CN111310954A - Photovoltaic power generation capacity prediction method and device, storage medium and electronic equipment - Google Patents
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Abstract
The invention relates to the technical field of photovoltaic module installation, and provides a photovoltaic power generation amount prediction method and device, a storage medium and electronic equipment. The prediction method comprises the following steps: acquiring component information and installation information of a photovoltaic component of a power station, wherein the component information of the photovoltaic component comprises nominal power of the photovoltaic component, length and width of the photovoltaic component, and the installation information of the photovoltaic component comprises installation area, installation place and installation inclination angle of the photovoltaic component; calculating the power density of the photovoltaic module according to the module information and the installation information; obtaining corresponding inclined plane irradiation hours according to the installation place and the installation inclination angle of the photovoltaic module; and calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module. The photovoltaic power generation amount prediction method can accurately predict the photovoltaic power generation amount of the power station.
Description
Technical Field
The invention relates to the technical field of photovoltaic module installation, in particular to a photovoltaic power generation amount prediction method and device, a storage medium and electronic equipment.
Background
A photovoltaic module is a device that can convert light energy into electrical energy. With the increasing emphasis on clean energy, the photovoltaic industry as a low-carbon and renewable energy is developing vigorously worldwide, and the installation amount of photovoltaic power stations in various countries increases year by year.
When a photovoltaic power plant is pre-established, it is necessary to predict the power generation amount of the photovoltaic power plant first, and in the related art, it is general to perform rough estimation of the power generation amount of the pre-established photovoltaic power plant with reference to the power generation amount of existing photovoltaic power plants around an installation site.
However, the prediction method in the related art cannot accurately predict the power generation amount of the photovoltaic power station, and the error is large.
It is to be noted that the information invented in the above background section is only for enhancing the understanding of the background of the present invention, and therefore, may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide a photovoltaic power generation amount prediction method and device, a storage medium and electronic equipment. The photovoltaic power generation amount prediction method can accurately predict the photovoltaic power generation amount.
Additional features and advantages of the invention will be set forth in the detailed description which follows, or may be learned by practice of the invention.
According to an aspect of the present invention, there is provided a photovoltaic power generation amount prediction method including:
acquiring component information and installation information of a photovoltaic component of a power station, wherein the component information of the photovoltaic component comprises nominal power of the photovoltaic component, length and width of the photovoltaic component, and the installation information of the photovoltaic component comprises installation area, installation place and installation inclination angle of the photovoltaic component;
calculating the power density of the photovoltaic module according to the module information and the installation information;
obtaining corresponding inclined plane irradiation hours according to the installation place and the installation inclination angle of the photovoltaic module;
and calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module.
In an exemplary embodiment of the invention, the method further comprises:
obtaining a latitude of the installation site through the installation site of the photovoltaic module, an
Acquiring the width of an overhaul channel;
the calculating the power density of the photovoltaic module according to the module information and the installation information comprises:
calculating a preset installation interval of the photovoltaic module according to the length of the photovoltaic module, the installation inclination angle of the photovoltaic module and the latitude of the installation place;
calculating the installation number of the photovoltaic modules in unit area according to the preset installation interval, the width of the overhaul channel, the length and the width of the photovoltaic modules and the installation inclination angle;
and calculating the power density of the photovoltaic modules according to the installation number of the photovoltaic modules in the unit area and the nominal power of the photovoltaic modules.
In an exemplary embodiment of the present invention, the calculating a preset installation interval of the photovoltaic module according to the length of the photovoltaic module, the installation inclination angle of the photovoltaic module, and the latitude of the installation place includes:
using formulas
Calculating the preset installation interval of the photovoltaic module, wherein D is the photovoltaic moduleL is the length of the photovoltaic module, β is the installation inclination angle of the photovoltaic module, and gamma is the latitude of the installation place of the photovoltaic module.
In an exemplary embodiment of the present invention, the calculating the number of the photovoltaic modules installed in a unit area according to the preset installation interval, the width of the access passage, the length, the width and the installation inclination angle of the photovoltaic modules includes:
using formulas
And calculating the corresponding installation number of the photovoltaic modules in unit area, wherein n is the installation number of the photovoltaic modules in unit area, l is the length of the photovoltaic modules, D is the width of the photovoltaic modules, β is the installation inclination angle of the photovoltaic modules, s is the width of the maintenance channel, and D is the preset installation interval of the photovoltaic modules.
