A photovoltaic power generation harmonic analysis processing system

Abstract

The application discloses a photovoltaic power generation harmonic analysis processing system and belongs to the technical field of photovoltaic power generation harmonic processing. The system comprises a regional information module, a harmonic monitoring module, a harmonic analysis module and a regional harmonic management module. The regional information module is used for real-time arrangement of photovoltaic power station information in a target region to generate a regional information graph. The target region is divided into a plurality of analysis regions according to the regional information graph. The harmonic monitoring module is used for harmonic monitoring to obtain comprehensive harmonic monitoring data. The harmonic analysis module is used for harmonic analysis of each photovoltaic power station according to the comprehensive harmonic monitoring data to obtain harmonic evaluation results of the photovoltaic power stations. The photovoltaic power stations are processed according to the harmonic evaluation results. The regional harmonic management module is used for harmonic management analysis of each analysis region, harmonic evaluation of the analysis regions according to expected harmonic data and obtaining of regional harmonic evaluation results. The analysis regions are processed according to the regional harmonic evaluation results.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of photovoltaic power generation harmonic processing, and specifically relates to a photovoltaic power generation harmonic analysis and processing system. BACKGROUND

[0002] As a clean and sustainable energy form, photovoltaic power generation has been widely promoted and applied. However, in the process of converting direct current into alternating current, power electronic devices such as inverters in the photovoltaic power generation system will generate harmonic currents and voltages. These harmonics not only reduce power quality, but also may interfere with other devices in the power grid, even cause device failure or power grid accidents. Specifically, harmonics will cause voltage and current waveform distortion, reduce power quality, affect user's power experience, and a large amount of harmonic injection into the power grid may cause resonance, leading to power grid voltage fluctuation, and even causing power grid collapse.

[0003] Therefore, it has important practical significance and application value to develop a photovoltaic power generation harmonic analysis and processing system with good overall governance and system compatibility. Based on this, the application provides a photovoltaic power generation harmonic analysis and processing system. SUMMARY

[0004] In order to solve the problems existing in the above scheme, the application provides a photovoltaic power generation harmonic analysis and processing system.

[0005] The purpose of the application can be achieved by the following technical solutions:

[0006] A photovoltaic power generation harmonic analysis and processing system, comprising a regional information module, a harmonic monitoring module, a harmonic analysis module and a regional harmonic management module.

[0007] The regional information module is used for real-time sorting of photovoltaic power station information in a target region, generating a regional information map, wherein the regional information map comprises information of each photovoltaic power station in the target region; and the target region is divided into a plurality of analysis regions according to the regional information map, and the analysis regions are marked in the regional information map.

[0008] Further, the target region is divided into a plurality of analysis regions according to the regional information map, comprising:

[0009] The analysis region conditions are determined, the simulation division is performed according to the analysis region conditions, and a plurality of simulation division modes are obtained.

[0010] The simulation division modes are screened, a target division mode is determined, the target region is divided according to the target division mode, and a plurality of analysis regions are obtained.

[0011] Further, the simulation division modes are screened, comprising:

[0012] The photovoltaic power stations in the target region are divided into cooperative estimation power stations and reference power stations according to whether harmonic monitoring can be directly performed;

[0013] The simulation division is performed according to the simulation division mode, and the estimation accuracy of the first harmonic monitoring data of the corresponding cooperative estimation power station is estimated;

[0014] The implementation cost corresponding to each simulation division mode is estimated, the priority value of the corresponding simulation division mode is calculated according to a preset priority value formula, and the target division mode is determined according to the priority value.

[0015] Further, the priority value formula is:

[0016] ;

[0017] In the formula, YQ is the priority value, and CB is the implementation cost.

[0018] The harmonic monitoring module is used for harmonic monitoring to obtain comprehensive harmonic monitoring data, and the comprehensive harmonic monitoring data includes first harmonic monitoring data, second harmonic monitoring data and third harmonic monitoring data.

