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所属单位：自动化学院

发表刊物：IFAC PAPERSONLINE

关键字：Islanding detection Data fusion Single-phase-inverter Non-detection zone (NDZ) Pseudo islanding phenomenon (PIP)

摘要：Islanding detection is an important issue in distributed generations (DGs) systems. Therefore, anti-islanding protection is a critical concern. A novel reactive power variation (RPV) islanding detection method based on correlation function data fusion and support vector machine (CFDF-SVM) approach is presented to reduce the non-detection zone (NDZ) and avoid the false detection caused by pseudo islanding phenomenon (PIP). The feature data sets (frequency, injected reactive power, fundamental and third harmonics of point of common coupling (PCC) voltage and current) are acquired by Fourier transform and fused by CFDF approach After that, the fused data sets are classified into two categories by an SVM approach: islanding and non-islanding. In addition, the proposed approach is based on the active intermittent RPV method which reduced the NDZ fundamentally. Compared with the traditional RPV method, the proposed method could detect islanding event accurately, and the false detection rate caused by PIP is significantly reduced. Then a single-phase-inverter is built by Simulink, the detection results have proved the effectiveness of the proposed method. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

ISSN号：2405-8963

是否译文：否

发表时间：2018-01-01

合写作者：陆宁云,姜斌,马亚杰,Wang, Xiuli

通讯作者：陈黎阳