Photovoltaic power generation scheduling system based on station loss analysis

Abstract

The application discloses a photovoltaic power generation scheduling system based on station loss analysis, which comprises a weather information acquisition module, a component information acquisition module, a power generation analysis module, a dust simulation module, an abnormality confirmation module and a scheduling module. The weather information acquisition module acquires weather data affecting the power generation of a photovoltaic component. The component information acquisition module detects operation data and actual power generation data of the photovoltaic component. The power generation analysis module calculates the theoretical power generation of the photovoltaic component by using the weather data and the operation data, and analyzes the actual power generation to generate a power generation analysis result. The dust simulation module simulates the degree of dust covering of the photovoltaic component based on the weather data and the operation data, and calculates effective area data at each moment. The abnormality confirmation module predicts the power generation of the photovoltaic component by using the actual effective area data, determines the operation state of the photovoltaic component in combination with the power generation analysis result, and generates a scheduling instruction. The scheduling module receives the instruction and sends a corresponding scheduling scheme to a manager. The application can realize the reduction of detection equipment, the simplification of an analysis process, the guarantee of analysis result accuracy, and timely scheduling operation of loss.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power generation technology, and more specifically to a photovoltaic power generation dispatching system based on field loss analysis. Background Technology

[0002] Solar energy is a clean, safe, and renewable energy source, holding a crucial position in long-term energy strategies. When estimating the output power of a photovoltaic (PV) power plant, factors such as temperature, dust and pollution, shading, module orientation and tilt angle, inverter efficiency, and cable losses must be considered. All of these factors can cause derating of PV power plants to varying degrees, leading to a loss of output power. The primary factor affecting power loss in PV power plants is atmospheric dust. Dust is a non-uniformly dispersed system composed of suspended particles in the air, varying across different regions. Furthermore, airflow is the driving force behind particle diffusion and migration. Because dust has different physical, chemical, and biological properties, its adhesion to PV modules is multifaceted, and the dust adhesion rate is also related to the installation angle of the PV modules.

[0003] However, in practical applications, photovoltaic module failure and dust accumulation are usually the two main factors that cause losses to the photovoltaic power station. In order to detect these two factors in a timely manner, existing technologies mostly involve installing detection devices inside and on the surface of photovoltaic modules to analyze the factors causing losses to the power station separately. This approach involves a complex analysis process, requires a large initial investment, and is not conducive to the economic operation of photovoltaic power stations.

[0004] Therefore, how to provide a photovoltaic power generation dispatching system based on field loss analysis that can reduce the amount of detection equipment, simplify the analysis process, ensure the accuracy of analysis results, and promptly dispatch losses has become a problem to be solved in this field. Summary of the Invention

[0005] To address the above problems, the present invention provides the following technical solution:

[0006] A photovoltaic power generation dispatching system based on station loss analysis includes:

[0007] The meteorological information acquisition module is used to acquire meteorological data that affects the power generation of photovoltaic modules in the field.

[0008] The component information acquisition module is connected to each photovoltaic module in the power station and is used to detect the operating data and actual power generation data of each photovoltaic module.

[0009] The power generation analysis module, which is connected to the meteorological information acquisition module and the component information acquisition module, is used to calculate the ideal power generation data of each photovoltaic module within a preset time limit based on the detected meteorological data and operating data, and analyze the difference between the ideal power generation data and the actual power generation data to generate power generation analysis results.

[0010] The dust simulation module, which is connected to the meteorological information acquisition module and the component information acquisition module, is used to simulate the area of ​​dust covering the photovoltaic modules based on meteorological data and operational data, and calculate the actual effective area data of each photovoltaic module at each time.

[0011] An anomaly confirmation module, which is connected to the power generation analysis module and the dust simulation module, is used to predict the power generation of each photovoltaic module based on the actual effective area data, determine the operating status of each photovoltaic module in combination with the power generation analysis results, and generate corresponding scheduling instructions.

[0012] The scheduling module, which is connected to the anomaly confirmation module, is used to receive scheduling instructions and send corresponding scheduling plans to the management personnel according to the scheduling instructions.

