A review of islanding detection techniques for renewable distributed generation systems

被引：200

作者：

Khamis, Aziah ^{[1
]}

Shareef, Hussain ^{[1
]}

Bizkevelci, Erdal ^{[2
]}

Khatib, Tamer ^{[1
]}

机构：

[1] Univ Kebangsaan Malaysia, Dept Elect Elect & Syst Engn, Bangi 43600, Malaysia

[2] Tubitak Uzay, Power Syst Dept, Ankara, Turkey

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2013年 / 28卷

关键词：

Islanding detection; Renewable distributed generation; Distributed generation (DG); ARTIFICIAL NEURAL-NETWORK; VOLTAGE UNBALANCE; RECOGNITION; PERFORMANCE; PREDICTION; IMPACT;

D O I：

10.1016/j.rser.2013.08.025

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Islanding detection of distributed generations (DGs) is one of the most important aspects of interconnecting DGs to the distribution system. Islanding detection techniques can generally be classified as remote methods, which are associated with islanding detection on the utility sides, and local methods, which are associated with islanding detection on the DG side. This paper presents a survey of various islanding detection techniques and their advantages and disadvantages. The paper focused on islanding detection using a conventional and intelligent technique. A summary table that compares and contrasts the existing methods is also presented. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：483 / 493

页数：11

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