In an exemplary embodiment of the invention, the method further comprises: acquiring the system efficiency of the power station;
the calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module of the power station comprises the following steps:
calculating the photovoltaic power generation amount of the power station by using a formula W (S P GK) η, wherein W is the photovoltaic power generation amount of the power station, S is the installation area of the photovoltaic module, P is the power density, GK is the inclined plane irradiation time number of the installation site, and η is the system efficiency of the power station.
In an exemplary embodiment of the present invention, the acquiring component information of a photovoltaic component of a power station includes:
acquiring the component information of the photovoltaic component according to the product model of the photovoltaic component by inquiring a preset product information base, wherein the product information base comprises the product model, the nominal power of the photovoltaic component and the mapping of the length and the width of the photovoltaic component.
In an exemplary embodiment of the invention, the method further comprises: and presetting the product information base.
In an exemplary embodiment of the present invention, the obtaining of the number of hours of irradiation of the inclined plane of the installation site according to the installation site and the installation inclination angle of the photovoltaic module includes:
and acquiring the inclined plane irradiation time corresponding to the installation place and the installation inclination angle according to the installation place and the installation inclination angle by inquiring a preset irradiation time information base, wherein the irradiation time information base comprises the mapping of the installation place, the installation inclination angle and the inclined plane irradiation time.
In an exemplary embodiment of the invention, the method further comprises: and presetting the irradiation time information base.
In an exemplary embodiment of the invention, the obtaining the latitude of the installation site by the installation site of the photovoltaic module includes:
and acquiring the latitude of the installation place according to the installation place by inquiring a preset latitude information base. The latitude information base comprises the latitude of the installation site and the latitude corresponding to the installation site.
In an exemplary embodiment of the invention, the method further comprises: and presetting the latitude information base.
In an exemplary embodiment of the present invention, the calculating the power density of the photovoltaic module according to the module information and the installation information includes:
and acquiring the power density of the photovoltaic module according to the module information and the installation information by inquiring a preset power density information base. The power density of the photovoltaic module includes a mapping of the module information and the installation information of the photovoltaic module to the power density of the photovoltaic module.
According to an aspect of the present invention, there is provided a photovoltaic power generation amount prediction apparatus including: the device comprises an acquisition unit, a first processing unit, a second processing unit and a third processing unit. The acquisition unit is used for acquiring component information and installation information of a photovoltaic component of a power station, wherein the component information of the photovoltaic component comprises nominal power of the photovoltaic component, length and width of the photovoltaic component, and the installation information of the photovoltaic component comprises installation area, installation place and installation inclination angle of the photovoltaic component. The first processing unit is used for calculating the power density of the photovoltaic module according to the module information and the installation information. And the second processing unit is used for obtaining inclined plane irradiation hours corresponding to the installation place and the installation inclination angle according to the installation place and the installation inclination angle of the photovoltaic module. And the third processing unit is used for calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module of the power station.
According to an aspect of the present invention, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements any of the above-described photovoltaic power generation amount prediction methods.
According to an aspect of the present invention, there is provided an electronic apparatus including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform any of the photovoltaic power generation amount prediction methods described above via execution of the executable instructions.
The disclosure provides a photovoltaic power generation amount prediction method and device, a storage medium and an electronic device. The photovoltaic power generation capacity prediction method comprises the steps of firstly obtaining nominal power of a photovoltaic module, length and width of the photovoltaic module, and installation location and installation inclination angle of the photovoltaic module. Wherein, the installation place is determined, the latitude of the installation place and the solar radiation condition can be determined, so the inclined plane irradiation time number at the installation place and the installation inclination angle can be obtained through the installation place and the installation inclination angle. Then, under the condition that the length and the width of the photovoltaic module and the installation inclination angle of the photovoltaic module are known, the power density of the photovoltaic module can be calculated according to the nominal power of the photovoltaic module and the latitude of an installation place. And finally, calculating the total power generation of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module of the power station. The photovoltaic power generation capacity prediction method can accurately predict the total power generation capacity, and is simple and convenient to apply.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a flow chart of an exemplary embodiment of a photovoltaic power generation capacity prediction method of the present disclosure;
FIG. 2 is a schematic view of an installation structure of a photovoltaic module, wherein the arrow direction is the illumination direction;
FIG. 3 is a schematic view of an installation structure of a photovoltaic module, wherein the arrow direction is the illumination direction;
fig. 4 is a schematic diagram illustrating a calculation principle of a photovoltaic power generation amount prediction method according to some embodiments of the present disclosure;
fig. 5 is a functional block diagram of an exemplary embodiment of a photovoltaic power generation amount prediction apparatus according to the present disclosure;
fig. 6 is a block diagram schematically illustrating an electronic device provided by some exemplary embodiments of the present disclosure;
fig. 7 is a schematic diagram of a program product provided in some exemplary embodiments of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the embodiments of the disclosure can be practiced without one or more of the specific details, or with other methods, components, materials, devices, steps, and so forth. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in the form of software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
Additional features and advantages of the invention will be set forth in the detailed description which follows, or may be learned by practice of the invention.