[0013] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on station loss analysis, the meteorological information acquisition module includes:

[0014] Light intensity detection unit, which is used to detect the light intensity data of the station on that day;

[0015] Dust concentration detection unit, which is used to detect the dust concentration data of the site on that day;

[0016] The wind detection unit is used to detect wind direction and wind speed data at the site on a given day.

[0017] Temperature and humidity detection unit, which is used to detect the temperature and humidity data of the site on that day.

[0018] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on site loss analysis, the component information acquisition module includes:

[0019] Rated power acquisition unit, which is used to acquire the rated power data of each photovoltaic module in the power station;

[0020] Ideal area acquisition unit, which is used to acquire the ideal effective area data of each photovoltaic module in the site under the condition of not being shaded;

[0021] The actual power generation detection unit is set at the output end of each photovoltaic module to detect the actual power generation data of each photovoltaic module.

[0022] An angle acquisition unit is installed on each photovoltaic module to acquire the angle data of each photovoltaic module.

[0023] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on station loss analysis, the power generation analysis module includes:

[0024] An ideal power generation calculation unit, which is connected to the light intensity detection unit, the rated power acquisition unit and the ideal area acquisition unit, is used to substitute the detected rated power data, ideal effective area data and the solar light intensity data of each photovoltaic module into the preset ideal power generation calculation model to calculate the ideal power generation E0 within the preset time limit.

[0025] An actual power generation confirmation unit, which is connected to the actual power generation detection unit, is used to obtain the actual power generation Et detected by the actual power generation detection unit within the preset time limit;

[0026] The difference calculation unit is connected to the ideal power generation calculation unit and the actual power generation confirmation unit, and is used to calculate the difference value δE between the actual power generation Et and the ideal power generation E0 within the preset time limit.

[0027] An anomaly confirmation unit is connected to the difference calculation unit; the anomaly confirmation unit has a preset difference standard range, compares the difference value δE with the difference standard range, and generates power generation analysis results based on the comparison results.

[0028] When the difference value δE exceeds the difference standard range, the generated power generation analysis result is considered to be an abnormal power generation.

[0029] When the difference value δE does not exceed the difference standard range, the power generation analysis result is considered to be normal.

[0030] Preferably, in the photovoltaic power generation dispatch system based on the above-mentioned site loss analysis, the preset ideal power generation calculation model is E0=P0*S0*G*T;

[0031] Where T is the preset time limit, G is the irradiance data, S0 is the ideal effective area data, P0 is the rated power data, and E0 is the ideal power generation within the preset time limit T.

[0032] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on station loss analysis, the dust simulation module includes:

[0033] An adhesion acquisition unit, which is connected to the dust concentration detection unit, the wind speed detection unit and the temperature and humidity detection unit, is used to calculate the dust adhesion data for the day based on the dust concentration data, wind speed data, temperature data and humidity data for the day;

[0034] An adhesion amount acquisition unit, which is connected to the adhesion force acquisition unit, the wind force detection unit and the angle acquisition unit, is used to calculate the amount of dust that can be accumulated on the surface of each photovoltaic module per unit time based on dust adhesion force data, wind direction data and angle data of each photovoltaic module.

[0035] An actual area calculation unit, which is connected to the attachment amount acquisition unit and the ideal area acquisition unit, is used to calculate the actual effective area data St.

[0036] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on site loss analysis, the calculation process of the actual effective area data includes:

[0037] The actual effective area data St = S0 - (X*T); where S0 is the ideal effective area data of the photovoltaic module, X is the amount of dust that can be accumulated on the surface of the photovoltaic module per unit time, T is the preset time limit, and St is the actual effective area data of the surface of the photovoltaic module within the preset time limit T.

[0038] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on station loss analysis, the anomaly confirmation module includes:

[0039] The time acquisition unit is used to acquire the time difference between the initial moment of illumination and the current moment.

[0040] The data input unit, which is connected to the time acquisition unit, the actual power generation confirmation unit, and the actual area calculation unit, is used to input the time difference as a preset time limit T into the preset ideal power generation calculation model to calculate the ideal power generation E0 of each photovoltaic module before the current moment; and to input the time difference as a preset time limit T into the actual area calculation unit to calculate the actual effective area data St of each photovoltaic module at the current moment.

[0041] The first analysis unit, which is connected to the anomaly confirmation unit, is used to obtain the power generation analysis results; when the power generation analysis results indicate a power generation anomaly, a judgment instruction is generated.

