Photovoltaic power station frequency adjusting method and system

Abstract

The invention provides a photovoltaic power station frequency adjusting method and system, and relates to the technical field of power grid control, and the method comprises the steps: 1, obtaining the operation data of a photovoltaic power station in the grid-connected and off-grid process in real time, and outputting the grid-connected and off-grid process data; 2, preprocessing the grid-connected and off-grid process data to obtain to-be-analyzed data; 3, performing feature extraction on the to-be-analyzed data, and selecting a preset prediction model from the model database to perform prediction analysis on the to-be-analyzed data to obtain prediction data; 4, analyzing the to-be-analyzed data and the prediction data, selecting a matched frequency modulation strategy and a frequency modulation method in a strategy-method database, carrying out the frequency modulation of the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategy and the frequency modulation method, and optimizing the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data. According to the invention, the frequency stability of the photovoltaic power station in the grid-connected and off-grid process can be improved, and stable operation of the power grid is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid control, and in particular to a frequency regulation method and system for a photovoltaic power station. Background Art

[0002] Photovoltaic power generation is a new energy power generation technology that uses the photovoltaic effect of semiconductor interfaces to directly convert light energy into electrical energy. After solar cells are connected in series and packaged for protection, they can form a large-area solar cell module, which is then combined with power controllers and other components to form a photovoltaic power generation device. The photovoltaic power generation device transmits electrical energy to the power grid through an inverter to form a grid-connected photovoltaic power generation system.

[0003] As the scale of photovoltaic grid-connected power generation systems connected to the power grid continues to increase, the grid dispatching has brought problems with power system flow, stability, peak regulation, and coordination between multiple photovoltaic power stations. Affected by the characteristics of light resources, photovoltaic output fluctuates greatly, which is not conducive to the stable operation of the power system, and is prone to voltage fluctuations and flickers, affecting the power quality of the system.

[0004] Therefore, the present invention provides a method and system for frequency regulation of a photovoltaic power station. Summary of the invention

[0005] The present invention provides a photovoltaic power station frequency regulation method and system, which are used to improve the frequency stability of the photovoltaic power station during the process of connecting to and disconnecting from the grid, and ensure the stable operation of the power grid.

[0006] In one aspect, the present invention provides a method for adjusting the frequency of a photovoltaic power station, comprising:

[0007] Step 1: Obtain the operation data of the photovoltaic power station in the process of grid connection and off-grid connection in real time, and output the grid connection and off-grid connection process data;

[0008] Step 2: preprocessing the on-grid and off-grid process data using a preset preprocessing method to obtain data to be analyzed;

[0009] Step 3: extracting features from the data to be analyzed, and selecting a matching preset prediction model from a model database based on the extracted features to perform prediction analysis on the data to be analyzed to obtain prediction data;

[0010] Step 4: Analyze the data to be analyzed and the predicted data, select matching frequency modulation strategies and frequency modulation methods from the strategy-method database based on the analysis results, and perform frequency modulation on the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategies and frequency modulation methods, and optimize the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data.

[0011] Preferably, step 1 includes:

[0012] A monitoring array is constructed by setting preset monitoring devices at multiple preset positions in the photovoltaic power station and corresponding position information;

[0013] Based on the monitoring array, the operation data of the photovoltaic power station during the grid-connection and grid-offline process is acquired, and the grid-connection and grid-offline process data is output.

[0014] Preferably, step 2 includes:

[0015] Performing an abnormality analysis on the on-grid and off-grid process data, outputting an abnormality analysis result, and selecting a preset preprocessing method matching the abnormality analysis result from a method database in combination with a preset result-method comparison table;

[0016] The on-grid and off-grid process data are preprocessed based on the preset preprocessing method to obtain data to be analyzed.

[0017] Preferably, step 3 includes:

[0018] Extracting features from the data to be analyzed to construct a first feature set;

[0019] Based on the first feature set, obtaining a matching first screening factor in a preset feature-factor matching table;

[0020] Based on the first screening factor, screening and obtaining a matching preset prediction model in the model database;

[0021] The preset prediction model is used to perform prediction analysis on the data to be analyzed, and the prediction data is output.

[0022] Preferably, performing predictive analysis on the data to be analyzed by using the preset predictive model and outputting the predicted data includes:

[0023] Querying the format requirement information corresponding to the preset prediction model in the format information library;

[0024] Based on the format requirement information, the data to be analyzed is formatted to obtain data to be predicted in a preset format;

[0025] The data to be predicted is input into a preset prediction model for prediction analysis to obtain prediction data.

[0026] Preferably, step 4 includes:

[0027] Acquire system self-matching instructions and manually input instructions in real time to obtain a first instruction set, select a first evaluation indicator matching each instruction in the first instruction set from an indicator database, and construct a first indicator set;

[0028] Based on the first indicator set, the data to be analyzed and the predicted data are classified and divided to obtain sub-data corresponding to each category;

[0029] At the same time, based on the first indicator set and in combination with the indicator-method comparison table, a matching evaluation method is selected from the method database;

[0030] Obtaining a mapping relationship between first evaluation indicators in the first indicator set in a preset indicator mapping table, and constructing an indicator relationship diagram;

[0031] In combination with the indicator relationship diagram, the sub-data are evaluated and analyzed by the evaluation method to obtain a real-time evaluation result and a future trend evaluation result of the photovoltaic power station operation frequency, and a first result is summarized and output;