Example 1
As shown in fig. 1, the present exemplary embodiment first provides a photovoltaic power generation amount prediction method including:
step S1: acquiring component information and installation information of a photovoltaic component of a power station, wherein the component information of the photovoltaic component comprises nominal power of the photovoltaic component, length and width of the photovoltaic component, and the installation information of the photovoltaic component comprises installation area, installation place and installation inclination angle of the photovoltaic component;
step S2: calculating the power density of the photovoltaic module according to the module information and the installation information;
step S3: obtaining corresponding inclined plane irradiation hours according to the installation place and the installation inclination angle of the photovoltaic module, and obtaining the installation place and the inclined plane irradiation hours under the installation inclination angle according to the installation place and the installation inclination angle of the photovoltaic module in the step;
step S4: and calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module.
Nominal power refers to the generated power of an individual photovoltaic module measured under standard test conditions, which generally include: 1. irradiance: 1000W/m22, temperature: is (25)&Plusmn; 1) DEG C, 3, spectral characteristics: AM1.5 standard spectrum.
The inclined plane irradiation time is the standard irradiation intensity (1000W/m) converted from the sunshine radiation in long time at the preset installation place and the preset installation inclination angle2) Corresponding time, wherein the long time may be one month, one quarter, one year, etc. The inclined plane irradiation time is a unit for describing and measuring solar radiation, and photovoltaic modules at different installation positions and different installation inclination angles have different inclined plane irradiation time.
The power density refers to the generated power of the photovoltaic module per unit area. The installation inclination angle refers to an included angle between a light receiving surface of the photovoltaic module and a horizontal plane when the photovoltaic module is installed; the installation area refers to the total area occupied by installing the photovoltaic module; the photovoltaic power generation amount of the power station refers to the power generation amount of the power station, and generally refers to the annual average power generation amount. When the photovoltaic power generation capacity of the power station is the annual average power generation capacity, the inclined plane irradiation time is converted into the standard irradiation intensity (1000W/m) by the sunlight irradiation quantity accumulated in one year2) The corresponding time.
The photovoltaic module may be, for example, a silicon-based solar cell module, a nanocrystalline solar cell, a multi-compound solar cell module, or the like. In the present exemplary embodiment, the type of the photovoltaic module in the power plant is not limited to one. For example, in some embodiments, the photovoltaic modules in a power plant are the same product. In some embodiments, the photovoltaic modules in the power plant include two products of the same type but different sizes. In other embodiments, the photovoltaic modules in the power plant comprise two photovoltaic module products that differ in both type and size. In some embodiments, there are multiple types of products, and the corresponding power generation amount can be estimated according to the total installation area of the same type of product, and then the corresponding power generation amounts of all types of products are added to obtain the total photovoltaic power generation amount of the power station.
The disclosed embodiment provides a photovoltaic power generation amount prediction method, in which step S1 obtains a nominal power of a photovoltaic module, a length and a width of the photovoltaic module, for example, by accessing a product information database built in a system, and obtains an installation location and an installation inclination angle of the photovoltaic module, for example, by receiving a user input. Wherein, the latitude of the installation place can be obtained through the installation place, and the inclined plane irradiation time number under the installation place and the installation inclination angle can also be obtained through the installation place and the installation inclination angle. Then, the power density of the photovoltaic module can be calculated according to the nominal power of the photovoltaic module, the length and the width of the photovoltaic module, the installation inclination angle of the photovoltaic module and the latitude of the installation place. Finally, the photovoltaic power generation amount of the power station can be calculated according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module. The photovoltaic power generation amount prediction method can more accurately predict the photovoltaic power generation amount; and the method is simple and convenient to apply.
