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基于图论的光伏系统多功率模块优化控制策略

王艳敏 宁佳铭 张伟琦 王小永

华中科技大学学报(自然科学版)2026,Vol.54Issue(1):14-20,7.
华中科技大学学报(自然科学版)2026,Vol.54Issue(1):14-20,7.DOI:10.13245/j.hust.250018

基于图论的光伏系统多功率模块优化控制策略

Optimal strategy for multi-power module control of photovoltaic system based on graph theory

王艳敏 1宁佳铭 1张伟琦 1王小永1

作者信息

  • 1. 哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150000
  • 折叠

摘要

Abstract

In order to solve the problems of uneven power distribution and easy influence of DC bus voltage in multi-power modules of photovoltaic system,a optimal strategy for multi-power module control of photovoltaic system based on graph theory was designed which improves the limitations of traditional droop control on the regulation of multi-branch photovoltaic systems.Firstly,based on the theory of tracking synchronization and coordination synchronization in graph theory,a consensus algorithm was constructed,and a secondary optimization controller for photovoltaic system was designed.Then,the Lyapunov function was used to prove the finite time convergence stability of the designed controller.Finally,three power modules with the same capacity are taken as an example to run in parallel,and the simulation analysis and experimental verification were carried out.Experimental results showed that the proposed optimal control strategy can quickly restore the DC bus-side voltage of the photovoltaic system to within the error range of±5%of the rated value when the load changes(3 times faster than conventional sag control),and has smaller spikes,and compared with the traditional droop control strategy,the output current deviation of each power module is greatly reduced(less than 2%),and the balanced distribution of each power module of the system is effectively realized.

关键词

光伏系统/图论/优化下垂控制策略/李雅普洛夫函数/功率分配

Key words

photovoltaic system/graph theory/optimize the dropping control strategy/Lyapunov function/power distribution

分类

信息技术与安全科学

引用本文复制引用

王艳敏,宁佳铭,张伟琦,王小永..基于图论的光伏系统多功率模块优化控制策略[J].华中科技大学学报(自然科学版),2026,54(1):14-20,7.

基金项目

国家自然科学基金资助项目(52238002,52277006) (52238002,52277006)

港口自发电集装箱码头智能微电网关键技术研究项目(2023-ZGKJ-ZDYF-03) (2023-ZGKJ-ZDYF-03)

哈尔滨市科技创新人才项目(RC2024DY395). (RC2024DY395)

华中科技大学学报(自然科学版)

1671-4512

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