上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 9: 1383 - 1396

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.503

新型电力系统与综合能源

基于光伏组件参数辨识的故障诊断分析

  • 吕艳玲 ,
  • 钟晨 ,
  • 刘志鹏
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  • 1 哈尔滨理工大学 电气与电子工程学院, 哈尔滨 150080
    2 国网黑龙江省电力有限公司电力科学研究院, 哈尔滨 150000
吕艳玲(1975—),教授,博士生导师,从事大型发电机的运行和保护、发电机及其系统运行分析、电力系统故障和保护分析研究. E-mail:yanling0828@163.com.

收稿日期: 2023-10-02

  修回日期: 2023-12-09

  录用日期: 2024-01-24

  网络出版日期: 2024-02-08

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Fault Diagnosis Analysis Based on Parameter Identification of Photovoltaic Module

  • Lü Yanling ,
  • ZHONG Chen ,
  • LIU Zhipeng
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  • 1 School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China
    2 State Grid Heilongjiang Electric Power Co., Ltd. Research Institute, Harbin 150000, China

Received date: 2023-10-02

  Revised date: 2023-12-09

  Accepted date: 2024-01-24

  Online published: 2024-02-08

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摘要

为利用光伏板运行数据辨识光伏电池的重要参数,并通过这些参数诊断其运行状态,将二阶Bézier函数与自适应战争策略算法相结合,得到硅基光伏电池单二极管拓扑中光生电流、二极管反向饱和电流、二极管理想因子、串联电阻和并联电阻5个未知参数最优解的方法;对阴影、老化、短路和开路4种常见的故障进行理论和仿真分析.通过实验验证,对比辨识结果中参数的变化与故障类型,得出光伏单二极管模型5个参数与4种典型故障类型存在一定的对应关系,并得到不同故障类型下光伏组件各输出量的变化规律,为光伏电池故障判别及电池性能的判断提供参考.

关键词： 光伏电池; 单二极管模型; 参数辨识; 故障判别; Bézier函数; 战争策略优化

本文引用格式

吕艳玲 , 钟晨 , 刘志鹏 . 基于光伏组件参数辨识的故障诊断分析[J]. 上海交通大学学报, 2025 , 59(9) : 1383 -1396 . DOI: 10.16183/j.cnki.jsjtu.2023.503

Abstract

To utilize the operation data of photovoltaic(PV) panels for identifying key parameters of PV cells and diagnosing their operation status, the second-order Bézier function is combined with the adaptive war strategy optimization algorithm to obtain the optimal solutions for the five unknown parameters of silicon-based PV cell single diode topology: photogenerated current, diode reverse saturation current, diode ideal factor, series resistance and parallel resistance. The method includes theoretical and simulation analyses of four common faults, namely, shadowing, aging, short-circuit and open-circuit. By comparing the changes of the parameters in the identification results and the types of faults based on experimental validation, it is concluded that there is a certain correspondence between the five parameters of the PV single diode model and the four typical fault types. Additionly, the output behavior of PV modules in different fault types is characterized, which provides a reference for the identification of PV cell faults and the judgment of battery performance.

Key words： photovoltaic (PV) cell; single diode model; parameter identification; fault discrimination; Bézier function; war strategy optimization

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