Each of the above steps is described below with reference to some examples:
step S1: acquiring the assembly information and the installation information of the photovoltaic assembly of the power station.
In some embodiments, in step S1, the module information of the photovoltaic module is obtained according to the model of the photovoltaic module by querying a preset product information base. Wherein the product information base may include a product model and a nominal power of the photovoltaic module corresponding to the product model, and a length and a width of the photovoltaic module. The product information base may be preset. The product information base stores photovoltaic module information of a large number of photovoltaic modules. The product information base can also be obtained by accessing the database of the manufacturer on line. When the component information of the photovoltaic component is acquired, the component information can be acquired only by inquiring the product model or the product number of the photovoltaic component in the product information base. The component information includes, but is not limited to, the nominal power of the photovoltaic component, the length and width of the photovoltaic component. If the component is not a regular rectangle, the shape of the photovoltaic component can be further included, and other parameters required by the shape of the component in subsequent calculation can be included.
In some embodiments, the prediction method further comprises presetting a product information base.
In step S1, the installation information of the photovoltaic module includes an installation area, an installation location, and an installation inclination angle of the photovoltaic module. The installation area, installation place, and installation inclination angle of the photovoltaic module can be obtained by receiving user input. Installation sites such as power plants are expected to be installed in yili, xinjiang, china. The installation area and the installation inclination angle of the photovoltaic module are variable quantities in designing the power station, and can be obtained by obtaining the design values of a designer. For example, may be obtained in a manner that receives user input.
It should be noted that there is an optimum installation inclination angle for each fixed installation site, at which the photovoltaic module can achieve the optimum generated power. Therefore, a mapping table of the installation place and the optimal installation inclination angle can be preset, after the installation place of the photovoltaic module is received, the system background obtains the optimal installation inclination angle by inquiring the mapping table, then the optimal installation inclination angle is recommended to a user, and the actual installation inclination angle is finally determined by the user. In some embodiments, an optimal installation inclination angle of an installation site is obtained according to the installation site, the optimal installation inclination angle is taken as an installation inclination angle, and the final result output shows that the result is obtained according to the optimal installation inclination angle of the installation site.
In some embodiments, the component information and installation information of the photovoltaic component are automatically obtained by performing data analysis and keyword screening in a power plant design. Further, the user may finally confirm the information after the information is automatically acquired.
Step S2: and calculating the power density of the photovoltaic module according to the module information and the installation information.
The solar radiation condition of the installation place and the installation inclination angle can be obtained through the installation place and the installation inclination angle of the photovoltaic module, for example, the inclined surface irradiation time of the installation place and the installation inclination angle. And according to the nominal power and the solar radiation condition (such as the installation place and the inclined plane irradiation time of the installation inclination angle) in the component information, the power per unit area, namely the power density of the photovoltaic component can be obtained by combining the length, the width and the installation inclination angle of the photovoltaic component. The specific implementation manner of step S2 is not limited.
In some exemplary embodiments, the effect of the manway width on the area prediction is considered. The method of this example embodiment may further comprise: acquiring the width of an overhaul channel; and obtaining the latitude of the installation site through the installation site of the photovoltaic module. Step S2 may include: calculating a preset installation interval of the photovoltaic module according to the length of the photovoltaic module, the installation inclination angle of the photovoltaic module and the latitude of the installation place; calculating the installation number of the photovoltaic modules in unit area according to the preset installation interval, the width of the overhaul channel, the length and the width of the photovoltaic modules and the installation inclination angle; and calculating the power density of the photovoltaic modules according to the installation number of the photovoltaic modules in the unit area and the nominal power of the photovoltaic modules.
In some embodiments, the latitude of the installation site may be implemented as follows: and inquiring a preset installation place latitude information base, and obtaining the latitude of the installation place according to the obtained installation place. The installation place latitude information base comprises a mapping table of installation places and latitudes, and the installation places can comprise information of continents, countries, cities and the like. Of course, the installation location can also be directly embodied in the form of longitude and latitude, and in this case, the latitude does not need to be obtained by inquiring the installation location information base.
