Photovoltaic power generation system power generation prediction method and related products

Abstract

The application provides a power generation prediction method of a photovoltaic power generation system and related products. The power generation prediction method of the photovoltaic power generation system comprises the following steps: obtaining construction requirements of the photovoltaic power generation system; querying a selected design scheme meeting the construction requirements from a preset photovoltaic system design library; extracting adjustable parameters in the selected design scheme; generating and outputting a design adjustment interface according to the adjustable parameters, wherein the design adjustment interface comprises an adjustment interface for adjusting the adjustable parameters; generating a design model in response to input information of the adjustment interface; and performing simulation calculation on the design model to obtain expected power generation data of the photovoltaic power generation system. The scheme of the application has good consistency between the design model and the design scheme, the simulation calculation result can predict the power generation of the photovoltaic power generation system, and the prediction result is more accurate.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power generation prediction, and in particular to a method for predicting power generation in a photovoltaic power generation system and related products. Background Technology

[0002] Solar energy has become one of the important resources to replace traditional energy sources. Solar energy can be utilized not only by directly using the emitted heat, but also by converting it into electricity through photovoltaic (PV) technology. Compared with other clean power generation methods, PV power generation has significant advantages. In recent years, the total amount of PV power generation has gradually increased, while the cost of PV power generation has gradually decreased.

[0003] During the planning and design phase of a photovoltaic power generation system, a preliminary survey of the entire project is required, with power generation forecasting being a crucial component of this survey. Existing power generation forecasts are generally based on the natural conditions of the construction area, analyzing factors such as the geographical location, natural environment, and solar radiation, and using mathematical models to calculate the power generation potential.

[0004] However, the aforementioned power generation prediction models are generally based on pre-set parameters, and their prediction results often differ significantly from the actual operating results of photovoltaic equipment. For example, the photovoltaic conversion efficiency does not fully consider the coordination between different types of photovoltaic modules and inverters. This leads to inaccurate photovoltaic power generation predictions, seriously impacting subsequent construction and operation, distorting economic indicators, and causing investment losses. Summary of the Invention

[0005] One objective of this invention is to provide a method for predicting the power generation of a photovoltaic power generation system that yields more accurate prediction results.

[0006] A further objective of this invention is to efficiently predict power generation using design schemes with different parameters.

[0007] Specifically, the present invention provides a method for predicting the power generation of a photovoltaic power generation system, comprising:

[0008] Obtain the construction requirements for photovoltaic power generation systems;

[0009] Search the preset photovoltaic system design library for alternative design schemes that meet the construction requirements;

[0010] Extract adjustable parameters from alternative design schemes;

[0011] The design adjustment interface is generated and output based on the adjustable parameters. The design adjustment interface contains adjustment interfaces for adjusting the adjustable parameters.

[0012] In response to the input information of the adjustment interface, a design model is generated;

[0013] The design model is simulated and calculated to obtain the expected power generation data of the photovoltaic power generation system.

[0014] Optionally, the steps for extracting adjustable parameters from alternative design schemes include:

[0015] Determine the types of photovoltaic equipment to be selected from the alternative design schemes;

[0016] Query the equipment parameters and installation parameters of photovoltaic equipment;

[0017] The adjustable parameters are obtained by filtering the adjustable parts of the equipment parameters and installation parameters.

[0018] Optionally, the steps for filtering the adjustable portions of the equipment parameters and installation parameters include:

[0019] Obtain the compatibility relationships between various photovoltaic devices;

[0020] Determine parameter constraints based on the compatibility relationship;

[0021] Filter the adjustable parts of equipment parameters and installation parameters using parameter constraints.

[0022] Optionally, the steps of generating and outputting the design adjustment interface based on adjustable parameters include:

[0023] Each adjustable parameter is treated as a form item in a dynamic form;

[0024] The form items are sorted according to a preset sorting strategy to obtain the layout of the dynamic form;

[0025] Generate the design adjustment interface corresponding to the dynamic form.

[0026] Optionally, the steps to obtain the construction requirements for a photovoltaic power generation system include:

[0027] Collect terrain and meteorological information for the proposed construction site of the photovoltaic power generation system;

[0028] The construction requirements for photovoltaic power generation systems are generated based on terrain and meteorological information.

