according to the reset preset simulation initial interval, and obtain the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene when the condition of stopping binary search is satisfied.
In an embodiment, referring to fig. 10, the absorption capability determining unit 603 includes: a total installation capacity determination module 1001 and a scatter diagram drawing module 1002.
A total installation capacity determination module 1001 configured to determine the total installation capacity according to the installation capacity of each distributed photovoltaic in the photovoltaic installation scene;
and a scatter diagram drawing module 1002, configured to draw a scatter diagram of distributed photovoltaic absorption capacity in the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the node.
In terms of hardware, in order to efficiently determine photovoltaic absorption capacity under different distributed photovoltaic installation scenarios, the present application provides an embodiment of an electronic device for implementing all or part of the content in the method for determining distributed photovoltaic absorption capacity, where the electronic device specifically includes the following content:
a Processor (Processor), a Memory (Memory), a communication Interface (Communications Interface) and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between the determining device of the distributed photovoltaic absorption capacity and relevant equipment such as a core service system, a user terminal, a relevant database and the like; the logic controller may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the logic controller may be implemented with reference to the embodiment of the method for determining a distributed photovoltaic absorption capability and the embodiment of the apparatus for determining a distributed photovoltaic absorption capability in the embodiments, which are incorporated herein, and repeated details are not repeated.
It is understood that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), an in-vehicle device, a smart wearable device, and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..
In practical applications, part of the method for determining the distributed photovoltaic absorption capacity may be performed on the electronic device side as described above, or all operations may be performed in the client device. The selection may be specifically performed according to the processing capability of the client device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. The client device may further include a processor if all operations are performed in the client device.
The client device may have a communication module (i.e., a communication unit), and may be in communication connection with a remote server to implement data transmission with the server. The server may include a server on the side of the task scheduling center, and in other implementation scenarios, the server may also include a server on an intermediate platform, for example, a server on a third-party server platform that is communicatively linked to the task scheduling center server. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed apparatus.
Fig. 11 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 11, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this FIG. 11 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.
In an embodiment, the method function of determining distributed photovoltaic absorption capacity may be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows:
s101: determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
s102: aiming at each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
s103: and determining the distributed photovoltaic absorption capacity under each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
From the above description, the method for determining the distributed photovoltaic absorption capacity provided by the application can improve the traditional random scene simulation method of the distributed photovoltaic absorption capacity, quickly approaches the distributed photovoltaic maximum absorption capacity meeting the voltage constraint under different photovoltaic installation scenes by using a binary search algorithm, overcomes the problem of low calculation efficiency caused by the requirement of linearly increasing the distributed photovoltaic installation capacity in the traditional method, and improves the calculation efficiency of the distributed photovoltaic absorption capacity.
In another embodiment, the device for determining the distributed photovoltaic absorption capacity may be configured separately from the central processing unit 9100, for example, the device for determining the distributed photovoltaic absorption capacity of the data composite transmission device may be configured as a chip connected to the central processing unit 9100, and the function of the method for determining the distributed photovoltaic absorption capacity is implemented by the control of the central processing unit.
As shown in fig. 11, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 11; in addition, the electronic device 9600 may further include components not shown in fig. 11, which may be referred to in the prior art.
As shown in fig. 11, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.
The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.
The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.
The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless lan module, may be disposed in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.
Embodiments of the present application further provide a computer-readable storage medium capable of implementing all steps in the method for determining distributed photovoltaic absorption capability of a server or a client as an execution subject in the foregoing embodiments, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all steps of the method for determining distributed photovoltaic absorption capability of a server or a client as an execution subject in the foregoing embodiments, for example, when the processor executes the computer program, the processor implements the following steps:
s101: determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
s102: aiming at each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
s103: and determining the distributed photovoltaic absorption capacity under each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
From the above description, the method for determining the distributed photovoltaic absorption capacity provided by the application can improve the traditional random scene simulation method of the distributed photovoltaic absorption capacity, quickly approaches the distributed photovoltaic maximum absorption capacity meeting the voltage constraint under different photovoltaic installation scenes by using a binary search algorithm, overcomes the problem of low calculation efficiency caused by the requirement of linearly increasing the distributed photovoltaic installation capacity in the traditional method, and improves the calculation efficiency of the distributed photovoltaic absorption capacity.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (14)

1. A method for determining distributed photovoltaic absorption capacity is characterized by comprising the following steps:
determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
aiming at each photovoltaic installation scene, performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic, and determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
and determining the distributed photovoltaic absorption capacity under each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
2. The method for determining distributed photovoltaic absorption capacity according to claim 1, further comprising:
and determining a typical moment for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
3. The method for determining distributed photovoltaic absorption capacity according to claim 1, wherein the determining a plurality of photovoltaic installation scenarios of the distributed photovoltaic according to the node positions and the node numbers in the power distribution network, the photovoltaic installation scenarios including photovoltaic installation positions and photovoltaic installation numbers comprises:
determining a power distribution network topological structure according to the node positions and the node quantity;
determining the photovoltaic installation quantity under the multiple photovoltaic installation scenes according to the topological structure of the power distribution network;
and determining photovoltaic installation positions under the multiple photovoltaic installation scenes according to the distributed photovoltaic configuration probability preset by each node and the distribution network topological structure.