The installation latitude information base can be directly built in the system; it may also be arranged in the server, and when necessary (for example, when proceeding to this step or before), the server is accessed through the internet to inquire the latitude corresponding to the installation site. It should be understood that in other exemplary embodiments, obtaining the latitude of the installation site through the installation site of the photovoltaic module may be achieved in more ways, such as by accessing a particular website or database, or by performing a big data analysis directly through the internet. In some embodiments, the prediction method further comprises: and presetting an installation latitude information base.
The predetermined installation spacing is generally a minimum installation spacing that is sufficient for adjacent photovoltaic modules to be non-occluding, hi some exemplary embodiments, the photovoltaic modules are rectangular and the installed photovoltaic modules have an installation tilt angle of β
The method comprises the steps of calculating a preset installation interval of a photovoltaic module, wherein D is the preset installation interval of the photovoltaic module, β is an installation inclination angle of the photovoltaic module, gamma is a latitude of an installation place of the photovoltaic module, l is the length of the photovoltaic module, and in the case of a rectangular photovoltaic module, l refers to the length of a side of the photovoltaic module, which extends to intersect with the ground.
In some exemplary embodiments, if the photovoltaic module is installed such that the installed photovoltaic module is at an angle of β degrees with respect to the ground, the access channel extends along the width of the photovoltaic module
And calculating the corresponding installation number of the photovoltaic modules in unit area, wherein n is the installation number of the photovoltaic modules in unit area, l is the length of the photovoltaic modules, D is the width of the photovoltaic modules, β is the installation inclination angle of the photovoltaic modules, s is the width of the maintenance channel, and D is the preset installation interval of the photovoltaic modules.
Wherein max (I s β + s, D) function represents the maximum value of two numbers I s β + s and D, as shown in FIG. 2, the photovoltaic module is shownWhen l × cos β + s is greater than the preset installation interval D, the actual installation interval of the photovoltaic modules 201 is l × cos β + s, and the number of the photovoltaic modules 201 installed per unit area is equal to or greater than the preset installation interval D
As shown in fig. 3, it is a schematic view of an installation structure of the photovoltaic module, wherein the arrow direction is the illumination direction, when l × cos β + s is smaller than the preset installation interval D, the actual installation interval of the photovoltaic module 201 is the preset installation interval D, and the installation number of the photovoltaic module 201 per unit area is
When l × cos β + s is equal to the preset installation interval D, the number of the photovoltaic modules installed in unit area
The maintenance channel is a channel reserved between the photovoltaic modules and used for detecting the photovoltaic modules. In some exemplary embodiments, obtaining the service aisle width may be obtained by obtaining design values of a power plant designer. For example, in the input stage, data input by a user is received to obtain the width of the overhaul channel; or searching the power station design scheme through keywords (such as 'channel width') so as to obtain the width of the overhaul channel; or according to experience, the width of the access passage is preset to be a common value. The latter two methods typically require user confirmation. In some exemplary embodiments, the obtaining of the service aisle width may also directly use a preset value as the service aisle width, and the preset value may be the minimum width of the service aisle.
In some exemplary embodiments, the service aisle may also extend along the length direction of the photovoltaic module, and the number of photovoltaic modules installed per unit area is the same as the service aisle
If the nominal power and the number of installations per unit area of the photovoltaic module are known, the power density can be calculated according to the formula P n P1, where P is the power density and P1 is the nominal power of the photovoltaic module.
Of course, in some exemplary embodiments, the power density of the photovoltaic module may also be calculated by directly calculating the installation number n per unit area of the photovoltaic module through the horizontal interval and the vertical interval of the photovoltaic module, which are input by a user. Step S3: and obtaining the inclined plane irradiation hours at the installation place and the installation inclination angle according to the installation place and the installation inclination angle of the photovoltaic module.
The photovoltaic modules receive different solar radiation at different places on the earth; in the same installation place and at different installation inclination angles, the solar radiation received by the photovoltaic module is also different. If the installation site and the installation inclination of the photovoltaic module are known, the number of hours of irradiation of the inclined surface of the installation site in relation to the installation inclination can be obtained in principle from the installation site.
