A photovoltaic power generation harmonic comprehensive treatment method and system
By generating photovoltaic power generation information maps and conducting harmonic assessments, the problem of harmonic pollution in photovoltaic power generation systems was solved, thereby improving the safety and stability of the power grid and the efficiency of the photovoltaic system.
Patent Information
- Application Number
- CN202511233279.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-01
- Publication Date
- 2025-11-04
- Estimated Expiration
- 2045-09-01
AI Technical Summary
Harmonic pollution generated during the grid connection of photovoltaic power generation systems leads to grid safety and stability issues. In particular, the harmonic distortion rate exceeds the standard under low power operation or sudden changes in light intensity, affecting grid line loss, transformer heating, and the reliability of relay protection devices.
By generating photovoltaic power generation information maps, harmonic assessments are conducted to identify sites that do not meet harmonic standards, and recommended optimization methods are generated for them. Dynamic management and optimization are then carried out using information modules, harmonic analysis modules, and governance assistance modules.
This has enabled comprehensive management of harmonics in photovoltaic power generation, improved power quality and system stability, and promoted the efficient operation and large-scale development of photovoltaic power generation.
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Figure CN120709997B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of photovoltaic power generation harmonic control, and specifically relates to a photovoltaic power generation harmonic comprehensive control method and system. BACKGROUND
[0002] Under the background of large-scale grid connection of photovoltaic power generation, harmonic pollution has become a key technical bottleneck restricting the safe and stable operation of the power grid and the performance improvement of the photovoltaic system. At present, as the core power electronic equipment, the photovoltaic inverter causes significant harmonic components in the output current due to high-frequency switching action, especially under low-power operation or sudden light change conditions, the total harmonic distortion (THD) may exceed the national standard limit, causing voltage waveform distortion and power factor drop. Such harmonics not only aggravate the line loss and transformer heating of the power grid, but also may cause overload damage to the capacitor compensation device through resonance amplification effect, and even interfere with the sensitivity and reliability of the relay protection device, threatening the overall safety of the power system.
[0003] Based on this, in order to realize comprehensive control of photovoltaic power generation harmonics, the application provides a photovoltaic power generation harmonic comprehensive control method and system. SUMMARY
[0004] In order to solve the problems existing in the above-mentioned scheme, the application provides a photovoltaic power generation harmonic comprehensive control method and system.
[0005] The purpose of the application can be achieved by the following technical solutions:
[0006] A photovoltaic power generation harmonic comprehensive control method, comprising:
[0007] Generating a photovoltaic power generation information map of a target area, the photovoltaic power generation information map being used to count the power generation information of each photovoltaic power station in the target area, the power generation information including position information of the photovoltaic power station, photovoltaic device information, and harmonic processing information;
[0008] Performing harmonic evaluation on each photovoltaic power station according to the photovoltaic power generation information map to obtain a harmonic evaluation result, the harmonic evaluation result including harmonic evaluation qualified and harmonic evaluation unqualified; marking the photovoltaic power station with the harmonic evaluation result being harmonic evaluation unqualified as a to-be-optimized power station;
[0009] Generating a corresponding recommended optimization mode for the to-be-optimized power station, and guiding the to-be-optimized power station to perform harmonic optimization processing according to the recommended optimization mode.
[0010] Further, the generation of the photovoltaic power generation information map comprises:
[0011] Obtaining grid connection records of photovoltaic power generation grid connection in the target area, and identifying photovoltaic power stations in the target area in real time according to the grid connection records;
[0012] The power generation information of each photovoltaic power station is identified, and the photovoltaic power generation information map of the target area is generated according to the power generation information of each photovoltaic power station.
[0013] Further, the harmonic evaluation of each photovoltaic power station is performed according to the photovoltaic power generation information map, including:
[0014] The harmonic feature of the photovoltaic power station is obtained according to the photovoltaic power generation information map; a harmonic evaluation model is established, and the expression of the harmonic evaluation model is:
[0015] ;
[0016] In the formula, s is the harmonic feature, the output data is the harmonic evaluation value PX(s), and the harmonic evaluation value is 1 or 0;
[0017] The harmonic feature is analyzed by the harmonic evaluation model to obtain the corresponding harmonic evaluation value;
[0018] When the harmonic evaluation value is 1, the harmonic evaluation result is harmonic evaluation qualified;
[0019] When the harmonic evaluation value is 0, the harmonic evaluation result is harmonic evaluation unqualified.