[0019] Further, the first harmonic monitoring data, the second harmonic monitoring data and the third harmonic monitoring data are harmonic monitoring data of photovoltaic power stations, analysis regions and target regions, respectively.

[0020] Further, the photovoltaic power stations in the analysis region are divided into cooperative estimation power stations and reference power stations according to whether harmonic monitoring can be directly performed, the cooperative estimation power stations are analyzed, and the first harmonic monitoring data of the cooperative estimation power stations is obtained.

[0021] Further, the analysis of the cooperative estimation power station includes:

[0022] The condition acquisition item is set, and the harmonic condition data of the photovoltaic power station is obtained in real time according to the condition acquisition item;

[0023] The second harmonic monitoring data of the analysis region corresponding to the harmonic estimation power station and the first harmonic monitoring data of the reference power station in the analysis region are identified, and the second harmonic monitoring data, the first harmonic monitoring data of each reference power station and the harmonic condition data are integrated into harmonic estimation data;

[0024] The harmonic estimation data is analyzed according to a preset harmonic estimation model, and the first harmonic monitoring data of the cooperative estimation power station is obtained.

[0025] The harmonic analysis module is used for harmonic analysis of each photovoltaic power station according to the comprehensive harmonic monitoring data, and the harmonic evaluation result of the photovoltaic power station is obtained; and the photovoltaic power station is processed according to the harmonic evaluation result.

[0026] Further, according to the comprehensive harmonic monitoring data, the harmonic analysis is performed on each photovoltaic power station, including:

[0027] According to the comprehensive harmonic monitoring data, the first harmonic monitoring data of the corresponding photovoltaic power station is identified; the regional information map is acquired, and the corresponding harmonic standard is configured for the corresponding photovoltaic power station according to the regional information map; and the first harmonic monitoring data is calibrated according to the harmonic standard, so that the harmonic evaluation result of the photovoltaic power station is obtained.

[0028] Further, the calibration of the first harmonic monitoring data according to the harmonic standard includes:

[0029] A calibration model is established, and the expression of the calibration model is:

[0030] ;

[0031] In the formula, (S, XA) is input data, S is the first harmonic monitoring data, and XA is the harmonic standard; S→XA indicates that the corresponding first harmonic monitoring data meets the harmonic standard, and the output data is the calibration value JP(S, XA), and the calibration value is 1 or 0;

[0032] The first harmonic monitoring data and the harmonic standard of the corresponding photovoltaic power station are analyzed through the calibration model, so that the calibration value of the corresponding photovoltaic power station is obtained.

[0033] When the calibration value is 1, the harmonic evaluation result is harmonic processing qualified;

[0034] When the calibration value is 1, the harmonic evaluation result is harmonic processing unqualified.

[0035] The regional harmonic management module is used for performing harmonic management analysis on each analysis region, acquiring the expected harmonic data of the analysis region by the management personnel, performing harmonic evaluation on the analysis region according to the expected harmonic data, and obtaining the corresponding regional harmonic evaluation result.

[0036] When the regional harmonic evaluation result meets the expected harmonic data, no subsequent analysis is performed.

[0037] When the regional harmonic evaluation result does not meet the expected harmonic data, the corresponding expected solution is acquired; the feasibility of the expected solution is evaluated, the expected solution meeting the feasibility requirement is marked as a recommended solution, and the recommended solution is sent to the corresponding management personnel.