For example, in some exemplary embodiments, by querying a preset irradiation time information base, the inclined plane irradiation time at the installation site and the installation inclination angle is obtained according to the installation site and the installation inclination angle. The irradiation time information base can comprise a mapping relation of an installation place, an installation inclination angle and inclined plane irradiation time. The irradiation time number information base may also include other sunshine information, such as peak sunshine time. The irradiation time information base can be obtained by inquiring the inclined plane irradiation time at different installation sites and different installation inclination angles in the modes of the internet and the like. For convenient realization, the irradiation time information base does not exhaust the inclined plane irradiation time corresponding to all the inclination angles, only inclined plane irradiation time with specific inclination angles can be built in, if the actual installation inclination angle does not belong to one of the specific inclination angles built in the irradiation time information base, a specific inclination angle closest to the actual installation inclination angle can be screened from the specific inclination angles, and then the approximate inclined plane irradiation time is obtained by inquiring according to the installation place and the closest specific inclination angle. Of course, the closest first specific inclination angle larger than the actual installation inclination angle and the closest second specific inclination angle smaller than the actual installation inclination angle can be screened out from the plurality of specific inclination angles, and then the approximate first inclined plane irradiation time number and the second inclined plane irradiation time number can be obtained through query according to the installation place and the first and second specific inclination angles. And subsequently, respectively calculating first photovoltaic power generation capacity and second photovoltaic power generation capacity according to the irradiation time of the first inclined plane and the irradiation time of the second inclined plane for reference of a user.
The inclined plane irradiation time number at different places and different installation inclination angles can also be directly obtained in a pre-testing mode. It should be understood that in other exemplary embodiments, the number of hours of irradiation of the inclined plane of the installation site can be obtained through the installation site and the installation inclination angle of the photovoltaic module, for example, the number of hours of irradiation of the inclined plane of the installation site and the installation inclination angle can be directly inquired by accessing a specific database through the internet. Or, the big data is analyzed through the Internet. Alternatively, an irradiation time number information base is built in the system in advance. Of course, it is also possible to adopt a plurality of the above manners at the same time, and design the corresponding execution priority to ensure that the inclined plane irradiation time corresponding to the installation place and the installation inclination angle can be obtained. Or the peak sunshine duration of the installation site is inquired, and the inclined plane irradiation time needs to be obtained through certain conversion because the peak sunshine duration corresponds to the optimal inclination angle.
In some embodiments, for example, the irradiation amount of the inclined plane at the installation site and the installation inclination angle can be queried by accessing a radiation database of a meteorological office, and then the irradiation amount is converted into the irradiation hours of the inclined plane.
In some embodiments, the prediction method obtains the inclined plane irradiation hours at the installation site and the installation inclination angle according to the installation site and the installation inclination angle by querying a preset irradiation hour information base; the prediction method still further comprises: and presetting an irradiation time information base.
In other embodiments, the irradiation time information base and the installation latitude information base can be combined into one installation place information base, and the installation place information base comprises the mapping relation between the installation place and the latitude and the mapping relation between the installation place, the installation inclination angle and the inclined plane irradiation time.
Step S4: and calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module.
Under the condition that the power density, the inclined plane irradiation time and the installation area of the photovoltaic module are known, the photovoltaic power generation amount of the power station can be calculated, and the specific implementation modes are various and are not limited specifically.
Step S4 may calculate the photovoltaic power generation of the power plant using the formula W ═ P × GK × η, where W is the photovoltaic power generation of the power plant, S is the photovoltaic module installation area, P is the power density, GK is the installation site, the ramp exposure hours corresponding to the installation inclination, η is the system efficiency of the power plant.
In some exemplary embodiments, as shown in fig. 4, a schematic diagram of a calculation principle of a photovoltaic power generation amount prediction method provided for some embodiments of the present disclosure is provided. The system according to the prediction method includes an input/output interface, a database, and a logic control program. The database can comprise an irradiation time information base, a product information base and a power density information base. The product information base may include a mapping of product model number to the nominal power of the photovoltaic module, the length, width, and type of photovoltaic module; the irradiation time information base comprises the mapping of an installation place, an installation inclination angle and the inclined plane irradiation time; the power density information base comprises the mapping of product model, installation inclination angle and power density. The power density information base may be created by the power density acquisition method described above, for example.
