Islanding Detection of Distributed Generation based on Wavelet Transform

doi:10.11930/j.issn.1004-9649.2016.10.142.06

Abstract

Abstract: To ensure the power supply quality for power customers and the safe operation of power systems, the distributed generation system is required to have islanding detection functions. In view of the shortcomings of conventional islanding detection methods for distributed generation systems, a new islanding detection method is proposed based on the wavelet transform. This method uses the wavelet transform to extract wavelet coefficient from the voltage of point of common coupling (pcc), and calculates the mean values of standard deviation and energy value of wavelet coefficient, and then determines the islanding through the preseted threshold value. It is proved through simulation that by overcoming the shortcomings of the conventional islanding detection methods, the proposed method can detect the occurrence of islanding quickly and accurately, and misoperation cannot happen even under various disturbances.

Key words: distributed generation, islanding detection, wavelet transform, standard deviation

CLC Number:

TM91
TM464

JIANG Xiaoping, GE Chang, GUI Meng. Islanding Detection of Distributed Generation based on Wavelet Transform[J]. Electric Power, 2016, 49(10): 142-147.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.10.142.06

https://www.electricpower.com.cn/EN/Y2016/V49/I10/142

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