Design of fuzzy probabilistic wavelet neural network controller and its application in power control of grid-connected pv system during grid faults

Faa Jeng Lin, Kuang Chin Lu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

A controller using fuzzy probabilistic wavelet neural network (FPWNN) for grid-connected photovoltaic (PV) system during grid faults is proposed in this study. The FPWNN controller is developed to control the output reactive and active power of the grid-connected inverter which also considers the ratio of the injected reactive current to meet the low voltage ride through (LVRT) regulations. Moreover, the balance of the active power between the PV panel and the grid-connected inverter during grid faults is controlled by the dc-link bus voltage. Furthermore, to reduce the risk of over-current during LVRT operation, a current limit is predefined for the injection of reactive current. The main contribution of this study is the design of the FPWNN controller for reactive and active power control that provides LVRT operation with power balance under various grid fault conditions. Finally, some experimental tests are realized to validate the effectiveness of the proposed control scheme.

原文???core.languages.en_GB???
主出版物標題2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1725-1732
頁數8
ISBN(電子)9781509006250
DOIs
出版狀態已出版 - 7 11月 2016
事件2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 - Vancouver, Canada
持續時間: 24 7月 201629 7月 2016

出版系列

名字2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

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???event.eventtypes.event.conference???2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
國家/地區Canada
城市Vancouver
期間24/07/1629/07/16

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