As shown in fig. 4, a user may input an installation location, an installation inclination angle, a product model, and an installation area S of a photovoltaic module to an input interface of the system, the method provided in the present exemplary embodiment may first obtain a nominal power, a module length and width, and other more module information (e.g., a product type related to a material) of the photovoltaic module by querying an irradiation time information base, according to the installation location and the installation inclination angle, and the test method may obtain a system efficiency η having different empirical values under different installation scenarios by querying a product information base, for example, a crystalline silicon photovoltaic module is generally applied to the building of a ground power station, an empirical value of a system efficiency η of the ground power station is 80%, for example, a flexible photovoltaic module is generally applied to a roof power station module, an empirical value of a system efficiency η of the roof power station is 83%, so that the test method may obtain a corresponding empirical value of a system efficiency η by product model, according to a map P of the installation location, a product model P of the system may be obtained by directly inputting an empirical value of an installation efficiency map η of the system η, and a product model map 34 may be obtained by the method according to a map P of the installation efficiency map η.
In other exemplary embodiments, the user may also directly input the generated power EP to the interface, and the calculation method may calculate the photovoltaic power generation W of the power plant according to the formula W EP GK η.
It should be understood that in some exemplary embodiments, the user may also input the photovoltaic power generation W of the power plant, and calculate the area of the photovoltaic module according to S ═ W/(P × GK × η.
The present exemplary embodiment also provides a photovoltaic power generation amount prediction apparatus, as shown in fig. 5, which is a functional block diagram of an exemplary embodiment of the photovoltaic power generation amount prediction apparatus of the present disclosure. The device includes: the device comprises an acquisition unit 1, a first processing unit 2, a second processing unit 3 and a third processing unit 4. The acquisition unit is used for acquiring assembly information and installation information of a photovoltaic assembly, wherein the assembly information of the photovoltaic assembly comprises nominal power of the photovoltaic assembly, length and width of the photovoltaic assembly, and the installation information of the photovoltaic assembly comprises installation area, installation place and installation inclination angle of the photovoltaic assembly; the first processing unit is used for calculating the power density of the photovoltaic module according to the module information and the installation information, and the second processing unit is used for obtaining the inclined plane irradiation hours of the installation place and the installation inclination angle according to the installation place and the installation inclination angle of the photovoltaic module; and the third processing unit is used for calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic assembly.
The photovoltaic power generation amount prediction device provided by the exemplary embodiment has the same technical features and working principles as the photovoltaic power generation amount prediction method, and details are not repeated here.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Example 2
The present exemplary embodiment also provides a storage medium on which a computer program is stored, the program implementing, when executed by a processor, any one of the photovoltaic power generation amount prediction methods according to embodiment 1.
According to an aspect of the present invention, there is provided an electronic apparatus including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform any of the photovoltaic power generation amount prediction methods described above in embodiment 1 via execution of the executable instructions.
An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 6. The electronic device 300 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, electronic device 300 is embodied in the form of a general purpose computing device. The components of electronic device 300 may include, but are not limited to: the at least one processing unit 310, the at least one memory unit 320, a bus 330 connecting different system components (including the memory unit 320 and the processing unit 310), and a display unit 340.
Wherein the storage unit stores program code that is executable by the processing unit 310 to cause the processing unit 310 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 1.
The storage unit 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)3201 and/or a cache memory unit 3202, and may further include a read only memory unit (ROM) 3205.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3203, such program modules 3203 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 300 may also communicate with one or more external devices 370 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 331. Also, the electronic device 300 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 360. As shown in FIG. 6, network adapter 360 communicates with the other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 7, a program product 400 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF (radio frequency) and the like, or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
It should be noted that the technical features in the present disclosure may be arbitrarily combined and used without being mutually exclusive.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (10)
1. A photovoltaic power generation amount prediction method is characterized by comprising the following steps:
acquiring component information and installation information of a photovoltaic component of a power station, wherein the component information of the photovoltaic component comprises nominal power of the photovoltaic component, length and width of the photovoltaic component, and the installation information of the photovoltaic component comprises installation area, installation place and installation inclination angle of the photovoltaic component;
calculating the power density of the photovoltaic module according to the module information and the installation information;
obtaining corresponding inclined plane irradiation hours according to the installation place and the installation inclination angle of the photovoltaic module;
and calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module.
