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Journal of Applied Mathematics
Volume 2014, Article ID 969361, 9 pages
Research Article

A New Method of PV Array Faults Diagnosis in Smart Grid

School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China

Received 19 November 2013; Accepted 24 June 2014; Published 10 July 2014

Academic Editor: H. D. Chiang

Copyright © 2014 Ze Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A new fault diagnosis method is proposed for PV arrays with SP connection in this study, the advantages of which are that it would minimize the number of sensors needed and that the accuracy and anti-interference ability are improved with the introduction of fuzzy group decision-making theory. We considered five “decision makers” contributing to the diagnosis of PV array faults, including voltage, current, environmental temperature, panel temperature, and solar illumination. The accuracy and reliability of the proposed method were verified experimentally, and the possible factors contributing to diagnosis deviation were analyzed, based on which solutions were suggested to reduce or eliminate errors in aspects of hardware and software.