[0020] Further, the harmonic feature is obtained, including:
[0021] The power generation information of the photovoltaic power station is identified according to the photovoltaic power generation information map, and the reference case is matched according to the power generation information;
[0022] The harmonic feature corresponding to the reference case is identified, and the harmonic feature is taken as the harmonic feature of the photovoltaic power station.
[0023] Further, the power generation information is calibrated.
[0024] Further, the harmonic feature is obtained, including:
[0025] The power generation information of the corresponding photovoltaic power station is identified according to the photovoltaic power generation information map, and the photovoltaic power station is classified according to the power generation information to obtain a plurality of photovoltaic classifications;
[0026] The corresponding reference case is matched for each photovoltaic power station in the photovoltaic classification, the harmonic condition of each photovoltaic power station is obtained in real time, the harmonic feature of the corresponding photovoltaic power station is obtained according to the harmonic condition and the reference case, and the harmonic feature is marked as a harmonic reference feature;
[0027] A photovoltaic power station is selected as a reference power station from the photovoltaic classification, the reference power station is monitored for harmonics to obtain harmonic characteristics corresponding to the harmonic conditions; the harmonic reference characteristics of the harmonic conditions of the photovoltaic power station in the photovoltaic classification are corrected according to the harmonic conditions, the harmonic characteristics and the harmonic reference characteristics of the reference power station, and the harmonic characteristics of the corresponding photovoltaic power station are obtained.
[0028] Further, the photovoltaic power station is classified according to the power generation information, including:
[0029] The reference case corresponding to the photovoltaic power station is matched according to the power generation information; the harmonic conditions of the photovoltaic power station are preset, the reference case is identified according to the harmonic conditions, and the harmonic characteristics corresponding to the corresponding harmonic conditions are obtained; and each harmonic characteristic is integrated into a classification characteristic set of the photovoltaic power station.
[0030] The similarity between each classification characteristic set is calculated, and whether the corresponding photovoltaic power stations meet the classification requirements is judged according to the similarity; the photovoltaic power stations meeting the classification requirements are classified into a class, and the same is true for the other photovoltaic power stations, and a plurality of photovoltaic classifications are obtained.
[0031] Further, a corresponding recommended optimization mode is generated for the to-be-optimized power station, including:
[0032] An optimization mode library is established, and the optimization mode library is used to store reserve optimization modes, and the reserve optimization modes are used to optimize the harmonic influence of the photovoltaic power station;
[0033] The to-be-optimized power station is matched and analyzed according to the optimization mode library, the reserve optimization mode meeting the matching requirements is obtained, and the reserve optimization mode is marked as a to-be-selected optimization mode; the to-be-selected optimization mode is screened to obtain a recommended optimization mode.
[0034] Further, the to-be-selected optimization mode is screened, including:
[0035] The harmonic optimization value and the optimization cost of the to-be-selected optimization mode are estimated, and the harmonic optimization value and the optimization cost are marked as XB and CB respectively;
[0036] The harmonic optimization value and the optimization cost are substituted into a preset screening formula to calculate the screening value of the corresponding to-be-selected optimization mode,
[0037] The recommended optimization mode is selected according to the screening value.
[0038] Further, the screening formula is:
[0039] ;
[0040] In the formula, SP is the screening value, and e is a natural constant.
[0041] Further, the screening formula is:
[0042] ;
[0043] In the formula: SP is a screening value; e is a natural constant; X1 is a threshold value.
[0044] A photovoltaic power generation harmonic comprehensive treatment system, comprising an information module, a harmonic analysis module and a treatment auxiliary module.
[0045] The information module is used to generate a photovoltaic power generation information map of a target area and dynamically update the photovoltaic power generation information map.
[0046] The harmonic analysis module is used to perform harmonic evaluation on each photovoltaic power station according to the photovoltaic power generation information map, obtain a harmonic evaluation result, and determine a to-be-optimized power station according to the harmonic evaluation result.
[0047] The treatment auxiliary module is used to generate a corresponding recommended optimization mode for the to-be-optimized power station and guide the to-be-optimized power station to perform harmonic optimization processing according to the recommended optimization mode.