2. The photovoltaic power generation amount prediction method according to claim 1, characterized by further comprising:
obtaining a latitude of the installation site through the installation site of the photovoltaic module, an
Acquiring the width of an overhaul channel;
the calculating the power density of the photovoltaic module according to the module information and the installation information comprises:
calculating a preset installation interval of the photovoltaic module according to the length of the photovoltaic module, the installation inclination angle of the photovoltaic module and the latitude of the installation place;
calculating the installation number of the photovoltaic modules in unit area according to the preset installation interval, the width of the overhaul channel, the length and the width of the photovoltaic modules and the installation inclination angle;
and calculating the power density of the photovoltaic modules according to the installation number of the photovoltaic modules in the unit area and the nominal power of the photovoltaic modules.
3. The photovoltaic power generation amount prediction method according to claim 2, wherein the calculating of the preset installation interval of the photovoltaic module based on the length of the photovoltaic module, the installation inclination angle of the photovoltaic module, and the latitude of the installation site includes:
using formulas
Calculating the preset installation interval of the photovoltaic module, wherein D is the preset installation interval of the photovoltaic module, and l isThe length of the photovoltaic module, β, is the installation inclination angle of the photovoltaic module, and γ is the latitude of the installation site of the photovoltaic module.
4. The photovoltaic power generation amount prediction method according to claim 2, wherein the calculating of the number of photovoltaic modules installed per unit area based on the preset installation interval, the access passage width, the length, the width and the installation inclination of the photovoltaic modules comprises:
using formulas
And calculating the corresponding installation number of the photovoltaic modules in unit area, wherein n is the installation number of the photovoltaic modules in unit area, l is the length of the photovoltaic modules, D is the width of the photovoltaic modules, β is the installation inclination angle of the photovoltaic modules, s is the width of the maintenance channel, and D is the preset installation interval of the photovoltaic modules.
5. The photovoltaic power generation amount prediction method according to claim 1, characterized by further comprising: acquiring the system efficiency of the power station;
the calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic module of the power station comprises the following steps:
calculating the photovoltaic power generation amount of the power station by using a formula W (S P GK) η, wherein W is the photovoltaic power generation amount of the power station, S is the installation area of the photovoltaic module, P is the power density, GK is the inclined plane irradiation time number of the installation site, and η is the system efficiency of the power station.
6. The photovoltaic power generation amount prediction method according to claim 1, wherein the acquiring component information of the photovoltaic component of the power plant includes:
the method comprises the steps of inquiring a preset product information base, obtaining component information of the photovoltaic component according to the product model of the photovoltaic component, wherein the product information base comprises the product model, the nominal power of the photovoltaic component and the mapping of the length and the width of the photovoltaic component.
7. The photovoltaic power generation amount prediction method according to claim 1, wherein the obtaining of the corresponding inclined plane irradiation hours according to the installation place and the installation inclination angle of the photovoltaic module comprises:
and acquiring the inclined plane irradiation time corresponding to the installation place and the installation inclination angle according to the installation place and the installation inclination angle by inquiring a preset irradiation time information base, wherein the irradiation time information base comprises the mapping of the installation place, the installation inclination angle and the inclined plane irradiation time.
8. A photovoltaic power generation amount prediction apparatus, comprising:
the device comprises an acquisition unit, a control unit and a processing unit, wherein the acquisition unit is used for acquiring component information and installation information of a photovoltaic component of a power station, the component information of the photovoltaic component comprises nominal power of the photovoltaic component, length and width of the photovoltaic component, and the installation information of the photovoltaic component comprises installation area, installation place and installation inclination angle of the photovoltaic component;
the first processing unit is used for calculating the power density of the photovoltaic module according to the module information and the installation information;
the second processing unit is used for obtaining the corresponding inclined plane irradiation time according to the installation place and the installation inclination angle of the photovoltaic module;
and the third processing unit is used for calculating the photovoltaic power generation amount of the power station according to the power density, the inclined plane irradiation time and the installation area of the photovoltaic assembly.
9. A storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the photovoltaic power generation amount prediction method according to any one of claims 1 to 7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the photovoltaic power generation amount prediction method of any one of claims 1-7 via execution of the executable instructions.
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Application publication date: 20200619 |