Algorithm for islanding detection in photovoltaic generator network connected to low-voltage grid

被引：29

作者：

Gupta, Nikita ^{[1
]}

Garg, Rachana ^{[1
]}

机构：

[1] Delhi Technol Univ, Dept Elect Engn, Delhi, India

来源：

IET GENERATION TRANSMISSION & DISTRIBUTION | 2018年 / 12卷 / 10期

关键词：

distributed power generation; power distribution faults; power generation faults; photovoltaic power systems; power grids; wavelet transforms; trees (mathematics); pattern classification; decision making; Simulink toolbox; MATLAB; nondetection zone reduction; decision making mechanism; binary tree classifier; wavelet packet transform; point of common coupling; negative sequence component analysis; islanding detection method; low-voltage grid; photovoltaic generator network; DISTRIBUTED GENERATION; WAVELET; POWER; SYSTEM; TRANSFORM; RELAY;

D O I：

10.1049/iet-gtd.2017.1735

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new islanding detection method has been developed based on the analysis of negative sequence components of the voltage at the point of common coupling, using wavelet packet transform. The binary tree classifier is used for decision-making mechanism. The proposed algorithm is able to reduce the non-detection zone to zero and is able to detect islanding within 5ms. The developed algorithm can also discriminate between the islanding and other events in the system. The simulation results carried out by MATLAB along with Simulink toolbox are used to test the performance of the proposed algorithm in a photovoltaic generator network connected to the low-voltage grid.

引用

页码：2280 / 2287

页数：8

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