[0032] Based on the first result and in combination with the obtained preset frequency modulation target indicator, a matching frequency modulation strategy and a frequency modulation method under the corresponding strategy are selected from the strategy-method database;

[0033] Based on the frequency modulation strategy and the frequency modulation method, a matching frequency modulation instruction is selected from the instruction database, and the frequency of the corresponding photovoltaic equipment in the photovoltaic power station is modulated;

[0034] Obtain the operation change data of the corresponding photovoltaic equipment in the photovoltaic power station before and after each frequency modulation, and output the frequency modulation process data;

[0035] Extracting features from the frequency modulation process data, and constructing a second feature set based on the extracted features;

[0036] Based on the second feature set and in combination with the feature-indicator mapping table, a second evaluation indicator is selected from the indicator database to construct a second indicator set, and the effect of the frequency modulation process data is evaluated based on the second indicator set to obtain a second result;

[0037] A matching preset optimization method is selected from a method database in combination with preset optimization indicators, an optimization analysis is performed on the second result based on the preset optimization method and the preset optimization indicators, and the frequency modulation strategy is optimized based on the optimization analysis result.

[0038] Preferably, based on the first result and in combination with the obtained preset frequency modulation target index, a matching frequency modulation strategy and a frequency modulation method under the corresponding strategy are selected from the strategy-method database, including:

[0039] Parsing the first result to obtain first parsing content corresponding to the real-time evaluation result and second parsing content corresponding to the future trend evaluation result;

[0040] Based on the acquired system self-selected instructions and manually selected instructions, a second instruction set is obtained, and a preset frequency modulation target indicator matching each instruction in the second instruction set is selected from the indicator database;

[0041] Based on the preset frequency modulation target index, and in combination with the preset index-standard comparison table, standard parameter data corresponding to each preset frequency modulation target index is selected in the standard database;

[0042] Based on the preset frequency modulation target index and the corresponding standard parameter data, the corresponding data in the first analysis content and the second analysis content are analyzed to obtain a first analysis result;

[0043] Based on the first analysis result and in combination with a preset result-strategy-method mapping table, a matching frequency modulation strategy and frequency modulation method are selected from a strategy-method database;

[0044] The frequency regulation strategies include: energy storage frequency regulation strategy, inverter frequency regulation strategy, multi-source power station frequency regulation strategy and comprehensive frequency regulation strategy;

[0045]

[0046] Among them, s represents the frequency regulation strategy; s1 represents the energy storage frequency regulation strategy; s2 represents the inverter frequency regulation strategy; s3 represents the multi-source power station frequency regulation strategy; s4 represents the comprehensive frequency regulation strategy; α 1 Represents the impact coefficient of energy storage frequency regulation strategy on grid frequency fluctuation; α 2 Indicates the influence coefficient of inverter frequency regulation strategy on grid frequency fluctuation; α 3 represents the influence coefficient of the frequency regulation strategy of multi-source power stations on the fluctuation of power grid frequency; min{α 1 , α 2 , α 3} means taking α 1 , α 2 , α 3 The minimum value in β s Represents the frequency regulation demand space of the power grid; β 1 represents the frequency regulation redundancy space corresponding to the energy storage frequency regulation strategy; β 2 represents the frequency regulation redundancy space corresponding to the inverter frequency regulation strategy; β 3 represents the frequency regulation redundancy space corresponding to the frequency regulation strategy of multi-source power stations; β 4 represents the frequency modulation redundancy space corresponding to the comprehensive frequency modulation strategy; max{β 1 , β 2 , β 3} means taking β 1 , β 2 , β 3 The maximum value among sum(β 1 , β2 , β 3 ) represents the 1 , β 2 , β 3 The sum value obtained by summing.

[0047] On the other hand, the present invention also provides a photovoltaic power station frequency regulation system, comprising:

[0048] The data acquisition module is used to obtain the operation data of the photovoltaic power station in the process of grid connection and off-grid connection in real time, and output the grid connection and off-grid connection process data;

[0049] A preprocessing module, used to preprocess the on-grid and off-grid process data using a preset preprocessing method to obtain data to be analyzed;

[0050] A prediction module is used to extract features of the data to be analyzed, and select a matching preset prediction model from a model database based on the extracted features to perform prediction analysis on the data to be analyzed to obtain predicted data;

[0051] The strategy-method matching module is used to analyze the data to be analyzed and the predicted data, select matching frequency modulation strategies and methods from the strategy-method database based on the analysis results, and perform frequency modulation on the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategies and methods, and optimize the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data.

[0052] The present invention provides a method and system for adjusting the frequency of a photovoltaic power station. The present invention obtains the operation data of the photovoltaic power station in real time, performs preprocessing and feature extraction, and uses a preset prediction model to perform prediction analysis, then selects a suitable frequency modulation strategy and method to adjust the photovoltaic equipment according to the analysis result, and optimizes the frequency modulation strategy through a preset optimization method, thereby realizing the frequency adjustment of the photovoltaic power station. The present invention can improve the adjustment accuracy and efficiency of the photovoltaic power station on the grid frequency, reduce the impact of frequency fluctuations on the grid, improve the stability and reliability of the grid, and promote the effective use of clean energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 It is a flow chart of a method for frequency regulation of a photovoltaic power station provided by an embodiment of the present invention;

[0055] Figure 2 It is a schematic diagram of the framework of a photovoltaic power station frequency regulation system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] like Figure 1 As shown, a photovoltaic power station frequency adjustment method provided by an embodiment of the present invention includes:

[0058] Step 1: Obtain the operation data of the photovoltaic power station in the process of grid connection and off-grid connection in real time, and output the grid connection and off-grid connection process data;

[0059] Step 2: Use a preset preprocessing method to preprocess the on-grid and off-grid process data to obtain the data to be analyzed;

[0060] Step 3: Extract features of the data to be analyzed, and select a matching preset prediction model from the model database based on the extracted features to perform prediction analysis on the data to be analyzed to obtain prediction data;

[0061] Step 4: Analyze the data to be analyzed and the predicted data, select matching frequency modulation strategies and frequency modulation methods from the strategy-method database based on the analysis results, and perform frequency modulation on the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategies and frequency modulation methods, and optimize the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data.

