Active islanding detection method using d-axis disturbance signal injection with intelligent control

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/106511

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106511

Title:	Active islanding detection method using d-axis disturbance signal injection with intelligent control
Authors:	林法正;Lin, Faa-Jeng;Huang, Yi-Sheng;Tan, Kuang-Hsiung;Chiu, Jian-Hsing;Chang, Yung-Ruei
Contributors:	資訊電機學院電機工程學系
Keywords:	Active control;active islanding detection method;active power tracking control;Applied sciences;Capacitance;Control systems;detection reliability;DG system;distributed generator system;distributed power generation;Disturbances;Disturbances. Regulation. Protection;d‐axis current;d‐axis disturbance signal injection;Electric connection. Cables. Wiring;Electric power distribution;Electric power systems;Electrical engineering. Electrical power engineering;Electrical machines;Electrical power engineering;Exact sciences and technology;frequency deviation;intelligent control;neurocontrollers;online learning algorithm;Power electronics, power supplies;power generation control;Power networks and lines;power quality;power supply quality;quasizero nondetection zone;reactive power control;reactive power tracking control;Regulation and control;RLC load terminal;Sensing devices;Signal injection;UL1741 antiislanding test configuration;Various equipment and components;wavelet fuzzy neural network intelligent controller;WFNN intelligent controller
Date:	2013-07-31
Issue Date:	2026-04-23 13:25:45 (UTC+8)
Publisher:	Institution of Engineering and Technology;Stevenage: The Institution of Engineering and Technology
Abstract:	摘要： An 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 new disturbance signal into the system through the d-axis current that leads to a frequency deviation at the terminal of the resistance inductance and capacitance (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, minimum effects on power quality and easy implementation without additional sensing devices or equipments. Moreover, in order to achieve accurate tracking control of active and reactive power and rapid response of the islanding detection of the distributed generator (DG) system, a wavelet fuzzy neural network (WFNN) intelligent controller is proposed to replace the conventional proportional–integral controller for the control of the DG system. Furthermore, the network structure and the online learning algorithm of the WFNN are introduced in detail. Finally, the feasibility and effectiveness of the proposed d-axis disturbance signal-injection method are verified with experimental results. 出版者： Stevenage: The Institution of Engineering and Technology 出版日期： 2013-05 出處： IET generation, transmission & distribution, 2013-05, Vol.7 (5), p.537-550 資源來源： Wiley Online Library Open Access 版權： The Institution of Engineering and Technology 版權： 2013 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology 版權： 2014 INIST-CNRS 版權： Copyright The Institution of Engineering & Technology 2013 識別號： ISSN: 1751-8687 識別號： ISSN: 1751-8695 識別號： EISSN: 1751-8695 識別號： DOI: 10.1049/iet-gtd.2012.0488
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	13	View/Open

社群 sharing

Loading...