[0029] Optionally, after generating the construction requirements for the photovoltaic power generation system based on terrain and meteorological information, the method may further include:

[0030] Obtain the constraints for photovoltaic (PV) power generation system construction;

[0031] The construction requirements were adjusted in accordance with the constraints of photovoltaic construction.

[0032] Optionally, the steps for obtaining the photovoltaic construction constraints of a photovoltaic power generation system include:

[0033] Determine the installation restrictions in the constraints of photovoltaic construction based on terrain feature information;

[0034] Obtain the power grid environment at the proposed construction location, and determine the grid connection constraints in the photovoltaic construction constraints based on the power grid environment;

[0035] Obtain information on surrounding facilities at the proposed construction site, and identify compliance constraints in the photovoltaic construction constraints based on this information.

[0036] Optionally, the steps for collecting terrain feature information of the location where the photovoltaic power generation system will be built include:

[0037] Obtain a digital elevation model of the location to be constructed. The digital elevation model is built using pre-collected terrain data.

[0038] The topography of the construction site is identified using a digital elevation model, and the slope and aspect are calculated.

[0039] The terrain features, including topography, slope, and aspect, are organized into a preset data format.

[0040] Optionally, the steps for collecting meteorological characteristic information of the location where the photovoltaic power generation system will be built include:

[0041] Collect historical meteorological data for the site to be constructed;

[0042] Meteorological characteristic information is obtained by extrapolating historical meteorological data using a pre-established climate model.

[0043] According to another aspect of the present invention, a computer program product is also provided, comprising a computer program that, when executed by a processor, implements the steps of the power generation prediction method for any of the above-described photovoltaic power generation systems.

[0044] According to another aspect of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the power generation prediction method of any of the above-described photovoltaic power generation systems.

[0045] According to another aspect of the present invention, a computer device is also provided, which includes a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the power generation prediction method of any of the above-described photovoltaic power generation systems.

[0046] The photovoltaic power generation prediction method of this invention determines suitable alternative design schemes based on the construction requirements of the photovoltaic power generation system. This ensures that the alternative design schemes meet the construction requirements of the photovoltaic power generation system and are specifically adapted to particular construction scenarios, thereby improving the scientific nature of scheme selection and avoiding design errors. Adjustable parameters in the alternative design schemes can be adjusted by operators using a design adjustment interface, achieving dynamic scheme adjustment and high design flexibility. The adjusted design model is then used for simulation calculations to obtain the expected power generation data of the photovoltaic power generation system. Due to the good consistency between the design model and the design scheme, the simulation calculation results can predict the power generation of the photovoltaic power generation system, making the prediction results more accurate.

[0047] Furthermore, in the photovoltaic power generation prediction method of the present invention, the adjustable parameters of the alternative design scheme can be conveniently adjusted as needed, and the obtained expected power generation data can be further used to feed back the design results, thereby realizing iterative design optimization of the photovoltaic power generation system.

[0048] Furthermore, the photovoltaic power generation prediction method of the present invention utilizes the coordination relationship between various photovoltaic devices to determine parameter constraints, and further utilizes the parameter constraints to narrow the adjustment range of adjustable parameters, thereby reducing conflicts in the design scheme and improving the design efficiency of designers.

[0049] The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description

[0050] The following sections will describe some specific embodiments of the invention in detail by way of example and not limitation, with reference to the accompanying drawings. The same reference numerals in the drawings denote the same or similar parts or portions. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0051] Figure 1 This is a schematic diagram of a photovoltaic power generation prediction method according to an embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram illustrating the extraction of adjustable parameters in a photovoltaic power generation prediction method according to an embodiment of the present invention.

[0053] Figure 3 This is a schematic diagram of generating a design adjustment interface in a photovoltaic power generation prediction method according to an embodiment of the present invention;

[0054] Figure 4 This is a schematic diagram of the design adjustment interface generated in the power generation prediction method of a photovoltaic power generation system according to an embodiment of the present invention;

[0055] Figure 5 This is a schematic diagram illustrating the method for predicting the power generation of a photovoltaic power generation system according to an embodiment of the present invention, which obtains the construction requirements of the photovoltaic power generation system.