[0042] The second analysis unit, which is connected to the first analysis unit, the actual power generation confirmation unit, and the actual area calculation unit, is used to substitute the effective area data St at the current moment into the preset ideal power generation calculation model when a judgment instruction is received, calculate the predicted ideal power generation E1 of each photovoltaic module before the current moment; compare the difference between the predicted ideal power generation E1 and the actual power generation Et, and generate the operation analysis results.

[0043] When Et≥E1, the analysis result is generated as the component dust coverage, and the actual effective area data St of the photovoltaic module is inserted into the result;

[0044] When Et < E1, the generated runtime analysis result is a component / equipment failure;

[0045] An instruction generation unit, connected to the second analysis unit, is used to receive the results of the operation analysis and generate scheduling instructions in a hierarchical manner.

[0046] When the operation analysis result received by the instruction generation unit is that the component is covered with dust, a first-level scheduling instruction is generated;

[0047] When the operation analysis result received by the instruction generation unit indicates a component device failure, a secondary scheduling instruction is generated.

[0048] Preferably, in the above-mentioned photovoltaic power generation dispatch system based on site loss analysis, the dispatch module includes:

[0049] An instruction receiving unit, connected to the instruction generating unit, is used to receive scheduling instructions and generate corresponding alarm information. When the instruction receiving unit receives a first-level scheduling instruction, it sends the actual effective area data St and the location information of the photovoltaic module it carries as alarm information to the terminal device of the management personnel. When the instruction receiving unit receives a second-level scheduling instruction, it sends the location information of the photovoltaic module it carries as alarm information to the terminal device of the management personnel.

[0050] The terminal device is connected to the instruction receiving unit and is carried by the administrator; when the terminal device receives alarm information, it classifies the alarm information and prioritizes the alarm information that does not carry actual effective area data St.

[0051] Preferably, in the above-mentioned photovoltaic power generation dispatching system based on station loss analysis, the dispatching module further includes:

[0052] Upon receiving a first-level scheduling instruction, the photovoltaic module's power generation is automatically reduced, and this power is sent as rated power data P0 to the ideal power generation calculation unit to participate in the calculation of the ideal power generation at the next moment.

[0053] As can be seen from the above technical solution, the beneficial effects of this application compared with the prior art are as follows:

[0054] This invention discloses a photovoltaic power generation dispatching system based on site loss analysis, comprising: a meteorological information acquisition module to acquire weather data affecting the power generation of photovoltaic modules; a module information acquisition module to detect the operating data and actual power generation data of photovoltaic modules; a power generation analysis module to calculate the theoretical power generation of photovoltaic modules using meteorological and operating data, and analyze it with the actual power generation to generate power generation analysis results; a dust simulation module to simulate the degree of dust coverage on photovoltaic modules based on meteorological and operating data, and calculate the effective area data at each time; an anomaly confirmation module to predict the power generation of photovoltaic modules through the actual effective area data, determine its operating status by combining the power generation analysis results, and generate dispatch instructions; and a dispatching module to receive the instructions and send the corresponding dispatching plan to the management personnel. This invention reduces the amount of detection equipment, simplifies the analysis process, ensures the accuracy of the analysis results, and enables timely dispatching operations to address losses.

[0055] Overall, the system utilizes multiple modules to acquire and analyze meteorological, operational, and power generation data, and simulates dust coverage on photovoltaic modules to achieve monitoring and scheduling of these modules. Through analysis of the results and scheduling plans, managers can better manage photovoltaic power plants and improve power generation efficiency. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0057] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0060] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0061] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0062] In one embodiment, see Figure 1 A photovoltaic power generation dispatching system based on station loss analysis includes:

[0063] The meteorological information acquisition module is used to acquire meteorological data that affects the power generation of photovoltaic modules in the field.

[0064] The component information acquisition module is connected to each photovoltaic module in the power station and is used to detect the operating data and actual power generation data of each photovoltaic module.

[0065] The power generation analysis module, which is connected to the meteorological information acquisition module and the component information acquisition module, is used to calculate the ideal power generation data of each photovoltaic module within a preset time limit based on the detected meteorological data and operational data, and analyze the difference between the ideal power generation data and the actual power generation data to generate power generation analysis results.