[0062] In this embodiment, the on-grid and off-grid process refers to the process of connecting and disconnecting the photovoltaic power station from the grid;

[0063] In this embodiment, operation data refers to various data collected by the photovoltaic power station during the process of being connected to and off the grid, such as power output, voltage, current, etc.;

[0064] In this embodiment, the grid-connection and off-grid process data refers to the collection of all operation data obtained during the grid-connection and off-grid process;

[0065] In this embodiment, the pre-processing method is preset: the method for processing the on-grid and off-grid process data in preparation for subsequent analysis is pre-set, for example, data cleaning, denoising, data smoothing, etc.;

[0066] In this embodiment, the data to be analyzed: data that has been pre-processed and used for further analysis;

[0067] In this embodiment, the model database: a database storing various prediction models;

[0068] In this embodiment, the preset prediction model: a pre-established model for prediction analysis, such as a machine learning model, a statistical model, etc.;

[0069] In this embodiment, predicted data refers to data obtained by predicting the data to be analyzed according to a preset prediction model;

[0070] In this embodiment, the strategy-method database: a database storing various frequency modulation strategies and frequency modulation methods;

[0071] In this embodiment, frequency regulation strategy: a strategy for regulating the frequency of a photovoltaic power station, for example, increasing or decreasing output power, etc.;

[0072] In this embodiment, frequency modulation method: a specific method for implementing a frequency modulation strategy, for example, adjusting an inverter operating mode, controlling the output power of a photovoltaic device, etc.;

[0073] In this embodiment, frequency modulation process data: data generated during the frequency modulation process, used to monitor and evaluate the frequency modulation effect;

[0074] In this embodiment, the preset optimization method is a preset method for optimizing the frequency modulation strategy, such as a genetic algorithm, a simulated annealing algorithm, and the like.

[0075] The implementation principle and beneficial effects of this embodiment: The present invention obtains the operation data of the photovoltaic power station in real time, performs preprocessing and feature extraction, and uses a preset prediction model to perform prediction analysis, then selects a suitable frequency modulation strategy and method to adjust the photovoltaic equipment according to the analysis results, and optimizes the frequency modulation strategy through a preset optimization method, thereby realizing the frequency regulation of the photovoltaic power station. The present invention can improve the regulation accuracy and efficiency of the photovoltaic power station on the grid frequency, reduce the impact of frequency fluctuations on the grid, improve the stability and reliability of the grid, and promote the effective use of clean energy.

[0076] A photovoltaic power station frequency adjustment method provided by an embodiment of the present invention includes step 1:

[0077] A monitoring array is constructed by setting preset monitoring devices at multiple preset positions in the photovoltaic power station and corresponding position information;

[0078] Based on the monitoring array, the operation data of the photovoltaic power station during the grid-connection and off-grid process is acquired, and the grid-connection and off-grid process data is output.

[0079] In this embodiment, preset positions: positions pre-set in the photovoltaic power station, used to install monitoring equipment to monitor the operating status of the photovoltaic power station in real time, these positions are planned and determined in advance according to the layout, structure and operating requirements of the photovoltaic power station;

[0080] In this embodiment, preset monitoring devices: monitoring devices installed at preset positions, used to collect data of various key points inside the photovoltaic power station, such as light intensity, temperature, current, voltage, etc. These monitoring devices can be sensors, data collectors and other devices;

[0081] In this embodiment, position information: position information associated with a preset position, used to determine the specific position coordinates or identification of each preset position so that the monitoring device can accurately record data;

[0082] In this embodiment, the monitoring array: an overall monitoring system consisting of preset positions and corresponding preset monitoring devices, is used to monitor the operating status of the photovoltaic power station in real time and collect data. The monitoring array can provide comprehensive data collection and monitoring, which is helpful for analyzing the performance and operation of the photovoltaic power station.

[0083] The implementation principle and beneficial effects of this embodiment: The present invention sets preset positions and preset monitoring equipment in the photovoltaic power station to construct a monitoring array to obtain the operation data of the photovoltaic power station in real time, including data during the grid connection and off-grid process. Through the data collected by the monitoring array, the operation status of the photovoltaic power station can be comprehensively monitored and analyzed, providing data support for subsequent frequency regulation and optimization. The present invention can improve the operation monitoring capability of the photovoltaic power station, realize real-time monitoring and data collection of the operation status of the photovoltaic power station, help to find problems in time and take corresponding measures, improve the stability and reliability of the photovoltaic power station, and thus promote the coordinated operation of the photovoltaic power station and the power grid.

[0084] A photovoltaic power station frequency adjustment method provided by an embodiment of the present invention includes, in step 2, the following steps:

[0085] Perform abnormal analysis on the grid-connected and off-grid process data, output the abnormal analysis results, and select a preset preprocessing method matching the abnormal analysis results in the method database in combination with the preset result-method comparison table;

[0086] The on-grid and off-grid process data are preprocessed based on a preset preprocessing method to obtain the data to be analyzed.