[0056] Figure 6 This is a schematic flowchart of obtaining photovoltaic construction constraints in a photovoltaic power generation prediction method according to an embodiment of the present invention;

[0057] Figure 7 This is a schematic diagram of a computer program product according to an embodiment of the present invention;

[0058] Figure 8 This is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention;

[0059] Figure 9 This is a schematic block diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0060] Those skilled in the art should understand that the embodiments described below are merely a part of the embodiments of the present invention, and not all of the embodiments of the present invention. These partial embodiments are intended to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by those skilled in the art without creative effort should still fall within the scope of protection of the present invention.

[0061] This embodiment first provides a method for predicting the power generation of a photovoltaic power generation system, which solves the problem of inaccurate photovoltaic power generation prediction results in traditional photovoltaic electrical design, and provides a foundation for the efficient, safe and stable operation of the subsequent photovoltaic power generation system.

[0062] Figure 1 This is a schematic diagram of a power generation prediction method for a photovoltaic power generation system according to an embodiment of the present invention. The power generation prediction method for the photovoltaic power generation system generally includes:

[0063] Step S101: Obtain the construction requirements for the photovoltaic power generation system. These requirements can be formulated based on the characteristics of the construction area and the requirements of the photovoltaic power generation system operator. They may include economic indicators (e.g., power generation, electricity costs, system efficiency, return on investment, etc.), performance indicators (e.g., system losses, light-to-spot conversion efficiency, operational reliability), power quality indicators (e.g., harmonic distortion rate, voltage fluctuation, three-phase imbalance), and safety requirements (e.g., wind resistance, earthquake resistance, etc.).

[0064] Step S102: Search the preset photovoltaic system design library for alternative design schemes that meet the construction requirements. Alternative design schemes may include selection schemes for various equipment, layout schemes, and operation schemes. For example, equipment selection schemes may include selection schemes for photovoltaic modules, cables, inverters, energy storage batteries, and mounting brackets; layout schemes include the layout and installation methods of various equipment within the construction area; and operation schemes include control strategies and interaction strategies with the power grid.

[0065] Step S103: Extract adjustable parameters from the alternative design schemes. The design schemes include fixed parameters and some adjustable parameters. Adjusting these adjustable parameters may affect the operation and power generation of the photovoltaic power generation system. Adjustable parameters may include the tilt angle of the photovoltaic modules, relative azimuth angle, solar tracking method, number of photovoltaic strings, ground clearance of the support structure, installation method of the support structure, capacity ratio, etc.

[0066] Step S104: Generate and output a design adjustment interface based on the adjustable parameters. The design adjustment interface includes adjustment interfaces for adjusting the adjustable parameters. The adjustment interfaces provide a way for designers to input relevant data or select from relevant data.

[0067] Step S105: In response to the input information of the adjustment interface, a design model is generated. The design model is generated based on the parameters of the alternative design schemes.

[0068] Step S106 involves simulating and calculating the design model to obtain the expected power generation data of the photovoltaic power generation system. Simulation and calculation of the design model can be performed by combining irradiance data for different installation orientations, module tilt angles, shading algorithms, and power generation efficiency after module shading. For example, the design model can be established based on the parameters of alternative design schemes, and simulation calculations can be performed on meteorological data and module operating status to obtain the short-term, medium-term, and long-term expected power generation data of the photovoltaic power generation system.

[0069] The photovoltaic power generation prediction method in this embodiment determines suitable alternative design schemes based on the construction requirements of the photovoltaic power generation system. This ensures that the alternative design schemes meet the construction requirements of the photovoltaic power generation system and are specifically adapted to the construction scenario, thereby improving the scientific nature of the scheme selection and avoiding design errors. Adjustable parameters in the alternative design schemes can be adjusted by operators using a design adjustment interface, realizing dynamic scheme adjustment and high design flexibility. The adjusted design model is then used for simulation calculations to obtain the expected power generation data of the photovoltaic power generation system. Because the design model and the design scheme have good consistency, the simulation calculation results can predict the power generation of the photovoltaic power generation system, making the prediction results more accurate.

