Active islanding detection method via current injection disturbance using Elman neural network

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/106515

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106515

Title:	Active islanding detection method via current injection disturbance using Elman neural network
Authors:	林法正;Lin, Faa-Jeng;Huang, Yi-Sheng;Tan, Kuang-Hsiung;Chang, Yung-Ruei
Contributors:	資訊電機學院電機工程學系
Keywords:	distributed generators;Elman neural network;islanding detection;non-detection zone
Date:	2015-05-19
Issue Date:	2026-04-23 13:25:50 (UTC+8)
Publisher:	Taylor and Francis Ltd.;Taylor & Francis
Abstract:	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
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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