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The research of photovoltaic array intelligent fault diagnosis based on the Bp neural network

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In consideration of the photovoltaic arrays fault characteristics and the limitations of traditional fault diagnosis methods, a intelligent fault diagnosis system for photovoltaic arrays based on BP neural network is proposed.; The faults' consequences of battery cracking, short circuit and the shadow is analyzed. The neural network is trained by appropriate fault samples. The simulation and experimental research on online fault diagnosis of photovoltaic modules in the Matlab environment are performed,and results proved the accuracy,effectiveness and environmental adaptability of the proposed system.

源语言英语
主期刊名Materials Science and Engineering Technology
出版商Trans Tech Publications Ltd
页2201-2206
页数6
ISBN(印刷版)9783038351023
DOI
出版状态已出版 - 2014
活动2014 International Conference on Materials Science and Engineering Technology, MSET 2014 - Shanghai, 中国
期限: 28 6月 2014 → 29 6月 2014

丛书

姓名Advanced Materials Research
卷936
ISSN(印刷版)1022-6680
ISSN(电子版)1662-8985

会议

会议2014 International Conference on Materials Science and Engineering Technology, MSET 2014
国家/地区中国
市Shanghai
时期28/06/14 → 29/06/14

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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