[0087] In this embodiment, abnormal analysis: Analyze the grid-connected and off-grid process data to detect and identify any abnormal data or abnormal conditions, such as abnormal frequency data and abnormal power data of the photovoltaic power station, which can help operation and maintenance personnel identify potential problems or abnormal events;

[0088] In this embodiment, abnormal analysis result: the conclusion or result obtained from the abnormal analysis, describing any abnormal situation or problem found during the grid connection and disconnection process;

[0089] In this embodiment, the preset result-method comparison table: a table containing the comparison relationship between abnormal analysis results and preset pre-processing methods, which lists possible abnormal analysis results and matches them with the preset processing methods, can help determine the pre-processing method to be adopted for specific abnormal data or abnormal situations;

[0090] In this embodiment, the method database: a database storing various preprocessing methods and processing strategies, used to select an appropriate preprocessing method according to the abnormal analysis results, including but not limited to data cleaning, outlier processing, data smoothing and other methods.

[0091] Implementation principle and beneficial effects of this embodiment: The present invention identifies potential problems or abnormal situations by performing abnormal analysis on the grid-connected and off-grid process data, and selects the corresponding preprocessing method for processing according to the preset result-method comparison table. By preprocessing the data, the data can be prepared for further analysis and processing to achieve more accurate frequency regulation. The present invention can improve the quality of photovoltaic power station operation data, ensure the reliability and validity of the data, reduce the impact of abnormal data on frequency regulation, and improve the stability and reliability of photovoltaic power stations.

[0092] A photovoltaic power station frequency adjustment method provided by an embodiment of the present invention includes, in step 3:

[0093] Extract features from the data to be analyzed and construct a first feature set;

[0094] Based on the first feature set, obtaining a matching first screening factor in a preset feature-factor matching table;

[0095] Based on the first screening factor, a matching preset prediction model is screened in the model database;

[0096] The data to be analyzed is subjected to predictive analysis through a preset predictive model, and the predicted data is output.

[0097] In this embodiment, the first feature set: a feature set obtained by extracting features from the data to be analyzed, which can reflect the key characteristics or patterns of the photovoltaic power station on-grid and off-grid process data, and is used for subsequent analysis and prediction;

[0098] In this embodiment, the preset feature-factor matching table includes the matching relationship between the data features and the first screening factors, and can match the first screening factors that match the data features in the first feature set for subsequent prediction model selection;

[0099] In this embodiment, the first screening factor: finding matching factors in a preset feature-factor matching table based on the features extracted from the first feature set can be used as a basis for prediction model selection and prediction analysis.

[0100] The implementation principle and beneficial effects of this embodiment: The present invention constructs a first feature set through feature extraction, then selects a matching first screening factor according to a preset feature-factor matching table, selects a matching preset prediction model in a model database, and analyzes and predicts the data through the preset prediction model, outputs the prediction data, and provides a reference basis for subsequent frequency regulation. The present invention can use feature extraction and prediction models to conduct in-depth analysis and prediction of data, improve the understanding and prediction capabilities of the operating status of photovoltaic power stations, and provide more accurate data support for frequency regulation and optimization.

[0101] A photovoltaic power station frequency regulation method provided by an embodiment of the present invention performs prediction analysis on data to be analyzed by using a preset prediction model and outputs prediction data, including:

[0102] Querying the format requirement information corresponding to the preset prediction model in the format information library;

[0103] Based on the format requirement information, the data to be analyzed is formatted and the data to be predicted in a preset format is obtained;

[0104] The data to be predicted is input into the preset prediction model for prediction analysis to obtain the predicted data.

[0105] In this embodiment, the format information library: a database storing format requirement information corresponding to different preset prediction models, including the data format and structure required by the preset prediction model to ensure that the input data meets the requirements of the model;

[0106] In this embodiment, the format requirement information: describes the specific requirements of the data format required by the preset prediction model, such as data type, data range, data structure, etc. Based on this information, the data to be analyzed can be converted into a corresponding format;

[0107] In this embodiment, the preset format is the data format required by the prediction model determined according to the format requirement information. The data to be analyzed is converted according to the preset format requirements to ensure that the data can be correctly processed and analyzed by the prediction model.

[0108] The implementation principle and beneficial effects of this embodiment: The present invention can convert the data to be analyzed into data to be predicted in a preset format according to the format requirement information in the format information library, and then input these data into a preset prediction model for prediction analysis, and finally obtain the prediction data, ensuring that the format of the data matches the requirements of the prediction model, thereby improving the accuracy and reliability of the prediction. The present invention can ensure that the input data meets the requirements of the preset prediction model, improve the effectiveness and accuracy of the prediction model, and by performing format conversion and prediction analysis on the data, the operating status of the photovoltaic power station can be better understood.