[0048] Compared with the prior art, the beneficial effects of the present application are:
[0049] For the key technical bottleneck of harmonic pollution under the background of large-scale grid-connected photovoltaic power generation, the present application can dynamically control the harmonic influence in the region according to the management requirements, improve the management ability of photovoltaic power generation harmonics, realize the comprehensive treatment of photovoltaic power generation harmonics, improve the power quality of the photovoltaic system through comprehensive harmonic treatment, improve the efficiency and stability of photovoltaic power generation, and help to improve the overall efficiency of the photovoltaic system. This is of great significance for promoting the large-scale development of photovoltaic power generation industry and improving the proportion of renewable energy in the energy structure. BRIEF DESCRIPTION OF DRAWINGS
[0050] 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 prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0051] Figure 1 The method flowchart of the present application. DETAILED DESCRIPTION
[0052] The technical solutions of the present application will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part 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 work fall within the scope of the present application.
[0053] As shown in the figure, a photovoltaic power generation harmonic comprehensive treatment method comprises: Figure 1
[0054] A target area is determined, and the target area is a distribution network area that needs to be subjected to photovoltaic power generation harmonic comprehensive treatment. A grid-connected record of photovoltaic power generation grid connection in the target area is obtained, and the grid-connected record is used to identify photovoltaic power stations in the target area in real time. Individual photovoltaic power generation grid connection is also regarded as a photovoltaic power station. Generation information of each photovoltaic power station is identified, and the generation information mainly includes photovoltaic device information, position, and harmonic treatment information. The harmonic treatment information mainly includes a harmonic treatment method and related information such as equipment. A photovoltaic power generation information map of the target area is generated according to the generation information of each photovoltaic power station.
[0055] Harmonic evaluation of each photovoltaic power station is performed according to the photovoltaic power generation information map, and it is determined whether the harmonic treatment of the corresponding photovoltaic power station meets a preset standard. A corresponding harmonic evaluation result is obtained, and the harmonic evaluation result includes harmonic evaluation qualified and harmonic evaluation unqualified.
[0056] Photovoltaic power stations with a harmonic evaluation result of harmonic evaluation unqualified are marked as to-be-optimized power stations, indicating that harmonic treatment optimization is needed.
[0057] A corresponding recommended optimization method is generated for the to-be-optimized power station, and the to-be-optimized power station is guided to perform harmonic optimization treatment according to the recommended optimization method. A warning is given to a manager, and each to-be-optimized power station and the recommended optimization method are displayed, so that the manager guides and requires the to-be-optimized power station to perform harmonic optimization treatment according to requirements.
[0058] In one embodiment, harmonic evaluation of each photovoltaic power station according to the photovoltaic power generation information map can be performed based on an existing method, such as manual detection of the harmonic condition, and then it is determined whether the preset standard is met.
[0059] In one embodiment, harmonic evaluation of each photovoltaic power station according to the photovoltaic power generation information map comprises:
[0060] Harmonic characteristics of the corresponding photovoltaic power station are obtained according to the photovoltaic power generation information map. The harmonic characteristics are grid-connected harmonic characteristics of the photovoltaic power station, such as a voltage harmonic total distortion rate.
[0061] A harmonic evaluation model is established, and the expression of the harmonic evaluation model is:
[0062] ;
[0063] In the formula, s is input data, a harmonic feature, and a preset standard can be set according to an international standard, a domestic standard, or a user self-set standard; the output data is a harmonic evaluation value PX(s), and the harmonic evaluation value is 1 or 0; the historical harmonic feature and the preset standard are used for training;
[0064] The corresponding harmonic evaluation value is obtained by analyzing the corresponding harmonic feature through the harmonic evaluation model;
[0065] When the harmonic evaluation value is 1, the harmonic evaluation result is harmonic evaluation qualified;
[0066] When the harmonic evaluation value is 0, the harmonic evaluation result is harmonic evaluation unqualified.
[0067] In one embodiment, the harmonic feature is obtained by:
[0068] According to the photovoltaic power generation information diagram, the power generation information of the corresponding photovoltaic power station is identified, the reference case is matched according to the power generation information, the reference case is a grid-connected case with real harmonic data that is the same as or similar to the photovoltaic equipment information and harmonic processing information in the power generation information; the harmonic feature corresponding to the reference case is identified, and the harmonic feature is taken as the harmonic feature of the photovoltaic power station.
[0069] In one embodiment, in order to determine the accuracy of the power generation information, the power generation information of each photovoltaic power station can be calibrated to avoid the submission of false information by the corresponding personnel; specifically, a plurality of ways can be used for calibration.