[0038] Compared with the prior art, the beneficial effects of the present application are:

[0039] Through mutual cooperation between the regional information module, the harmonic monitoring module, the harmonic analysis module and the regional harmonic management module, the harmonic monitoring of each photovoltaic power station in the target region is realized, and the harmonic monitoring precision of the photovoltaic power station is improved; through comprehensive management of the harmonic, the distortion degree of the voltage and current waveform can be greatly reduced, the output alternating current is ensured to be closer to the ideal sine waveform, thereby the power quality is significantly improved, more stable and pure power supply is provided for users, and the power experience of the users is greatly improved; and the harmonic analysis simulation can be performed according to the expected demand, and the deficiencies and solutions are determined. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description only represent some of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0041] Figure 1 The present application is a schematic diagram of the principles. DETAILED DESCRIPTION

[0042] The technical solutions of the present application will be described in detail below in combination with embodiments. Obviously, the described embodiments only represent some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0043] As shown in Figure 1 A photovoltaic power harmonic analysis processing system includes a regional information module, a harmonic monitoring module, a harmonic analysis module and a regional harmonic management module.

[0044] The regional information module is used to arrange the photovoltaic power station information in the target region, generate a regional information map, and the regional information map is used to visually display the photovoltaic power station information in the target region in the form of a graph. The position, power generation data, grid-connected data and other related data of the photovoltaic power station can be quickly understood through the regional information map, and quick access can be performed according to the corresponding link. The target region is divided into a plurality of analysis regions according to the regional information map, and the analysis regions are marked correspondingly in the regional information map.

[0045] For example, real-time identification of each photovoltaic power station information in the target area, the photovoltaic power station information includes position, photovoltaic device information, and data accessible at the relevant data access position; generate an initial information map according to the position of the photovoltaic power station corresponding to the photovoltaic power station information, that is, mark the position of the corresponding photovoltaic power station in the map, represent the photovoltaic power station with a corresponding module model, and form an initial information map; then supplement the corresponding access link for the photovoltaic power station in the initial information map according to the photovoltaic power station information, so as to facilitate quick reading or retrieval of the corresponding relevant data of the photovoltaic power station; finally, make corresponding adjustments according to display requirements, such as display form, beautification, etc.; mark the initial information map as a regional information map.

[0046] The target area is divided into a plurality of analysis regions, which are mainly divided according to the influence of each photovoltaic power station on the power grid quality of the corresponding region, the grid connection, the regional harmonic detection, the coupling relationship, etc. The target area can be divided based on existing clustering algorithms, etc. An intelligent model can also be established and trained based on deep learning algorithms, machine learning, etc. The intelligent model is used for intelligent division.

[0047] In one embodiment, the target area is divided into a plurality of analysis regions, including:

[0048] The analysis region conditions are determined, such as electrical coupling, harmonic propagation characteristics, etc. The condition description of electrical coupling: the photovoltaic power stations in the region need to access the power grid through the same or adjacent grid nodes (such as 10kV / 35kV bus), forming an electrical coupling relationship; the region boundary needs to be consistent with the voltage level partition or feeder topology of the power grid to avoid ignoring the harmonic propagation across regions; for example, if a region contains three photovoltaic power stations, all of which are connected to the same 10kV bus of a 110kV substation, they can be divided into the same region; the condition description of harmonic propagation characteristics: the second harmonic monitoring data (such as harmonic voltage and impedance of the point of common coupling (PCC)) in the region need to represent the harmonic background environment of all photovoltaic power stations in the region; the region boundary needs to avoid strong interference from harmonic sources (such as large industrial loads), otherwise it needs to be further subdivided; the specific settings are made by professionals.

[0049] According to the analysis region conditions, the simulation division is performed to obtain a plurality of simulation division modes, that is, different division modes that meet the analysis region conditions are regarded as simulation division modes; the simulation division modes are screened to determine a target division mode, and the target area is divided according to the target division mode to obtain a plurality of analysis regions; the corresponding harmonic monitoring devices are installed for the analysis regions for harmonic monitoring of the analysis regions.

[0050] In one embodiment, the simulation division modes are screened based on existing methods.

[0051] In one embodiment, the simulation division mode is screened, including:

[0052] The implementation cost corresponding to each simulation division mode is estimated, such as the need for harmonic monitoring of each analysis area, the need to install corresponding harmonic monitoring devices, the establishment of subsequent harmonic estimation models, etc. The cost is estimated according to the existing cost estimation method. According to the following embodiment, the estimation mode of the first harmonic monitoring data of the power station is simulated and analyzed, and the estimation precision of each cooperative estimation power station is estimated according to the simulation division mode.

[0053] The cooperative estimation power station is marked as i, i = 1, 2, …, n, and n is the number of cooperative estimation power stations. The estimation precision of the corresponding cooperative estimation power station is marked as τ i .

[0054] The priority value of the corresponding simulation division mode is calculated according to the preset priority value formula, and the target division mode is determined according to the priority value.

[0055] In one embodiment, the priority value formula is:

[0056] ;

[0057] In the formula: YQ is the priority value; CB is the implementation cost.

[0058] In one embodiment, the priority value formula is:

[0059] ;

[0060] In the formula: YQ is the priority value; CB is the implementation cost; λ i represents the proportional coefficient of the corresponding cooperative estimation power station, 0 < λ i ≤ 1.

[0061] In one embodiment, the priority value formula is:

[0062] ;

[0063] In the formula: YQ is the priority value; CB is the implementation cost; λ i represents the proportional coefficient of the corresponding cooperative estimation power station, 0 < λ i ≤ 1; e is the natural constant.

[0064] The harmonic monitoring module is used for harmonic monitoring, and harmonic monitoring data of the photovoltaic power station, harmonic monitoring data of the analysis area and harmonic monitoring data of the target area are obtained respectively. In order to distinguish, they are marked as first harmonic monitoring data, second harmonic monitoring data and third harmonic monitoring data respectively. The first harmonic monitoring data, the second harmonic monitoring data and the third harmonic monitoring data are integrated into comprehensive harmonic monitoring data.

[0065] In an embodiment, the monitoring of the first harmonic monitoring data, the second harmonic monitoring data and the third harmonic monitoring data can be monitored by installing corresponding harmonic monitoring devices one by one, such as collecting the first harmonic monitoring data of the photovoltaic power station by a new smart meter with harmonic monitoring capability; or by other online harmonic monitoring devices for regional harmonic monitoring.

[0066] In an embodiment, in actual application, direct harmonic monitoring of some photovoltaic power stations can not be performed due to various reasons, such as the photovoltaic power station does not agree, the communication condition is poor, etc. For this case, in the present embodiment, the following way is adopted for analysis, including:

[0067] Marking the photovoltaic power stations in the analysis region that cannot directly perform harmonic monitoring as cooperative estimation power stations, and marking the photovoltaic power stations in the analysis region that can directly perform harmonic monitoring as reference power stations, that is, according to whether the photovoltaic power stations in the analysis region can directly perform harmonic monitoring, the photovoltaic power stations in the analysis region are divided into cooperative estimation power stations and reference power stations.

[0068] According to the harmonic generation of the photovoltaic power station, an impact term setting condition collection term is set, which is used to collect the harmonic condition data of the corresponding photovoltaic power station, such as inverter topology and control strategy, photovoltaic array characteristics, grid impedance and background harmonic, photovoltaic power station scale and layout, etc.; according to the preset condition collection term, the harmonic condition data of the corresponding photovoltaic power station is obtained in real time, such as inverter parameters, grid connection point impedance, photovoltaic capacity, etc.

[0069] Identify the second harmonic monitoring data of the harmonic estimation power station corresponding to the analysis region and the first harmonic monitoring data of the reference power station corresponding to the analysis region; integrate the second harmonic monitoring data, the first harmonic monitoring data of each reference power station and the harmonic condition data of each photovoltaic power station into harmonic estimation data; analyze the harmonic estimation data according to the preset harmonic estimation model to obtain the first harmonic monitoring data of the cooperative estimation power station.

[0070] In an embodiment, the harmonic estimation model is established based on existing methods, such as physical guidance based graph neural network, semi-supervised autoencoder, integrated learning and other existing algorithms.