[0109] A photovoltaic power station frequency adjustment method provided by an embodiment of the present invention includes, in step 4:

[0110] Acquire system self-matching instructions and manually input instructions in real time to obtain a first instruction set, select a first evaluation indicator matching each instruction in the first instruction set from an indicator database, and construct a first indicator set;

[0111] Based on the first indicator set, the data to be analyzed and the predicted data are classified and divided to obtain sub-data corresponding to each category;

[0112] At the same time, based on the first indicator set and in combination with the indicator-method comparison table, a matching evaluation method is selected from the method database;

[0113] Obtaining a mapping relationship between first evaluation indicators in a first indicator set in a preset indicator mapping table, and constructing an indicator relationship diagram;

[0114] Combined with the indicator relationship diagram, the sub-data are evaluated and analyzed through the evaluation method to obtain the real-time evaluation results and future trend evaluation results of the photovoltaic power station operation frequency, and the first result is summarized and output;

[0115] Based on the first result and in combination with the obtained preset frequency modulation target indicator, a matching frequency modulation strategy and a frequency modulation method under the corresponding strategy are selected from the strategy-method database;

[0116] Based on the frequency modulation strategy and frequency modulation method, a matching frequency modulation instruction is selected from the instruction database, and the frequency of the corresponding photovoltaic equipment in the photovoltaic power station is modulated;

[0117] Obtain the operation change data of the corresponding photovoltaic equipment in the photovoltaic power station before and after each frequency modulation, and output the frequency modulation process data;

[0118] Extracting features from the frequency modulation process data, and constructing a second feature set based on the extracted features;

[0119] Based on the second feature set and in combination with the feature-index mapping table, a second evaluation index is selected from the index database to construct a second index set, and the effect of the frequency modulation process data is evaluated based on the second index set to obtain a second result;

[0120] A matching preset optimization method is selected from a method database in combination with preset optimization indicators, an optimization analysis is performed on the second result based on the preset optimization method and the preset optimization indicators, and the frequency modulation strategy is optimized based on the optimization analysis result.

[0121] In this embodiment, the system self-matching instruction: that is, the instruction automatically obtained from the system, which may be from an automation system or a monitoring device, and is used to guide the frequency regulation operation of the photovoltaic power station;

[0122] In this embodiment, the manually input instruction: that is, the manually input instruction, may be an adjustment instruction provided by an operator according to actual conditions;

[0123] In this embodiment, the first instruction set: an instruction set consisting of system self-matching instructions and manual input instructions;

[0124] In this embodiment, the indicator database: a database containing various types of evaluation indicators;

[0125] In this embodiment, the first evaluation index: that is, selecting an evaluation index matching each instruction in the first instruction set in the index database;

[0126] In this embodiment, the first indicator set is a set consisting of all first evaluation indicators;

[0127] In this embodiment, sub-data: classify and divide the data according to the first indicator set to obtain data corresponding to each category, in preparation for subsequent evaluation and analysis;

[0128] In this embodiment, the indicator-method comparison table is a table containing the comparison relationship between indicators and evaluation methods, which is used to obtain the corresponding evaluation method according to the input first indicator set;

[0129] In this embodiment, the evaluation method is selected from the method database and used to evaluate and analyze the sub-data to obtain the real-time evaluation result and future trend evaluation result of the photovoltaic power station operation frequency;

[0130] In this embodiment, the indicator relationship diagram: a diagram including the mapping relationship between the first evaluation indicators;

[0131] In this embodiment, real-time evaluation result: an immediate, real-time evaluation result, which is used to describe the evaluation result of the operating frequency of the photovoltaic power station at the current moment;

[0132] In this embodiment, the future trend evaluation result: the trend of the operating frequency of the photovoltaic power station in the future period is evaluated to predict the future operation status;

[0133] In this embodiment, the first result: a comprehensive result of the real-time evaluation result and the future trend evaluation result of the photovoltaic power station operation frequency obtained based on the first indicator set and the evaluation method;

[0134] In this embodiment, the preset frequency modulation target index: a target index preset to guide frequency modulation behavior;

[0135] In this embodiment, the instruction database: a database storing various frequency modulation instructions, used to guide the frequency modulation behavior of corresponding photovoltaic equipment in the photovoltaic power station;

[0136] In this embodiment, frequency modulation instruction: a specific frequency modulation control instruction, including but not limited to instructions for adjusting frequency, power, etc., used to control equipment in a photovoltaic power station;

[0137] In this embodiment, the frequency modulation process data: records the operation change data of the corresponding photovoltaic equipment in the photovoltaic power station during the frequency modulation process, which is used to analyze and evaluate the frequency modulation effect;

[0138] In this embodiment, the second feature set: a feature set obtained by extracting features based on the frequency modulation process data, which is used for further evaluation and analysis;

[0139] In this embodiment, the feature-indicator mapping table: a table containing a mapping relationship between data features and the second evaluation indicator;

[0140] In this embodiment, the second evaluation index: an evaluation index selected based on the second feature set and the mapping table, used to evaluate the effect of the frequency modulation process;

[0141] In this embodiment, the second indicator set: an indicator set constructed according to the second evaluation indicator, used to evaluate the frequency modulation process data;

[0142] In this embodiment, the second result: a frequency modulation process effect evaluation result obtained based on the second indicator set;

[0143] In this embodiment, the preset optimization index: a preset index used to guide the optimization analysis, used to evaluate and guide the optimization of the frequency modulation strategy.

[0144] Implementation principle and beneficial effects of this embodiment: The present invention can not only reduce the voltage fluctuation of the photovoltaic power station during the grid connection and off-grid process and improve the stability of the photovoltaic power station, but also comprehensively evaluate, analyze and optimize the frequency regulation process of the photovoltaic power station through the steps of real-time acquisition of instructions, evaluation indicators, classification, evaluation methods, frequency regulation strategies and methods. The present invention can help improve the efficiency and stability of the photovoltaic power station operation, ensure its coordinated operation with the power grid, and thus improve the reliability and performance of the system.

