Hunan Electric Power ›› 2024, Vol. 44 ›› Issue (6): 17-23.doi: 10.3969/j.issn.1008-0198.2024.06.003

• Invited Column: New Power System • Previous Articles     Next Articles

Active Distribution Network Reliability Assessment Con‍sidering Unknown Network Topology

QI Yunrui1, ZHANG Ye2, LI Yuanfang1, GAO Yehao1, HUANG Xinyue1   

  1. 1. College of Electrical and Automation Engineering, Shandong University of Science and Technology,Qingdao 266590, China;
    2. State Grid Jinan Power Supply Company, Jinan 250012, China
  • Received:2024-09-20 Revised:2024-11-04 Online:2024-12-25 Published:2024-12-25

Abstract: Aiming at the problems caused by the large-scale integration of distributed power sources into the distribution network in the form of microgrids,such as the increase of system operation uncertainty, the frequent action of protection devices,and the complex and changeable network topology,a reliability assessment method for active distribution network considering the unknown network topology is proposed. Firstly, a reliability assessment model for distribution system containing microgrids is constructed, and the reliability index of distribution network with unknown topology is modeled by considering the relationship between active distribution network reliability and network topology. Next,a reliability assessment method for distribution network based on the sequential Monte Carlo simulation methodis is proposed,which is applied to the calculation of different reliability indices. Finally, an active distribution grid with microgrid access in a certain region is used as the content for calculation,and the reliability indicators are not signicantly different from the actual indicators, which indicates that the proposed method can effectively assess the reliability of active distribution networks with unknown topology, and the selection of microgrid system parameters can be guided according to the pre-determined reliability indices.

Key words: active distribution network, Monte Carlo simulation, reliability indicator, microgrids, unknown network topology

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