Shandong Science ›› 2020, Vol. 33 ›› Issue (4): 117-123.doi: 10.3976/j.issn.1002-4026.2020.04.015

Previous Articles     Next Articles

Online monitoring and forewarning technology for repeated multiple power outages in distribution networks based on multi-source information fusion

XU Ming-ming1, NIU Rong-ze1, XIE Rui-rui1,CAO Wen-si2, WU Qing2   

  1. 1.State Grid Henan Electric Power Research Institute, Zhengzhou 450002, China;2.School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
  • Received:2019-11-01 Published:2020-07-27 Online:2020-07-28

Abstract: To address repeated multiple power outages in distribution networks, the multi-source outage information fusion technology based on service-oriented architecture is used to analyze the factors that affect the risk of repeated multiple power outage and forewarning of power outage classification in distribution networks. The Delphi method is used to establish the index evaluation system, a scoring standard and the weight of each factor is obtained, and the risk of repeated multiple power outage and forewarning model of power outage classification in distribution networks is built. Based on the analysis of an actual power outage case, the comprehensive probability value and hierarchical warning level of repetitive power outages are obtained, and these findings provide a new solution for controlling repetitive power outages.

Key words: repeated multiple power outages, serviceoriented architecture, multi-source information fusion, Delphi, grading warning

CLC Number: 

  • TM32

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0