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Author:

Qi X. (Qi X..) | Yang X. (Yang X..) | Xiong X. (Xiong X..) | Cao J. (Cao J..)

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Abstract:

The analysis process of the overall reliability evaluation model of the traditional photovoltaic power generation system is complicated, and the shortcomings of the system weak link cannot be analyzed. This paper proposes a fuzzy hierarchical evaluation method based on sensitivity analysis to evaluate the reliability of photovoltaic power generation systems. The method judges the whole system failure factor by introducing the fault frequency, the degree of fault impact, and the second evaluation criterion of the fault detection difficulty. In particular, the Monte Carlo-based component sensitivity analysis method is used to calculate the degree of fault impact. Finally, the method of this paper is used to analyze a photovoltaic power generation system. The effectiveness of the proposed method is verified by the overall reliability analysis and the evaluation of fault factors. It is proved that the method is of great significance for analyzing the reliability of the photovoltaic system and the weak link of the system. © 2019 IEEE.

Keyword:

Fuzzy layering evaluation method; Monte Carlo; Photovoltaic power generation system; Sensitivity analysis

Author Community:

  • [ 1 ] School of Electrical Engineering, Xi'An Jiaotong University, Xi'an, China

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Source :

PEDG 2019 - 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems

Year: 2019

Page: 258-263

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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