[0145] A photovoltaic power station frequency regulation method provided by an embodiment of the present invention is based on the first result and in combination with the obtained preset frequency regulation target index, a matching frequency regulation strategy and a frequency regulation method under the corresponding strategy are selected from a strategy-method database, including:

[0146] Parsing the first result to obtain first parsing content corresponding to the real-time evaluation result and second parsing content corresponding to the future trend evaluation result;

[0147] Based on the acquired system self-selected instructions and manually selected instructions, a second instruction set is obtained, and a preset frequency modulation target indicator matching each instruction in the second instruction set is selected from the indicator database;

[0148] Based on the preset frequency modulation target index, and in combination with the preset index-standard comparison table, standard parameter data corresponding to each preset frequency modulation target index is selected in the standard database;

[0149] Based on the preset frequency modulation target index and the corresponding standard parameter data, the corresponding data in the first analysis content and the second analysis content are analyzed to obtain a first analysis result;

[0150] Based on the first analysis result and in combination with a preset result-strategy-method mapping table, a matching frequency modulation strategy and frequency modulation method are selected from a strategy-method database;

[0151] Among them, frequency regulation strategies include: energy storage frequency regulation strategy, inverter frequency regulation strategy, multi-source power station frequency regulation strategy and comprehensive frequency regulation strategy;

[0152]

[0153] Among them, s represents the frequency regulation strategy; s1 represents the energy storage frequency regulation strategy; s2 represents the inverter frequency regulation strategy; s3 represents the multi-source power station frequency regulation strategy; s4 represents the comprehensive frequency regulation strategy; α 1 Represents the impact coefficient of energy storage frequency regulation strategy on grid frequency fluctuation; α 2 Indicates the influence coefficient of inverter frequency regulation strategy on grid frequency fluctuation; α 3 represents the influence coefficient of the frequency regulation strategy of multi-source power stations on the fluctuation of power grid frequency; min{α 1 , α 2 , α 3} means taking α 1 , α 2 , α 3 The minimum value in β s Represents the frequency regulation demand space of the power grid; β 1 represents the frequency regulation redundancy space corresponding to the energy storage frequency regulation strategy; β 2 represents the frequency regulation redundancy space corresponding to the inverter frequency regulation strategy; β 3 represents the frequency regulation redundancy space corresponding to the frequency regulation strategy of multi-source power stations; β 4 represents the frequency modulation redundancy space corresponding to the comprehensive frequency modulation strategy; max{β 1 , β 2 , β 3} means taking β 1 , β 2 , β 3 The maximum value among sum(β 1 , β 2 , β 3 ) represents the 1 , β 2 , β 3The sum value obtained by summing.

[0154] In this embodiment, the first analysis content: that is, the analysis content corresponding to the real-time evaluation result, is used to characterize the current frequency situation of the photovoltaic power station and the power grid, the power grid connection status, etc.;

[0155] In this embodiment, the second analysis content: that is, the analysis content corresponding to the future trend assessment result, is used to characterize the frequency change trend or direction of the photovoltaic power station and the power grid in a certain period of time in the future;

[0156] In this embodiment, the system automatically selects instructions: frequency modulation instructions automatically generated by the system, for example, "increase inverter output power";

[0157] In this embodiment, the manual selection instruction: a manually set frequency regulation instruction, for example, "start the energy storage system to adjust the frequency";

[0158] In this embodiment, the second instruction set: includes a frequency modulation instruction set selected by the system itself and manually;

[0159] In this embodiment, the preset index-standard comparison table: the preset frequency regulation target index is matched with the standard parameter data. For example, the preset target "maintain the frequency at 50Hz" corresponds to the standard parameter data "adjust the inverter power output to XkW";

[0160] In this embodiment, standard database: a database storing standard parameter data, used to provide standard parameter values;

[0161] In this embodiment, standard parameter data: that is, standard parameter data used for comparative analysis;

[0162] In this embodiment, the first analysis result: the result obtained by analyzing the preset frequency regulation target index and standard parameter data, such as "it is recommended to increase the inverter power output by 5kW";

[0163] In this embodiment, a result-strategy-method mapping table is preset: a table that maps the first analysis result to corresponding frequency modulation strategies and frequency modulation methods, for example, mapping "inverter power output increased by 5kW" to the "increase inverter power output" method under "inverter frequency modulation strategy";

[0164] In this embodiment, the energy storage frequency regulation strategy: an energy storage system is configured in the photovoltaic power station to balance the instantaneous changes in the output of the photovoltaic power station through rapid charging and discharging, thereby stabilizing the system frequency. When a single frequency regulation strategy can meet the frequency regulation needs of the power grid, and the energy storage frequency regulation strategy has the smallest impact coefficient on the fluctuation of the power grid frequency, the energy storage frequency regulation strategy is preferentially adopted; when a single frequency regulation strategy cannot meet the frequency regulation needs of the power grid, the inverter frequency regulation strategy and the multi-source power station frequency regulation strategy can be combined for comprehensive regulation;

[0165] In this embodiment, the inverter frequency modulation strategy: by controlling the working mode and output power of the photovoltaic inverter, the active power output of the photovoltaic power station to the power grid can be adjusted, thereby adjusting the power grid frequency. When a single frequency modulation strategy can meet the frequency modulation needs of the power grid, and the inverter frequency modulation strategy has the smallest influence coefficient on the fluctuation of the power grid frequency, the inverter frequency modulation strategy is preferentially adopted; when a single frequency modulation strategy cannot meet the frequency modulation needs of the power grid, a comprehensive adjustment can be performed in combination with the energy storage frequency modulation strategy and the multi-source power station frequency modulation strategy;