[0070] In one embodiment, the harmonic feature is obtained by:
[0071] According to the photovoltaic power generation information diagram, the power generation information of the corresponding photovoltaic power station is identified, the reference case is matched according to the power generation information, the reference case is a grid-connected case with real harmonic data that is the same as or similar to the photovoltaic equipment information and harmonic processing information in the power generation information; the harmonic feature corresponding to the reference case is identified, and the harmonic feature is taken as the harmonic feature of the photovoltaic power station.
[0072] The corresponding reference case is matched for each photovoltaic power station in the photovoltaic classification, and the harmonic condition of each photovoltaic power station is obtained in real time; the harmonic feature of the corresponding photovoltaic power station is obtained according to the harmonic condition and the reference case, and the harmonic feature is marked as a harmonic reference feature;
[0073] A photovoltaic power station is selected as a reference power station from the photovoltaic classification, harmonic monitoring is performed on the reference power station, and harmonic characteristics corresponding to the harmonic conditions are obtained, that is, corresponding harmonic monitoring devices are installed at the reference power station or the original harmonic monitoring devices at the reference power station are used for monitoring; the harmonic reference characteristics of the harmonic conditions of other photovoltaic power stations in the photovoltaic classification are corrected according to the harmonic conditions, harmonic characteristics and harmonic reference characteristics of the reference power station, and the harmonic characteristics of the corresponding photovoltaic power station are obtained. That is, the harmonic characteristics and harmonic reference characteristics of the reference power station under the corresponding harmonic conditions are used to determine the corresponding adjustment relationship, and then the harmonic reference characteristics of other photovoltaic power stations under the harmonic conditions are corrected; generally, an intelligent correction model is established by using intelligent algorithms such as deep learning algorithms and machine learning algorithms, a training set is established for training, and analysis is performed through the intelligent correction model after training is successful.
[0074] In one embodiment, a photovoltaic power station is selected as a reference power station from the photovoltaic classification, and is selected in the direction of low cost and convenient harmonic monitoring, such as selecting a photovoltaic power station with harmonic monitoring equipment as the reference power station; the selection is specifically made according to the needs of management personnel.
[0075] In one embodiment, the photovoltaic power stations are classified according to the power generation information, and photovoltaic power stations with the same or similar power generation information are classified into one category, and the classification can also be based on existing classification methods, such as classification based on clustering algorithms.
[0076] In one embodiment, the photovoltaic power stations are classified according to the power generation information, and photovoltaic power stations with the same or similar power generation information are classified into one category, and the classification can also be based on existing classification methods, such as classification based on clustering algorithms.
[0077] The reference cases corresponding to the photovoltaic power stations are matched according to the power generation information; the harmonic conditions of the photovoltaic power stations are preset, the harmonic conditions are dynamic conditions that will cause harmonic changes, such as light conditions, grid asymmetry faults, inverter parallel operation, etc., the reference cases are identified according to the harmonic conditions, and the harmonic characteristics corresponding to the corresponding harmonic conditions are obtained; each harmonic characteristic is integrated into a classification characteristic set of the photovoltaic power station; the harmonic characteristics in the classification characteristic set are sorted in the order corresponding to the harmonic conditions, so as to facilitate subsequent calculation of the similarity of the corresponding positions;
[0078] The similarity between each classification characteristic set is calculated, and whether the corresponding photovoltaic power stations meet the classification requirements is judged according to the similarity; if the similarity is not less than the preset value, it is considered that the classification requirements are met;
[0079] The photovoltaic power stations that meet the classification requirements are classified into one category, and the same is true for other photovoltaic power stations, and a plurality of photovoltaic classifications are obtained.
[0080] In one embodiment, a corresponding recommended optimization mode is generated for the to-be-optimized power station, including:
[0081] establish an optimization mode library, the optimization mode library is used to store various optimization modes suitable for harmonic processing of photovoltaic power stations, and the optimization modes are marked as reserve optimization modes;
[0082] According to the optimization mode library, the to-be-optimized power station is analyzed for matching, and a reserve optimization mode that meets the matching requirements of the to-be-optimized power station is obtained, that is, it is determined according to the optimization part of the corresponding reserve optimization mode whether the optimization effect can be obtained in the photovoltaic power station, and the harmonic evaluation result of the optimized reserve optimization mode is a qualified harmonic evaluation; the matched reserve optimization mode is marked as a to-be-selected optimization mode;
[0083] The to-be-selected optimization mode is screened to obtain a recommended optimization mode.