[0070] Figure 2This is a schematic diagram illustrating the extraction of adjustable parameters in a photovoltaic power generation prediction method according to an embodiment of the present invention. Step S103 above, which involves extracting adjustable parameters from alternative design schemes, may include:

[0071] Step S201: Determine the various types of photovoltaic equipment to be used in the alternative design schemes. These photovoltaic equipment may include photovoltaic modules, cables, inverters, energy storage batteries, and mounting brackets.

[0072] Step S202: Query the equipment parameters and installation parameters of the photovoltaic equipment.

[0073] Step S203 involves filtering the adjustable portions of the equipment parameters and installation parameters to obtain the adjustable parameters. Specific steps for filtering the adjustable portions of the equipment parameters and installation parameters may include: obtaining the compatibility relationships between various photovoltaic devices; determining parameter constraints based on the compatibility relationships; and using the parameter constraints to filter the adjustable portions of the equipment parameters and installation parameters.

[0074] The above steps utilize the coordination relationships between various photovoltaic devices to determine parameter constraints, and further utilize these constraints to narrow down the adjustment range of adjustable parameters, thereby reducing conflicts in the design scheme and improving the design efficiency of designers.

[0075] Figure 3 This is a schematic diagram illustrating the generation of a design adjustment interface in a photovoltaic power generation prediction method according to an embodiment of the present invention. Step S104, which generates and outputs the design adjustment interface based on adjustable parameters, may include:

[0076] Step S301: Each adjustable parameter is treated as a form item in a dynamic form; in addition to the name and model of the alternative electrical equipment, the form item may also include a brief description of the parameter and recommended parameters.

[0077] Step S302: Sort the form items according to the preset sorting strategy to obtain the layout of the dynamic form;

[0078] Step S303: Generate the design adjustment interface corresponding to the dynamic form.

[0079] Figure 4This is a schematic diagram of a design adjustment interface generated in a photovoltaic power generation prediction method according to an embodiment of the present invention. The equipment selection in the design adjustment interface only lists photovoltaic modules, inverters, brackets, and energy storage. The installation parameters list the module installation method, module placement method, relative tilt angle, relative azimuth angle, and ground clearance. Those skilled in the art can configure the design adjustment interface according to the requirements of the photovoltaic power generation system and the method of the above embodiment to meet the parameter adjustment requirements. The design adjustment interface can be configured on a personal computer, smartphone, tablet computer, or other dedicated electronic client device, and output using the display screen of these devices.

[0080] Figure 5 This is a schematic diagram illustrating the process of obtaining the construction requirements of a photovoltaic power generation system in a power generation prediction method according to an embodiment of the present invention. Step S101, obtaining the construction requirements of the photovoltaic power generation system, may include:

[0081] Step S501: Collect terrain and meteorological information of the location where the photovoltaic power generation system will be built.

[0082] Topographical features can include: topography, slope and aspect, and altitude. Topography affects the installation and layout of photovoltaic (PV) modules. For example, complex mountainous, hilly, or obstacle-prone areas increase construction difficulty and cost, and may also affect the sunlight reception of PV modules. Slope aspect affects the angle of sunlight incidence, while slope affects the installation method and difficulty of PV modules. Altitude affects the intensity of solar radiation and the impact of clouds. Generally, higher solar radiation intensity is considered beneficial for improving PV power generation efficiency, but excessively high altitudes may also present factors such as strong winds and low temperatures, which are unfavorable for the construction and operation of PV power generation systems.

[0083] The steps for collecting terrain feature information of the location to be constructed for a photovoltaic power generation system may include: obtaining a digital elevation model of the location to be constructed, which is built using pre-collected terrain data; using the digital elevation model to identify the terrain and landforms of the location to be constructed and calculating the slope and aspect; and organizing the terrain and landforms and slope and aspect into terrain feature information in a preset data format.

