CN-120999878-B - Photovoltaic module control strategy optimization method and system based on power deviation

CN120999878BCN 120999878 BCN120999878 BCN 120999878BCN-120999878-B

Abstract

The invention discloses a photovoltaic module control strategy optimization method and system based on power deviation, and relates to the technical field of intelligent operation and maintenance of photovoltaic power stations; the method comprises the steps of obtaining relative power deviation values of all components through power deviation operation, establishing a power transmission path matrix, mapping the relative power deviation values, analyzing and identifying target optimization nodes and mismatch nodes, and adjusting the working state of the components by taking the maximum photovoltaic effective summarized power as a target optimization strategy. The method solves the technical problems that the traditional control strategy optimization method does not consider the multi-level power structure and deviation conduction, is difficult to accurately identify key nodes and adapt to dynamic working conditions, and further causes low efficiency of power convergence and delayed strategy adjustment, and achieves the technical effects of accurately regulating and controlling the power of the photovoltaic system and improving the power generation efficiency and strategy suitability.

Inventors

SUO JIMING
LIANG XUAN
TANG MINGTAO
MA DI
SHI CHUANWEI
LIU YANG
CHEN FANGYUN
XIE WEI
YU QIQIANG
MA GUOHU

Assignees

国家电投集团湖北电力有限公司光伏分公司

Dates

Publication Date: 20260512
Application Date: 20250626

Claims (7)