[0166] In this embodiment, the frequency regulation strategy of the multi-source power station: coordinates operation with other renewable energy power generation facilities or traditional power plants to jointly participate in frequency regulation. By coordinating the operation of different power generation facilities, the regulation and stability of the power grid frequency can be better achieved. When a single frequency regulation strategy can meet the frequency regulation needs of the power grid, and the inverter frequency regulation strategy has the smallest influence coefficient on the fluctuation of the power grid frequency, the inverter frequency regulation strategy is preferentially adopted; when a single frequency regulation strategy cannot meet the frequency regulation needs of the power grid, the energy storage frequency regulation strategy and the multi-source power station frequency regulation strategy can be combined for comprehensive regulation;

[0167] In this embodiment, the comprehensive frequency regulation strategy: that is, a comprehensive frequency regulation strategy that combines the energy storage frequency regulation strategy, the inverter frequency regulation strategy and the multi-source power station frequency regulation strategy. When a single strategy among the energy storage frequency regulation strategy, the inverter frequency regulation strategy and the multi-source power station frequency regulation strategy cannot meet the frequency regulation demand of the power grid, the comprehensive frequency regulation can be performed by combining the above strategies to meet the frequency regulation demand of the power grid.

[0168] Implementation principle and beneficial effects of this embodiment: The present invention realizes refined control and optimization of frequency regulation of photovoltaic power stations by analyzing real-time data, setting frequency regulation targets, and selecting appropriate frequency regulation strategies and methods. The present invention can not only improve the response speed and regulation accuracy of photovoltaic power stations to grid frequency, ensure its coordinated operation with the grid, but also help optimize the frequency regulation strategy of photovoltaic power stations, thereby improving the stability and reliability of the system.

[0169] like Figure 2 As shown, a photovoltaic power station frequency regulation system provided by an embodiment of the present invention includes:

[0170] The data acquisition module is used to obtain the operation data of the photovoltaic power station in the process of grid connection and off-grid connection in real time, and output the grid connection and off-grid connection process data;

[0171] A preprocessing module is used to preprocess the on-grid and off-grid process data using a preset preprocessing method to obtain data to be analyzed;

[0172] A prediction module is used to extract features of the data to be analyzed, and select a matching preset prediction model from the model database based on the extracted features to perform prediction analysis on the data to be analyzed to obtain predicted data;

[0173] The strategy-method matching module is used to analyze the data to be analyzed and the predicted data, select matching frequency modulation strategies and methods from the strategy-method database based on the analysis results, and perform frequency modulation on the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategies and methods, and optimize the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data.

[0174] The implementation principle and beneficial effects of this embodiment: The present invention obtains the operation data of the photovoltaic power station in real time, performs preprocessing and feature extraction, and uses a preset prediction model to perform prediction analysis, then selects a suitable frequency modulation strategy and method to adjust the photovoltaic equipment according to the analysis results, and optimizes the frequency modulation strategy through a preset optimization method, thereby realizing the frequency regulation of the photovoltaic power station. The present invention can improve the regulation accuracy and efficiency of the photovoltaic power station on the grid frequency, reduce the impact of frequency fluctuations on the grid, improve the stability and reliability of the grid, and promote the effective use of clean energy.

[0175] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adjusting the frequency of a photovoltaic power station, characterized in that: include: Step 1: Obtain the operation data of the photovoltaic power station in the process of grid connection and off-grid connection in real time, and output the grid connection and off-grid connection process data; Step 2: preprocessing the on-grid and off-grid process data using a preset preprocessing method to obtain data to be analyzed; Step 3: extracting features from the data to be analyzed, and selecting a matching preset prediction model from a model database based on the extracted features to perform prediction analysis on the data to be analyzed to obtain prediction data; Step 4: Analyze the data to be analyzed and the predicted data, select matching frequency modulation strategies and frequency modulation methods from the strategy-method database based on the analysis results, and perform frequency modulation on the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategies and frequency modulation methods, and optimize the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data.

2. A photovoltaic power station frequency adjustment method according to claim 1, characterized in that: Step 1 includes: A monitoring array is constructed by setting preset monitoring devices at multiple preset positions in the photovoltaic power station and corresponding position information; Based on the monitoring array, the operation data of the photovoltaic power station during the grid-connection and grid-offline process is acquired, and the grid-connection and grid-offline process data is output.

3. A photovoltaic power station frequency adjustment method according to claim 1, characterized in that: Step 2 includes: Performing an abnormality analysis on the on-grid and off-grid process data, outputting an abnormality analysis result, and selecting a preset preprocessing method matching the abnormality analysis result from a method database in combination with a preset result-method comparison table; The on-grid and off-grid process data are preprocessed based on the preset preprocessing method to obtain data to be analyzed.

4. A photovoltaic power station frequency adjustment method according to claim 1, characterized in that: Step 3 includes: Extracting features from the data to be analyzed to construct a first feature set; Based on the first feature set, obtaining a matching first screening factor in a preset feature-factor matching table; Based on the first screening factor, screening and obtaining a matching preset prediction model in the model database; The preset prediction model is used to perform prediction analysis on the data to be analyzed, and the prediction data is output.

