Reliability Assessment of Active Distribution Network Considering Path-Based Post-Fault Island Division

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The national strategic goals of achieving peak carbon dioxide emissions and carbon neutrality, distributed generation (DG) is widely applied in distribution networks. With the connection of large-scale DGs, the operating characteristics of the active distribution network and its reliability assessment are significantly influenced. In this paper, the reliability model of DG is established firstly, considering the island formation of the distribution network containing the DG, this paper proposes a fast island division model solved by the path search algorithm. Then, taking into account the load restoration in the island after failures, an improved minimal path method is proposed, and reliability indices are refined, which are suitable for the reliability assessment of active distribution networks. Case studies demonstrate that the proposed method can be flexibly applied to the reliability assessment of active distribution networks under multiple conditions. Moreover, the results illustrate that the system reliability are related to the capacity, location, and failure rate of DG, which provides a basis for reliability improvement of active distribution networks.

Original languageEnglish
Title of host publication2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages618-623
Number of pages6
ISBN (Electronic)9798350348279
DOIs
StatePublished - 2023
Event6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023 - Guangzhou, China
Duration: 12 May 202314 May 2023

Publication series

Name2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023

Conference

Conference6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023
Country/TerritoryChina
CityGuangzhou
Period12/05/2314/05/23

Keywords

  • distributed generation
  • distribution network
  • island division
  • minimal path algorithm
  • reliability assessment

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