[0071] Exemplarily, data preprocessing:

[0072] Feature engineering:

[0073] Harmonic condition data:

[0074] Inverter parameters: switching frequency, modulation strategy (SPWM / SVPWM), dead time;

[0075] Grid parameters: short circuit ratio (SCR), X / R ratio, background harmonic voltage at point of common coupling (PCC);

[0076] Operation data: photovoltaic capacity, power factor, DC side voltage ripple.

[0077] Second harmonic monitoring data: harmonic impedance matrix of regional grid, PCC harmonic voltage.

[0078] First harmonic monitoring data: THDi of monitored power stations, harmonic currents of each order (3rd, 5th, 7th, etc.).

[0079] Data alignment: synchronize all data by timestamp, sampling frequency recommended ≥ 1 / min (capture dynamic changes).

[0080] Normalization: Min-Max normalization for different dimensional features (such as voltage, impedance, capacity).

[0081] Select a physically guided graph neural network (PG-GNN);

[0082] Architecture design:

[0083] Input layer:

[0084] Node features: harmonic condition data of each photovoltaic power station (such as inverter parameters, capacity);

[0085] Edge features: grid connection relationship between power stations (represented by impedance matrix) and regional second harmonic data.

[0086] Graph convolution layer:

[0087] Aggregate harmonic characteristics of adjacent power stations through message passing mechanism, capture spatial correlation;

[0088] Introduce physical constraints (such as harmonic superposition principle) as regularization terms.

[0089] Time series layer:

[0090] Model temporal dependencies using LSTM or Transformer for dynamic data (such as photovoltaic output power).

[0091] Output layer:

[0092] Predict THDi and harmonic currents of unmonitored power stations (3rd, 5th, etc.).

[0093] Model training and verification

[0094] Training strategy:

[0095] Stage training: pre-train on monitored power station data, then fine-tune on unmonitored power station data;

[0096] Loss function: MSE (Mean Squared Error) + Physical constraint loss (e.g. harmonic superposition error).

[0097] Verification method:

[0098] Cross-validation: K-fold validation by grouping power stations (e.g. by geographical location);

[0099] Comparative experiment: compare the prediction accuracy with pure data-driven models (e.g. random forest), pure physical models (e.g. harmonic equivalent circuit).

[0100] Evaluation index:

[0101] MAE (Mean Absolute Error): reflects the absolute deviation of the predicted value from the true value;

[0102] R² (determination coefficient): measures the model's ability to explain harmonic changes;

[0103] Harmonic over-limit early warning accuracy: the accuracy of predicting values exceeding the threshold (e.g. THDi>5%).

[0104] The harmonic analysis module is used to analyze the harmonics of each photovoltaic power station according to the comprehensive harmonic monitoring data, determine whether the harmonic processing of the corresponding photovoltaic power station is qualified, and obtain the harmonic evaluation result; according to the harmonic evaluation result, the corresponding photovoltaic power station is processed accordingly, such as guiding harmonic control, etc.

[0105] In one embodiment, the harmonic analysis of each photovoltaic power station according to the comprehensive harmonic monitoring data includes:

[0106] According to the comprehensive harmonic monitoring data, the first harmonic monitoring data of the corresponding photovoltaic power station is identified; according to the regional information map, the corresponding first harmonic monitoring data is analyzed, i.e. whether the first harmonic monitoring data meets the harmonic standard under the photovoltaic power station information, such as the harmonic standard of total harmonic distortion rate 5%, the corresponding harmonic standard is matched for the corresponding photovoltaic power station according to the actual management requirements, i.e. the corresponding harmonic standard is configured for the corresponding photovoltaic power station according to the regional information map, the first harmonic monitoring data is calibrated according to the harmonic standard, and the harmonic evaluation result is determined.