[0066] The dust simulation module, which is connected to the meteorological information acquisition module and the component information acquisition module, is used to simulate the area of ​​dust covering the photovoltaic modules based on meteorological data and operational data, and calculate the actual effective area data of each photovoltaic module at each time.

[0067] The anomaly confirmation module, which is connected to the power generation analysis module and the dust simulation module, is used to predict the power generation of each photovoltaic module based on the actual effective area data, determine the operating status of each photovoltaic module in combination with the power generation analysis results, and generate corresponding scheduling instructions.

[0068] The scheduling module, which is connected to the anomaly confirmation module, is used to receive scheduling instructions and send corresponding scheduling plans to the management personnel according to the scheduling instructions.

[0069] The principle of the above embodiment is as follows: The meteorological information acquisition module is responsible for acquiring meteorological data affecting the power generation of photovoltaic modules in the field, such as light intensity, temperature, humidity, wind direction, and wind speed; the module information acquisition module, connected to the photovoltaic modules, collects the operating data and actual power generation data of each photovoltaic module, such as rated power and angle; the power generation analysis module inputs the data from the meteorological information acquisition module and the module information acquisition module into itself, calculates and analyzes the ideal power generation data of each photovoltaic module within a preset time limit, compares it with the actual power generation data, and generates power generation analysis results; the dust simulation module uses meteorological information and module operating data to simulate the dust coverage area on the photovoltaic modules and calculates the actual effective area data of each photovoltaic module at different times; the anomaly confirmation module, connected to the power generation analysis module and the dust simulation module, predicts the power generation of each photovoltaic module based on the actual effective area data, and determines the operating status of each photovoltaic module in combination with the power generation analysis results, generating corresponding scheduling instructions; the scheduling module, connected to the anomaly confirmation module, receives the scheduling instructions, generates corresponding scheduling schemes according to the instructions, and sends scheduling information to the management personnel.

[0070] The beneficial effects of the above embodiments are as follows: through power generation analysis and dust simulation, the system can accurately assess the causes of power generation loss in photovoltaic modules and provide optimization solutions to maximize the power generation efficiency of photovoltaic power plants; by collecting and analyzing meteorological data, module operation data, and dust coverage in real time, the system can monitor the status of photovoltaic modules in real time, predict changes in power generation, and make scheduling decisions in advance; it can automatically generate scheduling instructions and send them to management personnel to realize automated scheduling and management of photovoltaic power plants, reduce manual intervention, and improve operating efficiency.

[0071] To further optimize the above technical solution, please refer to Figure 1 A photovoltaic power generation dispatching system based on station loss analysis includes a meteorological information acquisition module:

[0072] Light intensity detection unit, which is used to detect the light intensity data of the station on that day;

[0073] Dust concentration detection unit, which is used to detect the dust concentration data of the site on that day;

[0074] The wind detection unit is used to detect wind direction and wind speed data at the site on a given day.

[0075] Temperature and humidity detection unit, which is used to detect the temperature and humidity data of the site on that day.

[0076] It should be noted that the light intensity detection unit can accurately detect the light intensity data of the site on that day, the dust concentration detection unit can obtain the dust concentration data of the site on that day, the wind force detection unit can obtain the wind direction and wind speed data of the site on that day, and the temperature and humidity detection unit can obtain the temperature and humidity data of the site on that day. These data are important factors affecting the power generation of photovoltaic modules. By accurately obtaining these data, power generation analysis and scheduling operations can be effectively carried out.

[0077] To further optimize the above technical solution, please refer to Figure 1 A photovoltaic power generation dispatching system based on field loss analysis, comprising a component information acquisition module including:

[0078] Rated power acquisition unit, which is used to acquire the rated power data of each photovoltaic module in the power station;

[0079] Ideal area acquisition unit, which is used to acquire the ideal effective area data of each photovoltaic module in the site under the condition of not being shaded;

[0080] The actual power generation detection unit is set at the output end of each photovoltaic module to detect the actual power generation data of each photovoltaic module.

[0081] An angle acquisition unit is installed on each photovoltaic module to acquire the angle data of each photovoltaic module.

[0082] It should be noted that this embodiment obtains accurate rated power data, determines ideal effective area data, monitors actual power generation in real time, and obtains angle data for analysis. These data can be used as a benchmark for calculating ideal power generation and comparing it with actual power generation. Furthermore, based on the fact that the orientation and tilt angle of photovoltaic modules affect their light reception, the orientation of photovoltaic modules can be analyzed by obtaining angle data to further assess the reasons for power generation loss.

[0083] To further optimize the above technical solution, please refer to Figure 1 A photovoltaic power generation dispatching system based on power station loss analysis, the power generation analysis module includes:

[0084] The ideal power generation calculation unit is connected to the irradiance detection unit, the rated power acquisition unit and the ideal area acquisition unit. It is used to substitute the detected rated power data, ideal effective area data and the solar irradiance data of each photovoltaic module into the preset ideal power generation calculation model to calculate the ideal power generation E0 within the preset time limit.

[0085] The actual power generation confirmation unit is connected to the actual power generation detection unit and is used to obtain the actual power generation Et detected by the actual power generation detection unit within a preset time limit.

[0086] The difference calculation unit, which is connected to the ideal power generation calculation unit and the actual power generation confirmation unit, is used to calculate the difference value δE between the actual power generation Et and the ideal power generation E0 within the preset time limit.

[0087] An anomaly confirmation unit is connected to the difference calculation unit. The anomaly confirmation unit has a preset difference standard range. It compares the difference value δE with the difference standard range and generates power generation analysis results based on the comparison results.

[0088] When the difference value δE exceeds the difference standard range, the generated power generation analysis result is considered to be an abnormal power generation.

[0089] When the difference value δE does not exceed the difference standard range, the generated power generation analysis result is normal power generation;

[0090] It should be noted that the preset ideal power generation calculation model is E0=P0*S0*G*T; where T is the preset time limit, G is the solar intensity data, S0 is the ideal effective area data, P0 is the rated power data, and E0 is the ideal power generation within the preset time limit T.

[0091] In this embodiment, the ideal power generation calculation unit substitutes the irradiance data, rated power data, and ideal effective area data into the preset ideal power generation calculation model, which can accurately calculate the ideal power generation E0 of each photovoltaic module within a preset time limit. This provides accurate reference data for subsequent power generation analysis. The anomaly confirmation unit presets a difference standard range. By comparing the difference value δE with the difference standard range, it can determine whether the power generation is abnormal. When the difference value δE exceeds the difference standard range, the power generation analysis result is generated as abnormal; when the difference value δE does not exceed the difference standard range, the power generation analysis result is generated as normal. This can quickly confirm whether there is an abnormality in the power generation, providing a basis for power generation anomaly early warning and scheduling decisions.

[0092] To further optimize the above technical solution, please refer to Figure 1 A photovoltaic power generation dispatching system based on station loss analysis, the dust simulation module includes:

[0093] The adhesion acquisition unit is connected to the dust concentration detection unit, wind speed detection unit, and temperature and humidity detection unit, and is used to calculate the dust adhesion data for the day based on the dust concentration data, wind speed data, temperature data, and humidity data for that day.

[0094] The adhesion amount acquisition unit, which is connected to the adhesion force acquisition unit, the wind force detection unit and the angle acquisition unit, is used to calculate the amount of dust that can be accumulated on the surface of each photovoltaic module per unit time based on the dust adhesion force data, wind direction data and the angle data of each photovoltaic module.

[0095] The actual area calculation unit, which is connected to the attachment amount acquisition unit and the ideal area acquisition unit, is used to calculate the actual effective area data St;

[0096] It should be noted that the calculation process for the actual effective area data includes:

[0097] Actual effective area data St=S0-(X*T); where S0 is the ideal effective area data of the photovoltaic module, X is the amount of dust that can be accumulated on the surface of the photovoltaic module per unit time, T is the preset time limit, and St is the actual effective area data of the surface of the photovoltaic module within the preset time limit T.

[0098] In this embodiment, the calculation principle of adhesion force and adhesion amount is based on existing technology. By acquiring dust adhesion force and adhesion amount data, the actual effective area data is accurately calculated, providing an accurate data foundation. By calculating the actual effective area, the impact of dust on the power generation of photovoltaic modules can be assessed, helping to identify and solve energy loss problems caused by dust accumulation. The use of the dust simulation module allows managers to understand the dust coverage on the surface of photovoltaic modules in a timely manner, thereby better formulating maintenance plans and cleaning schedules, and improving operation and maintenance efficiency. Through the actual effective area data provided by the dust simulation module, power generation prediction and optimized scheduling can be performed to maximize the power generation potential of photovoltaic modules, improve the overall efficiency of the power plant, help optimize power generation prediction, assist in anomaly confirmation and scheduling decisions, thereby improving the power generation efficiency and reliability of photovoltaic power plants.

[0099] To further optimize the above technical solution, please refer to Figure 1 A photovoltaic power generation dispatching system based on power station loss analysis includes an anomaly confirmation module:

[0100] The time acquisition unit is used to acquire the time difference between the initial moment of illumination and the current moment.

[0101] The data input unit, which is connected to the time acquisition unit, the actual power generation confirmation unit, and the actual area calculation unit, is used to input the time difference as a preset time limit T into the preset ideal power generation calculation model to calculate the ideal power generation E0 of each photovoltaic module before the current moment; and to input the time difference as a preset time limit T into the actual area calculation unit to calculate the actual effective area data St of each photovoltaic module at the current moment.

[0102] The first analysis unit, which is connected to the anomaly confirmation unit, is used to obtain the power generation analysis results; when the power generation analysis results indicate an anomaly in power generation, a judgment instruction is generated.

[0103] The second analysis unit, which is connected to the first analysis unit, the actual power generation confirmation unit, and the actual area calculation unit, is used to substitute the effective area data St at the current moment into the preset ideal power generation calculation model when a judgment instruction is received, calculate the predicted ideal power generation E1 of each photovoltaic module before the current moment; compare the difference between the predicted ideal power generation E1 and the actual power generation Et, and generate the operation analysis results.

[0104] When Et≥E1, the analysis result is generated as the component dust coverage, and the actual effective area data St of the photovoltaic module is inserted into the result;

[0105] When Et < E1, the generated runtime analysis result is a component / equipment failure;

[0106] The instruction generation unit, which is connected to the second analysis unit, is used to receive the results of the operation analysis and generate scheduling instructions in a hierarchical manner.

[0107] When the instruction generation unit receives the operation analysis result that the component is covered with dust, it generates a first-level scheduling instruction;

[0108] When the operation analysis result received by the instruction generation unit indicates a component device failure, a secondary scheduling instruction is generated.

[0109] It should be noted that when Et≥E1, it indicates that there is dust on the surface of the photovoltaic module, but the dust coverage is lower than or equal to the predicted amount, and a first-level dispatch instruction is generated; when Et<E1, it indicates that there is dust on the surface of the photovoltaic module and there may be a photovoltaic module equipment failure, which will lead to the actual power being lower than the predicted value, and a second-level dispatch instruction is generated. It can be seen that the second-level dispatch instruction is more important than the first-level dispatch instruction. This embodiment can determine abnormal power generation conditions in real time, generate operation analysis results and provide corresponding dispatch instructions; it helps to quickly discover and deal with abnormal conditions in the photovoltaic power generation system, so as to minimize power generation losses and improve the stability and performance of the system.

[0110] To further optimize the above technical solution, please refer to Figure 1A photovoltaic power generation dispatching system based on power station loss analysis, the dispatching module includes:

[0111] The instruction receiving unit, connected to the instruction generating unit, is used to receive scheduling instructions and generate corresponding alarm information. When the instruction receiving unit receives a first-level scheduling instruction, it sends the actual effective area data St and the location information of the photovoltaic module as alarm information to the terminal device of the management personnel. When the instruction receiving unit receives a second-level scheduling instruction, it sends the location information of the photovoltaic module as alarm information to the terminal device of the management personnel.

[0112] The terminal device is connected to the instruction receiving unit and carried by the administrator. When the terminal device receives alarm information, it classifies the alarm information and prioritizes the alarm information that does not carry the actual effective area data St.

[0113] It should be noted that this embodiment enables managers to promptly obtain information on abnormal power generation status and equipment failures, allowing them to pay closer attention to situations requiring photovoltaic module cleaning or maintenance, as well as emergency situations involving equipment failures. By receiving alarm information through terminal devices, managers can immediately take corresponding measures to minimize power generation losses and ensure the normal operation of the photovoltaic power generation system.

[0114] To further optimize the above technical solution, please refer to Figure 1 A photovoltaic power generation dispatching system based on power station loss analysis, the dispatching module further includes:

[0115] Upon receiving a first-level dispatch instruction, the photovoltaic module's power generation is automatically reduced, and this power is sent as rated power data P0 to the ideal power generation calculation unit to participate in the calculation of the ideal power generation at the next moment.

[0116] It should be noted that this embodiment can effectively address the needs of abnormal power generation status or cleaning and maintenance of photovoltaic modules, so as to minimize the power generation loss caused by abnormal operation; it can ensure the accuracy of the calculation of the ideal power generation at the next moment, and update the rated power data according to the reduced actual power generation, so that the calculation results are more in line with the actual situation; by dynamically adjusting the power generation, it can maximize the normal operation of the photovoltaic power generation system, improve power generation efficiency and stability, and thus improve the accuracy of power generation calculation and the optimization effect of scheduling decisions.

[0117] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0118] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0119] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0120] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A photovoltaic power generation dispatching system based on station loss analysis, characterized in that, include: The meteorological information acquisition module is used to acquire meteorological data that affects the power generation of photovoltaic modules in the field. The component information acquisition module is connected to each photovoltaic module in the power station and is used to detect the operating data and actual power generation data of each photovoltaic module. The power generation analysis module, which is connected to the meteorological information acquisition module and the component information acquisition module, is used to calculate the ideal power generation data of each photovoltaic module within a preset time limit based on the detected meteorological data and operating data, and analyze the difference between the ideal power generation data and the actual power generation data to generate power generation analysis results. The dust simulation module, which is connected to the meteorological information acquisition module and the component information acquisition module, is used to simulate the area of ​​dust covering the photovoltaic modules based on meteorological data and operational data, and calculate the actual effective area data of each photovoltaic module at each time. An anomaly confirmation module, which is connected to the power generation analysis module and the dust simulation module, is used to predict the power generation of each photovoltaic module based on the actual effective area data, determine the operating status of each photovoltaic module in combination with the power generation analysis results, and generate corresponding scheduling instructions. A scheduling module, connected to the anomaly confirmation module, is used to receive scheduling instructions and send corresponding scheduling plans to management personnel according to the scheduling instructions; wherein, the meteorological information acquisition module includes: Light intensity detection unit, which is used to detect the light intensity data of the station on that day; Dust concentration detection unit, which is used to detect the dust concentration data of the site on that day; The wind detection unit is used to detect wind direction and wind speed data at the site on a given day. Temperature and humidity detection unit, which is used to detect the temperature and humidity data of the station on that day; The component information acquisition module includes: Rated power acquisition unit, which is used to acquire the rated power data of each photovoltaic module in the power station; Ideal area acquisition unit, which is used to acquire the ideal effective area data of each photovoltaic module in the site under the condition of not being shaded; The actual power generation detection unit is set at the output end of each photovoltaic module to detect the actual power generation data of each photovoltaic module. An angle acquisition unit, which is installed on each photovoltaic module, is used to acquire the angle data of each photovoltaic module; The power generation analysis module includes: An ideal power generation calculation unit, which is connected to the light intensity detection unit, the rated power acquisition unit and the ideal area acquisition unit, is used to substitute the detected rated power data, ideal effective area data and the solar light intensity data of each photovoltaic module into the preset ideal power generation calculation model to calculate the ideal power generation E0 within the preset time limit. An actual power generation confirmation unit, which is connected to the actual power generation detection unit, is used to obtain the actual power generation Et detected by the actual power generation detection unit within the preset time limit; The difference calculation unit is connected to the ideal power generation calculation unit and the actual power generation confirmation unit, and is used to calculate the difference value δE between the actual power generation Et and the ideal power generation E0 within the preset time limit. An anomaly confirmation unit is connected to the difference calculation unit; the anomaly confirmation unit has a preset difference standard range, compares the difference value δE with the difference standard range, and generates power generation analysis results based on the comparison results. When the difference value δE exceeds the difference standard range, the generated power generation analysis result is considered to be an abnormal power generation. When the difference value δE does not exceed the difference standard range, the generated power generation analysis result is normal power generation; The preset ideal power generation calculation model is E0=P0*S0*G*T; Where T is the preset time limit, G is the irradiance data, S0 is the ideal effective area data, P0 is the rated power data, and E0 is the ideal power generation within the preset time limit T. The dust simulation module includes: An adhesion acquisition unit, which is connected to the dust concentration detection unit, the wind speed detection unit and the temperature and humidity detection unit, is used to calculate the dust adhesion data for the day based on the dust concentration data, wind speed data, temperature data and humidity data for the day; An adhesion amount acquisition unit, which is connected to the adhesion force acquisition unit, the wind force detection unit and the angle acquisition unit, is used to calculate the amount of dust that can be accumulated on the surface of each photovoltaic module per unit time based on dust adhesion force data, wind direction data and angle data of each photovoltaic module. An actual area calculation unit, which is connected to the attachment amount acquisition unit and the ideal area acquisition unit, is used to calculate the actual effective area data St; The calculation process for the actual effective area data includes: The actual effective area data St = S0 - (X*T); where S0 is the ideal effective area data of the photovoltaic module, X is the amount of dust that can be accumulated on the surface of the photovoltaic module per unit time, T is the preset time limit, and St is the actual effective area data of the surface of the photovoltaic module within the preset time limit T.

2. The photovoltaic power generation dispatching system based on station loss analysis according to claim 1, characterized in that, The anomaly confirmation module includes: The time acquisition unit is used to acquire the time difference between the initial moment of illumination and the current moment. The data input unit, which is connected to the time acquisition unit, the actual power generation confirmation unit, and the actual area calculation unit, is used to input the time difference as a preset time limit T into the preset ideal power generation calculation model to calculate the ideal power generation E0 of each photovoltaic module before the current moment; and to input the time difference as a preset time limit T into the actual area calculation unit to calculate the actual effective area data St of each photovoltaic module at the current moment. The first analysis unit, which is connected to the anomaly confirmation unit, is used to obtain the power generation analysis results; when the power generation analysis results indicate a power generation anomaly, a judgment instruction is generated. The second analysis unit, which is connected to the first analysis unit, the actual power generation confirmation unit, and the actual area calculation unit, is used to substitute the effective area data St at the current moment into the preset ideal power generation calculation model when a judgment instruction is received, calculate the predicted ideal power generation E1 of each photovoltaic module before the current moment; compare the difference between the predicted ideal power generation E1 and the actual power generation Et, and generate the operation analysis results. When Et≥E1, the analysis result is generated as the component dust coverage, and the actual effective area data St of the photovoltaic module is inserted into the result; When Et < E1, the generated runtime analysis result is a component / equipment failure; An instruction generation unit, connected to the second analysis unit, is used to receive the results of the operation analysis and generate scheduling instructions in a hierarchical manner. When the operation analysis result received by the instruction generation unit is that the component is covered with dust, a first-level scheduling instruction is generated; When the operation analysis result received by the instruction generation unit indicates a component device failure, a secondary scheduling instruction is generated.

3. A photovoltaic power generation dispatching system based on station loss analysis according to claim 2, characterized in that, The scheduling module includes: An instruction receiving unit, connected to the instruction generating unit, is used to receive scheduling instructions and generate corresponding alarm information. When the instruction receiving unit receives a first-level scheduling instruction, it sends the actual effective area data St and the location information of the photovoltaic module it carries as alarm information to the terminal device of the management personnel. When the instruction receiving unit receives a second-level scheduling instruction, it sends the location information of the photovoltaic module it carries as alarm information to the terminal device of the management personnel. The terminal device is connected to the instruction receiving unit and is carried by the administrator; when the terminal device receives alarm information, it classifies the alarm information and prioritizes the alarm information that does not carry actual effective area data St.

4. A photovoltaic power generation dispatching system based on station loss analysis according to claim 3, characterized in that, The scheduling module also includes: Upon receiving a first-level scheduling instruction, the photovoltaic module's power generation is automatically reduced, and this power is sent as rated power data P0 to the ideal power generation calculation unit to participate in the calculation of the ideal power generation at the next moment.

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