[0084] A Digital Elevation Model (DEM) is a mathematical model that describes the Earth's surface elevation as a discrete numerical array. It expresses topographic relief characteristics through a three-dimensional data structure of planar coordinates (X, Y) and elevation values ​​(Z). By analyzing the DEM data, contour line information representing topographic features can be extracted. For example, sparse contour lines indicate flat terrain, while dense contour lines indicate greater topographic relief. The shape and spacing of the contour lines can be used to determine the landform type. Using spatial analysis tools in Geographic Information System (GIS) software, slope and aspect can be calculated based on the DEM data. Slope values ​​can be expressed in degrees, and aspect can be expressed in angles.

[0085] Elevation models can be obtained by requesting data from professional surveying platforms or by using data collected through satellite remote sensing, aerial surveying, and ground surveying. Topographic, slope, and aspect data must be presented in a unified coordinate system and elevation datum, with units and precision for each data type set according to construction requirements.

[0086] Meteorological characteristics can include: solar radiation data (including total annual / monthly / day solar radiation, the ratio of direct to diffuse radiation, and annual effective sunshine duration), temperature data (including average temperature, extreme temperature, and diurnal temperature range), wind speed and direction (including average wind speed, maximum wind speed, and wind direction distribution), precipitation and humidity (including annual precipitation, seasonal precipitation distribution, and air humidity), cloud cover distribution, extreme weather events, and snow and ice accumulation. Among these, solar radiation data directly affects power generation efficiency, photovoltaic panel type selection, and power generation potential; temperature data affects the structural durability of the support structure and photovoltaic modules, as well as photovoltaic power generation efficiency; wind speed and direction affect the wind resistance requirements of the support structure and photovoltaic modules; precipitation and humidity affect the cleanliness and corrosion of photovoltaic modules; cloud cover distribution affects the volatility of photovoltaic power generation; and extreme weather events and snow and ice accumulation directly affect the operational safety of the photovoltaic power generation system.

[0087] The steps for collecting meteorological characteristic information at the site where a photovoltaic power generation system will be built may include: collecting historical meteorological data for the site; and using a pre-established climate model to extrapolate the historical meteorological data to obtain meteorological characteristic information. Historical meteorological data can be obtained through measurements from meteorological monitoring equipment deployed at the site, or by accessing historical meteorological data released by meteorological departments. Historical meteorological data may include daily, monthly, and yearly data on temperature, humidity, wind speed, precipitation, solar radiation intensity, and extreme weather records.

[0088] Step S502: Construction requirements for the photovoltaic power generation system are generated based on terrain and meteorological information. These requirements may include power generation targets, operation and maintenance cost targets, environmental benefit targets, and auxiliary power supply targets (including grid capacity and energy storage capacity). These construction requirements are automatically generated using terrain and meteorological information, conforming to the characteristics of the proposed construction location. The expected goals for photovoltaic construction align with the characteristics of the proposed location, achieving dynamic target generation and high design flexibility.

[0089] The process of generating construction requirements may include: determining the area of ​​the photovoltaic (PV) installation area at the proposed construction location based on terrain features; assessing the irradiance data of the PV installation area based on meteorological features; generating an ideal PV target based on the area and irradiance data, and then having the project operator formulate construction requirements based on this ideal target, taking into account their own revenue, technology, and operational situation. The area of ​​the aforementioned PV installation area refers to the area suitable for PV panel installation and free from solar shading. The irradiance data for the PV installation area may include daily average irradiance and annual average irradiance. Daily average irradiance refers to the solar radiation energy received per unit area per day, typically expressed in MJ / m². 2 / day (megajoules per square meter per day) is used to express this value. This value is affected by factors such as geographical location, season, weather conditions, and the surrounding environment. After obtaining the average daily irradiance, the average annual irradiance is further calculated using the average daily irradiance.

[0090] After the step of generating the construction requirements for a photovoltaic power generation system based on terrain and meteorological information, it may also include:

[0091] Step S503: Obtain the photovoltaic (PV) construction constraints of the PV power generation system. These constraints include: installation restrictions, grid connection constraints, and compliance constraints. Installation restrictions limit the installation methods and specifications that the installation foundation (foundation, wall, roof) can withstand; grid connection constraints limit the grid's absorption capacity, the permissible degree of reverse absorption, and grid fluctuation compliance; compliance constraints are used to match various technical specifications and policy requirements.

