Electric Power ›› 2016, Vol. 49 ›› Issue (7): 20-26.DOI: 10.11930/j.issn.1004-9649.2016.07.020.07

• Power System • Previous Articles     Next Articles

Reliability Evaluation of Complex Distribution Network Based on Improved Network-Equivalent and Fault Influence Matrix

ZHANG Jie1, 2, WANG Xiaogang2, DENG Zhijie3, LI Dongqi4, CHEN Guokun4   

  1. 1. School of Electric Power, South China University of Technology, Guangzhou 510640, China;
    2. School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China;
    3. Dongguan Power Supply Bureau, Dongguan 523000, China;
    4. CGNPC Wind Power Co., Ltd. Southern China Branch, Shenzhen 518031, China
  • Received:2015-12-10 Online:2016-07-20 Published:2016-07-28
  • Supported by:
    This work is supported by the Guangzhou Science and Technology Plan Projects under Grant (No; 1201431123)

Abstract: A new method is proposed for the reliability evaluation of complex distribution networks, which consists of multistage sub- feeders with breakers and protections installed. First, the complex distribution network is simplified into several simple node networks. The upward-equivalent node is connected to the branch switch directly in the improved network-equivalent method.The impact of the superior network on the lower network is treated as an area-node reliability index of the downward-equivalent simple node network,which is added to the reliability indexes in the subsequent computing process. The error of the traditional network-equivalent method is avoided in the improved method. Then a fast method based on the fault influence matrix is derived. The reliability indexes can be calculated using the proposed method. The effect of various switching devices on the system reliability is also taken into account during the computing process. It is not only as accurate as the FMEA method,but faster than the existing algorithms. Moreover, it is easy for programming. Test results are presented to illustrate the effectiveness of the algorithm.

Key words: power system, complex distribution networks, sub-feeders, reliability evaluation, network simplification, fault influence matrix, switch faults, automatic switch refusing to action

CLC Number: