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:
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可持续发展目标 7 经济适用的清洁能源
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