[0084] In one embodiment, according to the optimization mode library, the to-be-optimized power station is analyzed for matching, which can be matched by using existing analysis methods, such as using intelligent algorithms such as machine learning to establish a corresponding effect evaluation model for intelligent analysis; or using technologies such as digital twinning to establish a corresponding digital twin for simulation analysis; there are various ways to determine whether the corresponding reserve optimization mode meets the matching requirements of the to-be-optimized power station.
[0085] In one embodiment, the to-be-selected optimization mode is screened, including:
[0086] The harmonic optimization value and the optimization cost of the to-be-selected optimization mode are estimated, the harmonic optimization value is the estimated harmonic reduction degree, such as reducing the total harmonic distortion rate (THDi) of harmonic current from 12% to 3.5%, then the harmonic optimization value = (12-3.5) / 12; the harmonic optimization value is determined according to the effect analysis method in the above embodiment; the optimization cost is the cost required to implement the to-be-selected optimization mode;
[0087] The harmonic optimization value and the optimization cost are marked as XB and CB respectively;
[0088] The harmonic optimization value and the optimization cost are substituted into a preset screening formula to calculate the screening value of the corresponding to-be-selected optimization mode, and the screening formula is:
[0089] ;
[0090] In the formula: SP is the screening value; e is a natural constant;
[0091] According to the screening value, a recommended optimization mode is selected, such as selecting the to-be-selected optimization mode with the maximum screening value as the recommended optimization mode; or the to-be-selected optimization modes are sorted according to the screening value, and a plurality of to-be-selected optimization modes are selected as recommended optimization modes.
[0092] In one embodiment, the screening formula is:
[0093] ;
[0094] In the formula, SP is a screening value; e is a natural constant; X1 is a threshold value, representing the maximum optimization cost that the to-be-optimized power station can accept, which can be set by the corresponding manager and the to-be-optimized power station, or can be intelligently set according to the scale of the to-be-optimized power station.
[0095] In one embodiment, the corresponding recommended optimization mode is generated for the to-be-optimized power station, and the recommended optimization mode can be generated based on the existing mode.
[0096] A photovoltaic power generation harmonic comprehensive treatment system, comprising an information module, a harmonic analysis module and a treatment auxiliary module.
[0097] The information module is configured to generate a photovoltaic power generation information map of a target area, and dynamically update the photovoltaic power generation information map.
[0098] The harmonic analysis module is configured to perform harmonic evaluation on each photovoltaic power station according to the photovoltaic power generation information map, obtain a harmonic evaluation result, and determine a to-be-optimized power station according to the harmonic evaluation result.
[0099] The treatment auxiliary module is configured to generate a corresponding recommended optimization mode for the to-be-optimized power station, and guide the to-be-optimized power station to perform harmonic optimization processing according to the recommended optimization mode.
[0100] The above formulas are all dimensionless values, and the formulas are obtained by software simulation of a large amount of data to obtain a formula closest to the actual situation, and the preset parameters and the preset threshold in the formula are set by a person skilled in the art according to the actual situation or obtained by a large amount of data simulation.
[0101] The above embodiments are only used to illustrate the technical method of the present application and are not limiting, and although the present application has been 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 comprehensive treatment method, characterized in that, The method comprises the following steps: generating a photovoltaic power generation information map of a target area, the photovoltaic power generation information map being used to count power generation information of each photovoltaic power station in the target area, the power generation information comprising position information of the photovoltaic power station, photovoltaic device information, and harmonic processing information; obtaining harmonic characteristics of the photovoltaic power station according to the photovoltaic power generation information map; establishing a harmonic evaluation model, analyzing the harmonic characteristics through the harmonic evaluation model, obtaining corresponding harmonic evaluation values, determining a harmonic evaluation result according to the harmonic evaluation values, the harmonic evaluation result comprising harmonic evaluation qualified and harmonic evaluation unqualified, and marking the photovoltaic power station with the harmonic evaluation result being harmonic evaluation unqualified as a to-be-optimized power station; generating a corresponding recommended optimization mode for the to-be-optimized power station, and guiding the to-be-optimized power station to perform harmonic optimization processing according to the recommended optimization mode; the obtaining of the harmonic characteristics comprises the following steps: identifying power generation information of the corresponding photovoltaic power station according to the photovoltaic power generation information map, classifying the photovoltaic power stations according to the power generation information, and obtaining a plurality of photovoltaic classifications; matching a corresponding reference case for each photovoltaic power station in the photovoltaic classifications, and obtaining harmonic conditions of each photovoltaic power station in real time; obtaining harmonic