Identifying PV module mismatch faults by a thermography-based temperature distribution analysis

Yihua Hu, Wenping Cao, Jien Ma, Stephen J. Finney, David Li

Research output: Contribution to journalArticle

79 Citations (Scopus)

Abstract

Photovoltaic (PV) solar power generation is proven to be effective and sustainable but is currently hampered by relatively high costs and low conversion efficiency. This paper addresses both issues by presenting a low-cost and efficient temperature distribution analysis for identifying PV module mismatch faults by thermography. Mismatch faults reduce the power output and cause potential damage to PV cells. This paper first defines three fault categories in terms of fault levels, which lead to different terminal characteristics of the PV modules. The investigation of three faults is also conducted analytically and experimentally, and maintenance suggestions are also provided for different fault types. The proposed methodology is developed to combine the electrical and thermal characteristics of PV cells subjected to different fault mechanisms through simulation and experimental tests. Furthermore, the fault diagnosis method can be incorporated into the maximum power point tracking schemes to shift the operating point of the PV string. The developed technology has improved over the existing ones in locating the faulty cell by a thermal camera, providing a remedial measure, and maximizing the power output under faulty conditions.

Original languageEnglish
Pages (from-to)951-960
Number of pages10
JournalIEEE Transactions on Device and Materials Reliability
Volume14
Issue number4
DOIs
Publication statusPublished - 01 Dec 2014

Keywords

  • Degradation
  • fault diagnosis
  • photovoltaic (PV) power systems
  • temperature
  • thermography

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Safety, Risk, Reliability and Quality

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