1. The photovoltaic module control strategy optimization method based on the power deviation is characterized by comprising the following steps of: The interaction photovoltaic module monitoring and collecting module is used for acquiring real-time monitoring data of each photovoltaic module, wherein the real-time monitoring data comprise real-time output power and a multi-level photovoltaic power structure is constructed; Performing power deviation calculation on each photovoltaic module based on the multi-level photovoltaic power structure, acquiring real-time power data of each module and average power references of corresponding levels from a database of the photovoltaic hierarchical structure, and performing power deviation calculation on each module to obtain relative power deviation amount of each module, wherein the power deviation refers to deviation degree of real-time output power of the photovoltaic module relative to average power of a power partition level where the photovoltaic module is positioned; Establishing a power transmission path matrix of a photovoltaic power station, mapping the relative power deviation amount of each component into the power transmission path matrix, carrying out path response analysis, and identifying a target optimization node; identifying mismatched nodes with inhibition effect on path power transmission according to response radiation areas of the target optimization nodes in the power transmission path matrix; Performing strategy optimization based on the regulation and control influence of the target optimization node and the mismatch node by taking the maximum effective summary power of the photovoltaic as a target, and obtaining a photovoltaic control strategy for regulating the working state of the photovoltaic module; Building a multi-level photovoltaic power structure, comprising: Obtaining the geographic distribution position and the connection relation of photovoltaic modules in a photovoltaic power station, and identifying the power partition level in the power station, wherein the power partition level comprises a module level, a group cascade level, an array level and a system level; According to the power partition level, a photovoltaic level structure is constructed, and mapping association relation between each node in the photovoltaic level structure and monitoring acquisition equipment is established; projecting real-time monitoring data of the photovoltaic module into the photovoltaic hierarchical structure according to the mapping association relation to obtain the multi-level photovoltaic power structure, wherein the multi-level photovoltaic power structure comprises multi-level power nodes and a photovoltaic power structure mapped by the data; establishing a power transmission path matrix of the photovoltaic power station, comprising: identifying a power transmission path, numbering transmission units in the power transmission path as nodes, and obtaining a power node set; establishing directional connection edges among nodes in the power node set according to the electrical connection relation of the photovoltaic power station, and configuring edge weights based on cable parameters, connection resistance and historical operation attenuation characteristics; constructing a weighted directed graph structure according to the node set and the edge set; Converting the weighted directed graph structure into an adjacent matrix to obtain a power transmission path matrix of the photovoltaic power station; The identifying a target optimization node includes: Constructing a power deviation vector according to the relative power deviation values of the components; performing matrix multiplication operation by using the power deviation vector and the power transmission path matrix to obtain a path response weight vector; and identifying nodes with response weights greater than a threshold according to the path response weight vector, and obtaining the target optimization node.
2. The power deviation-based photovoltaic module control strategy optimization method according to claim 1, wherein constructing a photovoltaic hierarchy structure according to the power partition hierarchy comprises: acquiring inter-level partition rules of a power partition level, wherein the inter-level partition rules comprise component attribution relations, group string partition logics and array composition specifications; based on the inter-level partition rule, obtaining a level power summarizing relation, wherein the level power summarizing relation comprises a merging relation function from lower node power to upper node; and constructing a hierarchical structure according to the inter-hierarchical partition rule and the hierarchical power summarizing relation and the tree structure to obtain the photovoltaic hierarchical structure.
3. The photovoltaic module control strategy optimization method based on power deviation according to claim 1, wherein identifying mismatched nodes with a suppression effect on path power transmission according to response radiation areas of the target optimization nodes in the power transmission path matrix comprises: based on the power transmission path matrix, obtaining a response radiation area of the target optimization node, wherein the response radiation area is a node set which has a power transmission influence relationship with the target optimization node; synchronously acquiring I-V characteristic curve data of the photovoltaic modules in the response radiation area; based on the I-V characteristic curve data, extracting inflection point voltage, voltage attenuation rate and filling factor in a curve as mismatch characteristic quantity; Weighting and fusing the mismatch characteristic quantity and the edge weight in the power transmission path matrix, and calculating the suppression coefficient of each node; and screening nodes of which the node inhibition coefficients exceed a preset threshold value to obtain the mismatched nodes.
4. The photovoltaic module control strategy optimization method based on power deviation according to claim 3, wherein screening nodes whose node suppression coefficients exceed a preset threshold value comprises: acquiring a historical filling factor of the target photovoltaic module under standard test conditions, and calculating a filling factor standard deviation; acquiring an actual illumination intensity value under current environment illumination, and calculating the ratio of the actual illumination intensity value to the illumination intensity under standard test conditions to obtain an illumination ratio coefficient; And establishing a weight relation among the filling factor standard deviation, the illumination ratio coefficient and the dynamic threshold value, and carrying out weighted calculation to obtain the preset threshold value.
5. The method for optimizing a control strategy of a photovoltaic module based on power deviation according to claim 1, wherein the method for optimizing the strategy is performed based on the regulation and control effects of the target optimizing node and the mismatch node with the maximum total power of the photovoltaic module as a target, and the method for optimizing the strategy is used for adjusting the working state of the photovoltaic module and comprises the following steps: according to the power transmission path matrix, analyzing the path response relation of each photovoltaic level to the power station output power, and constructing an objective function with the maximum system output power as a target; Under the constraint that the working parameters of the components are adjustable, based on the regulation and control effects of the target optimization node and the mismatch node, strategy adjustment is carried out on the control parameters of the nodes, and strategy evaluation screening is carried out through the objective function, so that the photovoltaic control strategy with the maximum output power is obtained.
6. The photovoltaic module control strategy optimization method based on power deviation of claim 5, further comprising: Converting the photovoltaic control strategy into node injection amounts of a power transmission path matrix, and analyzing power convergence relations and control feedback paths among component levels, group strings and array levels of the node injection amounts based on a multi-level structure; Based on the power convergence relation and the control feedback path, constructing a system power distribution model, calculating a full-network power redistribution result, predicting voltage response values of key nodes of each level, and determining voltage offset of each key node relative to a stable running state; And when any node in the voltage offset exceeds a safety threshold set by a corresponding level, generating a strategy correction instruction, and adjusting relevant control parameters in a photovoltaic control strategy or blocking execution.
7. A photovoltaic module control strategy optimization system based on power deviation, characterized in that it is used for implementing the photovoltaic module control strategy optimization method based on power deviation according to any one of claims 1-6, said system comprising: The interactive photovoltaic module monitoring and collecting module is used for acquiring real-time monitoring data of each photovoltaic module, including real-time output power, and constructing a multi-level photovoltaic power structure; the relative power deviation amount acquisition module is used for carrying out power deviation calculation on each photovoltaic module based on the multi-level photovoltaic power structure to obtain the relative power deviation amount of each module; The target optimization node identification module is used for establishing a power transmission path matrix of the photovoltaic power station, mapping the relative power deviation of each component into the power transmission path matrix, and carrying out path response analysis to identify a target optimization node; The mismatched node identification module is used for identifying mismatched nodes with inhibition effect on path power transmission according to the response radiation area of the target optimized node in the power transmission path matrix; And the photovoltaic module working state adjusting module is used for performing strategy optimization based on the regulation and control influence of the target optimizing node and the mismatch node by taking the maximum effective total power of the photovoltaic as a target, so as to obtain a photovoltaic control strategy and adjust the working state of the photovoltaic module.