characteristics of the corresponding photovoltaic power station according to the harmonic conditions and the reference case, and marking the harmonic characteristics as harmonic reference characteristics; 2. The photovoltaic power generation harmonic comprehensive treatment method according to claim 1, characterized in that, selecting a photovoltaic power station from the photovoltaic classifications as a benchmark power station, performing harmonic monitoring on the benchmark power station, obtaining harmonic characteristics of the corresponding harmonic conditions, and correcting harmonic reference characteristics of the harmonic conditions of the photovoltaic power stations in the photovoltaic classifications according to the harmonic conditions, the harmonic characteristics, and the harmonic reference characteristics of the benchmark power station, to obtain harmonic characteristics of the corresponding photovoltaic power station. The generation of the photovoltaic power generation information map comprises the following steps: obtaining grid-connected records of photovoltaic power generation grid connection in the target area, and identifying photovoltaic power stations in the target area in real time according to the grid-connected records; 3. The photovoltaic power generation harmonic comprehensive treatment method according to claim 1, characterized in that, identifying power generation information of each photovoltaic power station, and generating a photovoltaic power generation information map of the target area according to the power generation information of each photovoltaic power station. ; An expression of the harmonic evaluation model is as follows: In the formula, s is the harmonic characteristics, the output data is a harmonic evaluation value PX(s), and the harmonic evaluation value is 1 or 0; when the harmonic evaluation value is 1, the harmonic evaluation result is harmonic evaluation qualified; 4. The photovoltaic power generation harmonic comprehensive treatment method according to claim 3, characterized in that, when the harmonic evaluation value is 0, the harmonic evaluation result is harmonic evaluation unqualified. The obtaining of the harmonic characteristics comprises the following steps: identifying power generation information of the photovoltaic power station according to the photovoltaic power generation information map, and matching a reference case according to the power generation information; 5. The photovoltaic power generation harmonic comprehensive treatment method according to claim 2, characterized in that, identifying harmonic characteristics corresponding to the reference case, and taking the harmonic characteristics as the harmonic characteristics of the photovoltaic power station.
6. The photovoltaic power generation harmonic comprehensive treatment method according to claim 1, characterized in that, The power generation information is calibrated. The classification of the photovoltaic power station according to the power generation information comprises the following steps: matching a corresponding reference case for the photovoltaic power station according to the power generation information, presetting harmonic conditions of the photovoltaic power station, identifying characteristics of the reference case according to the harmonic conditions, obtaining harmonic characteristics corresponding to the corresponding harmonic conditions, and integrating each harmonic characteristic into a classification characteristic set of the photovoltaic power station. Similarities between each classification feature set are calculated, and whether the photovoltaic power stations meet the classification requirements is determined according to the similarities; the photovoltaic power stations meeting the classification requirements are classified into a category, and the above process is repeated to obtain a plurality of photovoltaic classifications.
7. The photovoltaic power generation harmonic comprehensive treatment method according to claim 1, characterized in that, A recommended optimization mode is generated for the to-be-optimized power station, including: An optimization mode library is established, which is used to store reserve optimization modes for optimizing the harmonic influence of the photovoltaic power station; The to-be-optimized power station is matched and analyzed according to the optimization mode library to obtain a reserve optimization mode meeting the matching requirements, and the reserve optimization mode is marked as a to-be-selected optimization mode; the to-be-selected optimization mode is screened to obtain a recommended optimization mode.
8. The photovoltaic power generation harmonic comprehensive treatment method according to claim 1, characterized in that, The screening formula is: ; In the formula, SP is the screening value, e is a natural constant, XB is the harmonic optimization value, and CB is the optimization cost.
9. A photovoltaic power generation harmonic comprehensive treatment system, characterized in that, A photovoltaic power harmonic comprehensive treatment method according to any one of claims 1 to 8 is executed, including an information module, a harmonic analysis module, and a treatment assistance module; The information module is used to generate a photovoltaic power information map of a target area and dynamically update the photovoltaic power information map; The harmonic analysis module is used to perform harmonic evaluation on each photovoltaic power station according to the photovoltaic power information map to obtain a harmonic evaluation result, and determine a to-be-optimized power station according to the harmonic evaluation result; The treatment assistance module is used to generate a corresponding recommended optimization mode for the to-be-optimized power station and guide the to-be-optimized power station to perform harmonic optimization processing according to the recommended optimization mode.
Citation Information
Patent Citations
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CN115603309A
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CN118818205A
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CN119602233A