• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (2): 42-49.doi: 10.3969/j.issn.1000-7229.2016.02.006

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Fault Diagnosis of Distribution System with Distributed Generation Employing Transient Component

LEI Qian1, JI Xingquan1, WEN Fushuan2,3, LIU Zhipeng4, YU Yongjin1, XU Huanqi1   

  1. 1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266510, Shandong Province, China;2. School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;3. Department of Electrical and Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei;4. Power Dispatching and Control Center, Hainan Power Grid Corporation, Haikou 570203, China
  • Online:2016-02-01
  • Supported by:

    Project supported by National High Technology Research and Development Program of China (863 Program) (2015AA050202)

Abstract:

With the fast development of smart distribution systems, more and more distributed generation (DG) sources are connected, so traditional fault diagnosis approaches for distribution systems with single power source are no longer applicable. Given this background, this paper proposes a fault diagnosis method based on fault transient components and genetic algorithm for distribution systems with DGs. Considering that the DG connections make the transient zero-sequence current direction complicated at fault point, an improved coding method for feeder terminal units is presented by specifying the upstream and downstream power sources for each switch, and the priority level of a faulted line to be diagnosed is also taken into account. We adopt a wavelet based method to extract fault transient components, which is well applicable for the widely-implemented non-effective grounding in middle-voltage distribution systems in China, and can solve, to some extent, the problem of inconspicuous steady fault current with single-phase ground faults. Finally, we demonstrate the proposed method with a sample system, and analyze its fault tolerance performance for distorted and missing fault information.

Key words: distribution system, fault diagnosis, distributed generation, transient component, genetic algorithm

CLC Number: