• 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 ›› 2018, Vol. 39 ›› Issue (8): 111-115.doi: 10.3969/j.issn.1000-7229.2018.08.014

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Risk Evaluation of Repeated Multiple Power Outages in the Distribution Network

XU Mingming1, YAO Sen2, NIU Rongze1, HU Bo2, XU Hengbo1, XIE Kaigui2, ZHOU Ning1, HAO Yu2   

  1. 1.Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China;2. State Key Laboratory of Power Transmission Equipment & System Security and New Technology(School of Electrical, Chongqing University), Chongqing 400044, China
  • Online:2018-08-01
  • Supported by:
    This work is supported by State Grid Corporation of China Research Program (No. SGHADK00PJJS1600050).

Abstract: This paper presents a risk identification method for repeated multiple power outages in distribution networks. First, the frequency of repeated multiple power outages in distribution networks is defined, and a risk early-warning index of repeated multiple power outages is proposed on the basis of the occurrence probability and the severity of outages. To accurately depict the impact of number of outages on the risk-warning index, a repeated power outage influencing factor is proposed for index correction. The probability of power outage is depicted by indices of equipment level, operation and maintenance level and grid structure level respectively, and the severity of power outage is depicted by the importance of outage load, complaints information of historical outages and the number of users affected by the power outage. Then, on the basis of analytic hierarchy process (AHP) and entropy method, risk-warning evaluation of repeated multiple power outages in the distribution network is carried out. Finally, according to the quantitative results of evaluation, lines with greater risk of repeated multiple power outages are identified. The analysis of three 10 kV lines of State Grid Henan Electric Power Company is taken as an example. The example shows that the proposed indices and methods can effectively evaluate the risk of repeated multiple power outages in distribution lines and identify the lines with higher risk.

Key words: distribution network, repeated multiple power outage, risk evaluation, analytic hierarchy process (AHP), entropy method

CLC Number: