Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

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

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

New Type Power System and the Integrated Energy

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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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

Cite this article

Lü Yanling , ZHONG Chen , LIU Zhipeng . Fault Diagnosis Analysis Based on Parameter Identification of Photovoltaic Module[J]. Journal of Shanghai Jiaotong University, 2025 , 59(9) : 1383 -1396 . DOI: 10.16183/j.cnki.jsjtu.2023.503

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