Active islanding detection method using wavelet fuzzy neural network

Faa Jeng Lin, Kuang Hsiung Tan, Jian Hsing Chiu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

15 引文 斯高帕斯(Scopus)

摘要

A novel active islanding detection method using d-axis disturbance signal injection with intelligent control is proposed in this study. The proposed active islanding detection method is based on injecting a disturbance signal into the system through the d-axis current which leads to a frequency deviation at the terminal of the RLC load when the grid is disconnected. The feasibility of the proposed method is evaluated under the UL1741 anti-islanding test configuration. The proposed d-axis disturbance signal injection method is intended to achieve a reliable detection with quasi zero non-detection zone (NDZ), minimum effects on power quality and easy implementation without additional sensing devices or equipments. Moreover, to further improve the performance of islanding detection method, a wavelet fuzzy neural network (WFNN) intelligent controller is proposed to replace the proportional-integral (PI) controller used in traditional injection method for islanding detection. Furthermore, the network structure and the on-line learning algorithm of the WFNN are introduced in detail. Finally, the feasibility and effectiveness of the proposed d-axis disturbance signal injection method is verified with experimental results.

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主出版物標題2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012
DOIs
出版狀態已出版 - 2012
事件2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012 - Brisbane, QLD, Australia
持續時間: 10 6月 201215 6月 2012

出版系列

名字IEEE International Conference on Fuzzy Systems
ISSN(列印)1098-7584

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???event.eventtypes.event.conference???2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012
國家/地區Australia
城市Brisbane, QLD
期間10/06/1215/06/12

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