Description

Photovoltaic module control strategy optimization method and system based on power deviation Technical Field The invention relates to the technical field of intelligent operation and maintenance of photovoltaic power stations, in particular to a photovoltaic module control strategy optimization method and system based on power deviation. Background In a photovoltaic power station, component power is deviated due to performance difference, environmental change and the like, so that the power generation efficiency and system stability are influenced, and the optimization of a control strategy is important. The prior art mostly adopts conventional control means, but has the effects in simple scenes, but expands along with the scale of a power station, has complex environment and is not enough to be exposed. The traditional control strategy does not consider the multi-level power structure and deviation conduction, is difficult to accurately identify key nodes and adapt to dynamic working conditions, causes low efficiency of power convergence and delayed strategy adjustment, and cannot meet the high-efficiency operation requirement of a photovoltaic system, so that a strategy optimization method is required to be innovated, and control accuracy and power generation benefit are improved. Disclosure of Invention The application provides a photovoltaic module control strategy optimization method and system based on power deviation, which are used for solving the technical problems that a traditional control strategy optimization method does not consider a multi-level power structure and deviation conduction, and is difficult to accurately identify key nodes and adapt to dynamic working conditions, so that power convergence is low and strategy adjustment is lagged. The photovoltaic module control strategy optimization method based on power deviation comprises the steps of exchanging photovoltaic module monitoring acquisition modules to obtain real-time monitoring data of all photovoltaic modules, constructing a multi-level photovoltaic power structure, carrying out power deviation operation on all the photovoltaic modules based on the multi-level photovoltaic power structure to obtain relative power deviation values of all the modules, establishing a power transmission path matrix of a photovoltaic power station, mapping the relative power deviation values of all the modules into the power transmission path matrix, carrying out path response analysis, identifying target optimization nodes, identifying mismatched nodes with inhibition effect on path power transmission according to response radiation areas of the target optimization nodes in the power transmission path matrix, and carrying out strategy optimization based on regulation and control effects of the target optimization nodes and the mismatched nodes with maximum effective summarized power of the photovoltaic as a target to obtain a photovoltaic control strategy for regulating the working state of the photovoltaic modules. The application provides a photovoltaic module control strategy optimization system based on power deviation, which comprises an interactive photovoltaic module monitoring acquisition module, a relative power deviation acquisition module, a target optimization node identification module, a mismatch node identification module and a photovoltaic module working state adjustment module, wherein the interactive photovoltaic module monitoring acquisition module is used for acquiring real-time monitoring data of each photovoltaic module and comprises real-time output power, constructing a multi-level photovoltaic power structure, the relative power deviation acquisition module is used for carrying out power deviation operation on each photovoltaic module based on the multi-level photovoltaic power structure to acquire relative power deviation of each module, the target optimization node identification module is used for establishing a power transmission path matrix of a photovoltaic power station, mapping the relative power deviation of each module into the power transmission path matrix, carrying out path response analysis, identifying a target optimization node, identifying a mismatch node with an inhibition effect on path power transmission according to a response radiation area of the target optimization node in the power transmission path matrix, and carrying out strategy optimization based on regulation and control effects of the target optimization node with maximum photovoltaic effective summarized power, so as to acquire a photovoltaic control strategy and be used for adjusting the working state of the photovoltaic module. One or more technical schemes provided by the application have at least the following technical effects or advantages: According to the application, a multi-level photovoltaic power structure is constructed, component power data are collected and processed through mapping projection, deviation operation and the like,