A New Method of PV Array Faults Diagnosis in Smart Grid | Zendy

Ze Cheng | Zendy; Yucui Wang | Zendy; Silu Cheng | Zendy

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A New Method of PV Array Faults Diagnosis in Smart Grid

Author(s) -

Ze Cheng,

Yucui Wang,

Silu Cheng

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/969361

Subject(s) - reliability (semiconductor) , computer science , fault (geology) , reliability engineering , photovoltaic system , fuzzy logic , interference (communication) , grid , voltage , electronic engineering , artificial intelligence , electrical engineering , telecommunications , mathematics , engineering , power (physics) , channel (broadcasting) , physics , geometry , quantum mechanics , seismology , geology

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

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