[0092] Step S504: Adjust the construction requirements according to the constraints of photovoltaic construction. Adjusting the construction requirements ensures compliance and avoids violations of relevant regulations and technical specifications. For example, regarding the regulation prohibiting the installation of photovoltaic modules within 50 meters of both sides of traffic routes, the construction requirements need to exclude the installation of photovoltaic modules within this range; another example is that for areas with extreme winds greater than level 6, the construction requirements require the use of structurally reinforced brackets for photovoltaic module installation; and for situations where the grid does not allow reverse rotation, the construction requirements need to increase the energy storage ratio.

[0093] Figure 6This is a schematic flowchart illustrating the process of obtaining photovoltaic construction constraints in a photovoltaic power generation prediction method according to an embodiment of the present invention. Step S503 above, which involves obtaining the photovoltaic construction constraints of the photovoltaic power generation system, may include:

[0094] Step S601: Determine the installation restrictions in the photovoltaic construction constraints based on the terrain feature information; the installation restrictions can narrow down the range of possible installation methods, such as the height of the bracket, the weight of the bracket, the fixing method, the tracking method of the bracket, etc.

[0095] Step S602: Obtain the power grid environment of the location to be constructed, and determine the grid access constraints in the photovoltaic construction constraints based on the power grid environment. The power grid operator will propose requirements for the installed capacity, power generation rate, and electrical safety requirements of photovoltaics based on factors such as the distribution transformer capacity and line carrying capacity, the power dispatching capability to mitigate the fluctuations in photovoltaic power generation, and the function of power metering equipment. The grid access constraints are used to standardize the above requirements.

[0096] Step S603: Obtain information on surrounding facilities at the construction site, and identify compliance constraints in the photovoltaic construction constraints based on this information. Relevant administrative approval departments will impose restrictions on photovoltaic construction based on land nature, use, ecological environment, transportation facilities, etc., such as prohibiting the installation of photovoltaic systems along transportation routes or requiring photovoltaic construction to comply with land use planning and urban and rural planning requirements. These compliance constraints standardize the restrictions imposed by the aforementioned regulations and administrative orders.

[0097] The above adjustments to the construction requirements in accordance with photovoltaic construction constraints ensure that the design scheme is not restricted by these constraints, achieving full compliance and controllability of the photovoltaic project from planning to design to construction, and providing an accurate design model for power generation forecasting.

[0098] In summary, the photovoltaic power generation prediction method of this embodiment solves the problem of inaccurate photovoltaic power generation prediction results leading to distorted design economic indicators and investment losses in traditional photovoltaic electrical design, and provides a foundation for the efficient, safe and stable operation of the photovoltaic power generation system in the future.

[0099] This embodiment also provides a computer program product 112, a computer-readable storage medium 113, and a computer device 114. Figure 7 This is a schematic diagram of a computer program product 112 according to an embodiment of the present invention. Figure 8 This is a schematic diagram of a computer-readable storage medium 113 according to an embodiment of the present invention. Figure 9 This is a schematic block diagram of a computer device 114 according to an embodiment of the present invention.

[0100] Computer program product 112 includes computer program 111, which, when executed by processor 310, implements the steps of the design method for the power generation prediction method of any of the above-described photovoltaic power generation systems. Computer-readable storage medium 113 stores the aforementioned computer program 111, which, when executed by processor 310, implements the steps of the design method for the power generation prediction method of any of the above-described photovoltaic power generation systems. Computer device 114 may include memory 320, processor 310, and computer program 111 stored in memory 320 and running on processor 310.

[0101] The computer program 111 used to perform the operations of this invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, status setting data, integrated circuit configuration data, or source code or object code written in any combination of one or more programming languages ​​and procedural programming languages.

[0102] Computer program 111 may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer may be connected to the user's computer via any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, to perform aspects of the invention, electronic circuits including, for example, programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) may execute computer-readable program instructions to personalize the electronic circuits by utilizing state information of computer-readable program instructions.

[0103] For the purposes of this embodiment, computer program product 112 is a related product that includes computer program 111.

