Intelligent islanding detection of distributed generation using VMD-HT of modal voltage signal

カテゴリ: 研究会(論文単位)

論文No: PE19062

グループ名: 【B】電力・エネルギー部門 電力技術研究会

発行日: 2019/09/10

タイトル(英語): Intelligent islanding detection of distributed generation using VMD-HT of modal voltage signal

著者名: Admasie Samuel(Sungkyunkwan university),Gush Teke(Sungkyunkwan university),Bukhari Syed Basit Ali(Sungkyunkwan university),Kim Chul Hwan(Sungkyunkwan university)

著者名(英語): Samue Admasie(Sungkyunkwan university),Teke Gush(Sungkyunkwan university),Syed Basit Ali Bukhari(Sungkyunkwan university),Chul Hwan Kim(Sungkyunkwan university)

キーワード: Islanding detection|distributed energy resources|multilayer perceptron|variational mode decomposition|hilbert transform|microgrid|Islanding detection|distributed energy resources|multilayer perceptron|variational mode decomposition|hilbert transform|microgrid

要約(日本語): Clean energy incentives and market deregulation in the power industry have led to an increase in the integration of distributed energy resources (DERs) to microgrids. However, islanding operation is one of the major protection problems in the DER integrated microgrids. In this study, an intelligent islanding detection scheme using variational mode decomposition-Hilbert transform of modal voltage signal features is proposed. The proposed scheme uses optimized multilayer perceptron to identify the islanding operations from other non-islanding events. To evaluate the performance of the proposed scheme, several datasets of islanding and non-islanding events including uncertainty are analyzed. Simulation results indicate that the proposed scheme successfully distinguish islanding from other non-islanding events.

要約(英語): Clean energy incentives and market deregulation in the power industry have led to an increase in the integration of distributed energy resources (DERs) to microgrids. However, islanding operation is one of the major protection problems in the DER integrated microgrids. In this study, an intelligent islanding detection scheme using variational mode decomposition-Hilbert transform of modal voltage signal features is proposed. The proposed scheme uses optimized multilayer perceptron to identify the islanding operations from other non-islanding events. To evaluate the performance of the proposed scheme, several datasets of islanding and non-islanding events including uncertainty are analyzed. Simulation results indicate that the proposed scheme successfully distinguish islanding from other non-islanding events.

原稿種別: 英語

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