[0107] The specific calibration process can be calibrated in the following way, including:

[0108] A calibration model is established, and the expression of the calibration model is:

[0109] ;

[0110] In the formula: (S, XA) is input data, S is first harmonic monitoring data, and XA is a harmonic standard; S→XA indicates that the corresponding first harmonic monitoring data meets the harmonic standard, and the output data is a calibration value JP(S, XA), which is 1 or 0; a corresponding training set can be set according to the input data and the output data for training;

[0111] The first harmonic monitoring data and the harmonic standard of the corresponding photovoltaic power station are analyzed by the calibration model to obtain a calibration value of the corresponding photovoltaic power station;

[0112] When the calibration value is 1, the harmonic evaluation result is that the harmonic treatment is qualified.

[0113] When the calibration value is 1, the harmonic evaluation result is that the harmonic treatment is unqualified.

[0114] Other calibration methods can also be used.

[0115] The regional harmonic management module is configured to perform harmonic management analysis on each analysis region, obtain expected harmonic data of the corresponding analysis region by a management personnel, that is, an expected standard of the harmonic of the analysis region, simulate according to planning requirements, that is, set expected harmonic data according to expectations, planning, etc., perform harmonic evaluation on the corresponding analysis region according to the expected harmonic data, judge whether the second harmonic monitoring data of the corresponding analysis region meets the expected harmonic data, and obtain a corresponding judgment result, which is marked as a regional harmonic evaluation result. The judgment can be performed in combination with existing technologies or a calibration model;

[0116] When the regional harmonic evaluation result meets the expected harmonic data, no subsequent analysis is performed.

[0117] When the regional harmonic evaluation result does not meet the expected harmonic data, an expected solution mode that meets the expected harmonic data is determined, such as power adjustment, power limiting, active harmonic compensation, and other solution modes that can achieve the expected harmonic data. The feasibility of the expected solution mode is evaluated, the expected solution mode that meets the feasibility requirement is marked as a recommended solution mode, and the recommended solution mode is sent to the corresponding management personnel.

[0118] In one embodiment, the generation of the expected solution mode and the feasibility evaluation of the expected solution mode can be realized by using existing methods; for example, an intelligent model is established by using a deep learning algorithm to perform analysis.

[0119] In one embodiment, the feasibility evaluation of the expected solution mode includes:

[0120] Obtaining a feasibility requirement of the management personnel on the corresponding analysis area, the feasibility requirement representing a requirement of the management personnel on an expected solution, such as no requirement, a solution cost, an implementation difficulty, and the like; evaluating the expected solution according to the feasibility requirement to determine a feasibility evaluation result.

[0121] The above formulas are calculated by removing the dimension and taking the numerical value, the formulas are obtained by collecting a large amount of data to simulate the closest real situation by software, and the preset parameters and the preset threshold in the formulas are set by a person skilled in the art according to the actual situation or obtained by a large amount of data simulation.

[0122] The above embodiments are only used to illustrate the technical method of the present application but not limit the present application, although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A photovoltaic power generation harmonic analysis processing system characterized by comprising: The regional information module, the harmonic monitoring module, the harmonic analysis module and the regional harmonic management module are included. The regional information module is used for real-time arrangement of photovoltaic power station information in a target region, and generates a regional information map, which includes information of each photovoltaic power station in the target region. The target region is divided into a plurality of analysis regions according to the regional information map, and the analysis regions are marked in the regional information map. The harmonic monitoring module is used for harmonic monitoring, and obtains comprehensive harmonic monitoring data, which includes first harmonic monitoring data, second harmonic monitoring data and third harmonic monitoring data. The harmonic analysis module is used for harmonic analysis of each photovoltaic power station according to the comprehensive harmonic monitoring data, and obtains harmonic evaluation results of the photovoltaic power station. The regional harmonic management module is used for harmonic management analysis of each analysis region, and obtains expected harmonic data of the analysis region by a manager. When the regional harmonic evaluation result meets the expected harmonic data, no subsequent analysis is performed. When the regional harmonic evaluation result does not meet the expected harmonic data, an expected solution is obtained, and the expected solution is evaluated for feasibility.