4. The method for determining distributed photovoltaic absorption capacity according to claim 1, further comprising:
determining installation nodes where distributed photovoltaics are located in the photovoltaic installation scene;
if the installation node is a load node, setting a preset simulation initial value of the distributed photovoltaic as a load peak value;
otherwise, setting the preset simulation initial value of the distributed photovoltaic as the load mean value of the power distribution network.
5. The method for determining the distributed photovoltaic absorption capacity according to claim 1, wherein the step of performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic for each photovoltaic installation scene to determine the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene comprises:
determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network node corresponding to the middle point of the preset simulation initial interval;
judging whether binary search is stopped or not according to the maximum nominal voltage of the power distribution network, the maximum voltage of the power distribution network at the intermediate point and a search stop threshold;
if the binary search is not stopped, judging whether the maximum voltage is greater than the maximum nominal voltage;
if so, resetting the preset simulation initial interval according to the starting point and the intermediate point of the preset simulation initial interval, otherwise resetting the preset simulation initial interval according to the intermediate point and the end point of the preset simulation initial interval;
and executing the iteration operation according to the reset preset simulation initial interval, and obtaining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network under the photovoltaic installation scene when the condition of stopping binary search is met.
6. The method for determining distributed photovoltaic absorption capacity according to claim 1, wherein the determining the distributed photovoltaic absorption capacity in the photovoltaic installation scenario according to the total installation capacity and the maximum voltage of the power distribution network comprises:
determining the total installation capacity according to the installation capacity of each distributed photovoltaic in the photovoltaic installation scene;
and drawing a scatter diagram of the distributed photovoltaic absorption capacity in the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the node network.
7. An apparatus for determining a distributed photovoltaic absorption capacity, comprising:
the scene determining unit is used for determining a plurality of photovoltaic installation scenes of the distributed photovoltaic according to the node positions and the node number in the power distribution network;
the capacity voltage determining unit is used for performing binary search according to a preset simulation initial interval and a preset simulation initial value of the distributed photovoltaic for each photovoltaic installation scene to determine the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene;
and the absorption capacity determining unit is used for determining the distributed photovoltaic absorption capacity in each photovoltaic installation scene according to the total installation capacity and the maximum voltage of the power distribution network.
8. The apparatus for determining distributed photovoltaic absorption capacity according to claim 7, further comprising:
and the typical moment determining unit is used for determining the typical moment for calculating the distributed photovoltaic absorption capacity according to the ratio of the distributed photovoltaic to the load output in the power distribution network.
9. The apparatus for determining distributed photovoltaic absorption capacity according to claim 7, wherein the scene determination unit, the photovoltaic installation scene including a photovoltaic installation location and a photovoltaic installation number, comprises:
the topological structure determining module is used for determining a node power distribution network topological structure according to the node positions and the node number;
the installation quantity determining module is used for determining the photovoltaic installation quantity under the multiple photovoltaic installation scenes according to the node power distribution network topological structure;
and the installation position determining module is used for determining the photovoltaic installation positions under the multiple photovoltaic installation scenes according to the distributed photovoltaic configuration probability preset by each node and the node power distribution network topological structure.
10. The apparatus for determining distributed photovoltaic absorption capacity according to claim 7, further comprising:
the installation node determining unit is used for determining installation nodes where distributed photovoltaics are located in the photovoltaic installation scene;
the simulation initial value setting unit is used for setting a preset simulation initial value of the distributed photovoltaic as a load peak value when the installation node is a load node;
the simulation initial value setting unit is further configured to set a preset simulation initial value of the distributed photovoltaic as the load mean value of the power distribution network when the installation node is not a load node.
11. The apparatus for determining distributed photovoltaic absorption capacity according to claim 7, wherein the capacity-voltage determining unit comprises:
the capacity voltage determining module is used for determining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network node corresponding to the middle point of the preset simulation initial interval;
the judgment stopping module is used for judging whether to stop binary search or not according to the maximum nominal voltage of the power distribution network, the maximum voltage of the power distribution network of the intermediate point and a search stopping threshold value;
the maximum voltage judging module is used for judging whether the maximum voltage is greater than the maximum nominal voltage or not if the binary search is not stopped;
an initial interval resetting module, configured to reset a preset simulation initial interval according to a starting point and an intermediate point of the preset simulation initial interval when the maximum voltage is greater than the maximum nominal voltage, and otherwise reset the preset simulation initial interval according to the intermediate point and an end point of the preset simulation initial interval;
and the iteration operation module is used for executing the iteration operation according to the reset preset simulation initial interval, and obtaining the total installation capacity of the distributed photovoltaic and the maximum voltage of the power distribution network in the photovoltaic installation scene when the condition of stopping binary search is met.
12. The apparatus for determining distributed photovoltaic absorption capacity according to claim 7, wherein the absorption capacity determining unit comprises:
the total installation capacity determining module is used for determining the total installation capacity according to the installation capacity of each distributed photovoltaic in the photovoltaic installation scene;
and the scatter diagram drawing module is used for drawing a scatter diagram of the distributed photovoltaic absorption capacity under the photovoltaic installation scene according to the total installation capacity and the maximum voltage of the nodes.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for determining distributed photovoltaic absorption capacity of any of claims 1 to 6 when executing the program.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for determining distributed photovoltaic absorptive capacity of any one of claims 1 to 6.
CN202110896771.3A 2021-08-05 2021-08-05 Method and device for determining distributed photovoltaic absorption capacity Pending CN113922411A (en)

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