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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/106515


    題名: Active islanding detection method via current injection disturbance using Elman neural network
    作者: 林法正;Lin, Faa-Jeng;Huang, Yi-Sheng;Tan, Kuang-Hsiung;Chang, Yung-Ruei
    貢獻者: 資訊電機學院電機工程學系
    關鍵詞: distributed generators;Elman neural network;islanding detection;non-detection zone
    日期: 2015-05-19
    上傳時間: 2026-04-23 13:25:50 (UTC+8)
    出版者: Taylor and Francis Ltd.;Taylor & Francis
    摘要: 摘要: Islanding detection is an essential protection requirement for distributed generators for personnel and equipment safety. This study presents a new active islanding detection method via current injection disturbance using intelligent tracking control of the active and reactive power commands. First, an active islanding detection method 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 is proposed. The feasibility of the proposed method is evaluated under the UL1741 anti-islanding test configuration. Then, to further improve the performance of the islanding detection method, an Elman neural network intelligent controller is adopted to replace the proportional-integral controller used in the traditional injection method for islanding detection. Moreover, the network structure and the online learning algorithm are described in detail. Finally, the feasibility and effectiveness of the proposed current injection disturbance method are verified with experimental results.
    出版者: Taylor & Francis
    出版日期: 2015-05-19
    出處: Journal of the Chinese Institute of Engineers, 2015-05, Vol.38 (4), p.517-535
    版權: 2015 The Chinese Institute of Engineers 2015
    識別號: ISSN: 0253-3839
    識別號: EISSN: 2158-7299
    識別號: DOI: 10.1080/02533839.2014.981934
    顯示於類別:[電機工程學系] 期刊論文

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