[0104] For the purposes of this embodiment, a computer-readable storage medium 113 is a tangible device capable of holding and storing a computer program 111. It can be any device capable of containing, storing, communicating, propagating, or transmitting the program 111 for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of a computer-readable storage medium 113 include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable optical disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, and any suitable combinations thereof. Therefore, those skilled in the art will recognize that although numerous exemplary embodiments of the invention have been shown and described in detail herein, many other variations or modifications conforming to the principles of the invention can be directly identified or derived from the disclosure of the invention without departing from the spirit and scope of the invention. Thus, the scope of the invention should be understood and recognized as covering all such other variations or modifications.

Claims

1. A method for predicting the power generation of a photovoltaic power generation system, characterized in that... include: Obtain the construction requirements and constraints of the photovoltaic power generation system, and adjust the construction requirements according to the photovoltaic construction constraints; The construction requirements mentioned therein include economic indicators, performance indicators, power quality indicators, and safety requirements. The photovoltaic construction constraints include installation restrictions, grid connection constraints, and compliance constraints. Search the preset photovoltaic system design library for alternative design schemes that meet the construction requirements; Extract the adjustable parameters from the alternative design schemes; A design adjustment interface is generated and output based on the adjustable parameters, and the design adjustment interface includes an adjustment interface for adjusting the adjustable parameters. In response to the input information from the adjustment interface, a design model is generated; The design model is simulated and calculated to obtain the expected power generation data of the photovoltaic power generation system; The steps for obtaining the construction requirements of the photovoltaic power generation system include: collecting terrain feature information and meteorological feature information of the location where the photovoltaic power generation system will be built; generating the construction requirements of the photovoltaic power generation system based on the terrain feature information and meteorological feature information; and The steps for obtaining the photovoltaic construction constraints of the photovoltaic power generation system include: determining the installation restrictions in the photovoltaic construction constraints based on the terrain feature information; obtaining the power grid environment of the location to be constructed, and determining the grid access constraints in the photovoltaic construction constraints based on the power grid environment; obtaining the surrounding facility information of the location to be constructed, and identifying the compliance constraints in the photovoltaic construction constraints based on the surrounding facility information.

2. The power generation prediction method for a photovoltaic power generation system according to claim 1, wherein, The step of extracting adjustable parameters from the alternative design schemes includes: Determine the types of photovoltaic equipment to be selected from the alternative design schemes; Query the equipment parameters and installation parameters of the photovoltaic equipment; The adjustable parameters are obtained by filtering the adjustable parts of the equipment parameters and the installation parameters.

3. The photovoltaic power generation prediction method according to claim 2, wherein, The step of filtering the adjustable portions of the equipment parameters and the installation parameters includes: Obtain the compatibility relationships between the various photovoltaic devices described above; Determine the parameter constraints based on the aforementioned coordination relationship; The adjustable portions of the equipment parameters and installation parameters are filtered using the aforementioned parameter constraints.

4. The power generation prediction method for a photovoltaic power generation system according to claim 2, wherein, The step of generating and outputting the design adjustment interface based on the adjustable parameters includes: Each of the adjustable parameters is treated as a form item in a dynamic form; The form items are sorted according to a preset sorting strategy to obtain the layout of the dynamic form; Generate the design adjustment interface corresponding to the dynamic form.

5. The power generation prediction method for a photovoltaic power generation system according to claim 1, characterized in that, The step of collecting terrain feature information of the location where the photovoltaic power generation system will be built includes: Obtain a digital elevation model of the location to be constructed, which is established using pre-collected terrain data; The digital elevation model is used to identify the topography of the location to be constructed and to calculate the slope and aspect. The terrain features and slopes are organized into a preset data format as terrain feature information.

6. The power generation prediction method for a photovoltaic power generation system according to claim 1, characterized in that, The steps for collecting meteorological characteristic information of the location to be constructed for the photovoltaic power generation system include: Collect historical meteorological data for the location to be constructed; The meteorological characteristic information is obtained by extrapolating the historical meteorological data using a pre-established climate model.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the power generation prediction method for the photovoltaic power generation system as described in any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that... When the computer program is executed by the processor, it implements the steps of the power generation prediction method for the photovoltaic power generation system as described in any one of claims 1 to 6.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the power generation prediction method for the photovoltaic power generation system according to any one of claims 1 to 6.

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