2. The photovoltaic power generation harmonic analysis processing system according to claim 1, characterized by, The expected solution that meets the feasibility requirement is marked as a recommended solution, and the recommended solution is sent to the corresponding manager. The target region is divided into a plurality of analysis regions according to the regional information map, including: An analysis region condition is determined, and the target region is simulated and divided according to the analysis region condition, to obtain a plurality of simulation division modes.

3. The photovoltaic power generation harmonic analysis processing system according to claim 2, characterized by, The simulation division mode is selected to determine a target division mode, and the target region is divided according to the target division mode to obtain a plurality of analysis regions. The simulation division mode is selected, including: The photovoltaic power stations in the target region are divided into cooperative estimation power stations and reference power stations according to whether the harmonic monitoring can be directly performed. The simulation division mode is simulated, and the estimation accuracy of the first harmonic monitoring data of the corresponding cooperative estimation power station is estimated.

4. The photovoltaic power generation harmonic analysis processing system according to claim 3, characterized by, The implementation cost of each simulation division mode is estimated, the priority value of the corresponding simulation division mode is calculated according to a preset priority value formula, and the target division mode is determined according to the priority value. ； In the formula, YQ is a priority value; CB is an implementation cost; i represents a co-estimated power station, i = 1, 2, …, n, n is the number of co-estimated power stations; τ i represents the estimation accuracy of the corresponding co-estimated power station.

5. The photovoltaic power generation harmonic analysis processing system according to claim 1, characterized by, The priority value formula is:

6. The photovoltaic power generation harmonic analysis processing system according to claim 1, characterized by, The photovoltaic power stations in the analysis region are divided into cooperative estimation power stations and reference power stations according to whether the harmonic monitoring can be directly performed, and the cooperative estimation power stations are analyzed to obtain the first harmonic monitoring data of the cooperative estimation power stations. The cooperative estimation power stations are analyzed, including: The harmonic condition data of the photovoltaic power station is obtained in real time according to the condition collection item. The second harmonic monitoring data of the analysis area corresponding to the harmonic prediction power station and the first harmonic monitoring data of the reference power station in the analysis area are identified; the second harmonic monitoring data, the first harmonic monitoring data of each reference power station and the harmonic condition data are integrated into harmonic prediction data; The harmonic prediction data are analyzed according to a preset harmonic prediction model, and the first harmonic monitoring data of the cooperative prediction power station are obtained.

7. The photovoltaic power generation harmonic analysis processing system according to claim 1, characterized by, The harmonic analysis of each photovoltaic power station according to the comprehensive harmonic monitoring data includes: The first harmonic monitoring data of the corresponding photovoltaic power station are identified according to the comprehensive harmonic monitoring data; a regional information map is obtained, and the corresponding harmonic standard is configured for the corresponding photovoltaic power station according to the regional information map; the first harmonic monitoring data are calibrated according to the harmonic standard, and the harmonic evaluation result of the photovoltaic power station is obtained.

8. The photovoltaic power generation harmonic analysis processing system according to claim 7, characterized by, The calibration of the first harmonic monitoring data according to the harmonic standard includes: A calibration model is established, and the expression of the calibration model is: ； In the formula: (S, XA) is input data, S is the first harmonic monitoring data, and XA is the harmonic standard; S→XA indicates that the corresponding first harmonic monitoring data meet the harmonic standard, and the output data is the calibration value JP(S, XA), and the calibration value is 1 or 0; The first harmonic monitoring data of the corresponding photovoltaic power station and the harmonic standard are analyzed through the calibration model, and the calibration value of the corresponding photovoltaic power station is obtained; When the calibration value is 1, the harmonic evaluation result is harmonic treatment qualified; When the calibration value is 1, the harmonic evaluation result is harmonic treatment unqualified.

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