5. A photovoltaic power station frequency adjustment method according to claim 4, characterized in that: Performing predictive analysis on the data to be analyzed by using the preset predictive model and outputting the predicted data includes: Querying the format requirement information corresponding to the preset prediction model in the format information library; Based on the format requirement information, the data to be analyzed is formatted to obtain data to be predicted in a preset format; The data to be predicted is input into a preset prediction model for prediction analysis to obtain prediction data.

6. A photovoltaic power station frequency regulation method according to claim 1, characterized in that: Step 4 includes: Acquire system self-matching instructions and manually input instructions in real time to obtain a first instruction set, select a first evaluation indicator matching each instruction in the first instruction set from an indicator database, and construct a first indicator set; Based on the first indicator set, the data to be analyzed and the predicted data are classified and divided to obtain sub-data corresponding to each category; At the same time, based on the first indicator set and in combination with the indicator-method comparison table, a matching evaluation method is selected from the method database; Obtaining a mapping relationship between first evaluation indicators in the first indicator set in a preset indicator mapping table, and constructing an indicator relationship diagram; In combination with the indicator relationship diagram, the sub-data are evaluated and analyzed by the evaluation method to obtain a real-time evaluation result and a future trend evaluation result of the photovoltaic power station operation frequency, and a first result is summarized and output; Based on the first result and in combination with the obtained preset frequency modulation target indicator, a matching frequency modulation strategy and a frequency modulation method under the corresponding strategy are selected from the strategy-method database; Based on the frequency modulation strategy and the frequency modulation method, a matching frequency modulation instruction is selected from the instruction database, and the frequency of the corresponding photovoltaic equipment in the photovoltaic power station is modulated; Obtain the operation change data of the corresponding photovoltaic equipment in the photovoltaic power station before and after each frequency modulation, and output the frequency modulation process data; Extracting features from the frequency modulation process data, and constructing a second feature set based on the extracted features; Based on the second feature set and in combination with the feature-indicator mapping table, a second evaluation indicator is selected from the indicator database to construct a second indicator set, and the effect of the frequency modulation process data is evaluated based on the second indicator set to obtain a second result; A matching preset optimization method is selected from a method database in combination with a preset optimization index, an optimization analysis is performed on the second result based on the preset optimization method and the preset optimization index, and the frequency modulation strategy is optimized based on the optimization analysis result.

7. A photovoltaic power station frequency regulation method according to claim 6, characterized in that: Based on the first result and in combination with the obtained preset frequency modulation target index, a matching frequency modulation strategy and a frequency modulation method under the corresponding strategy are selected from the strategy-method database, including: Parsing the first result to obtain first parsing content corresponding to the real-time evaluation result and second parsing content corresponding to the future trend evaluation result; Based on the acquired system self-selected instructions and manually selected instructions, a second instruction set is obtained, and a preset frequency modulation target indicator matching each instruction in the second instruction set is selected from the indicator database; Based on the preset frequency modulation target index, and in combination with the preset index-standard comparison table, standard parameter data corresponding to each preset frequency modulation target index is selected in the standard database; Based on the preset frequency modulation target index and the corresponding standard parameter data, the corresponding data in the first analysis content and the second analysis content are analyzed to obtain a first analysis result; Based on the first analysis result and in combination with a preset result-strategy-method mapping table, a matching frequency modulation strategy and frequency modulation method are selected from a strategy-method database; The frequency regulation strategies include: energy storage frequency regulation strategy, inverter frequency regulation strategy, multi-source power station frequency regulation strategy and comprehensive frequency regulation strategy; Among them, s represents the frequency regulation strategy; s1 represents the energy storage frequency regulation strategy; s2 represents the inverter frequency regulation strategy; s3 represents the multi-source power station frequency regulation strategy; s4 represents the comprehensive frequency regulation strategy; α1 represents the influence coefficient of the energy storage frequency regulation strategy on the fluctuation of the grid frequency; α2 represents the influence coefficient of the inverter frequency regulation strategy on the fluctuation of the grid frequency; α3 represents the influence coefficient of the multi-source power station frequency regulation strategy on the fluctuation of the grid frequency; min{α1, α2, α3} represents the minimum value among α1, α2, and α3; β s It represents the frequency regulation demand space of the power grid; β1 represents the frequency regulation redundancy space corresponding to the energy storage frequency regulation strategy; β2 represents the frequency regulation redundancy space corresponding to the inverter frequency regulation strategy; β3 represents the frequency regulation redundancy space corresponding to the multi-source power station frequency regulation strategy; β4 represents the frequency regulation redundancy space corresponding to the comprehensive frequency regulation strategy; max{β1, β2, β3} represents the maximum value among β1, β2 and β3; sum(β1, β2, β3) represents the sum of β1, β2 and β3.

8. A photovoltaic power station frequency regulation system, characterized in that: include: The data acquisition module is used to obtain the operation data of the photovoltaic power station in the process of grid connection and off-grid connection in real time, and output the grid connection and off-grid connection process data; A preprocessing module, used to preprocess the on-grid and off-grid process data using a preset preprocessing method to obtain data to be analyzed; A prediction module is used to extract features of the data to be analyzed, and select a matching preset prediction model from a model database based on the extracted features to perform prediction analysis on the data to be analyzed to obtain predicted data; The strategy-method matching module is used to analyze the data to be analyzed and the predicted data, select matching frequency modulation strategies and methods from the strategy-method database based on the analysis results, and perform frequency modulation on the corresponding photovoltaic equipment in the photovoltaic power station according to the frequency modulation strategies and methods, and optimize the frequency modulation strategy through a preset optimization method in combination with the frequency modulation process data.

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