A Genetic Algorithm Based Feeder-User Connection Mapping Method with Limited Meter Data in Distribution Networks

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

The dynamic topology of urban distribution power systems poses a significant challenge in accurately mapping energy supply districts, critical for illustrating feeder-household connections and ensuring efficient energy matching. Traditional approaches rely heavily on comprehensive smart meter data or the installation of new monitoring equipment, both of which are costly. This research proposes a novel genetic algorithm-based mapping technique that requires only energy consumption data. This approach leverages historical consumption patterns to produce feeder-user connection maps with high precision. A case study confirms the effectiveness of the algorithm in feeder-user connection mapping, and shows its potential for utility management optimization.

Original languageEnglish
Title of host publicationProceedings - 2024 Prognostics and System Health Management Conference, PHM 2024
EditorsZiqiang Pu, Versna Spasic-Jokic, Platon Sovilj, Yifan Wu
Place of PublicationU. S. A.
PublisherIEEE
Pages376-379
Number of pages4
ISBN (Electronic)9798350360585
DOIs
Publication statusPublished - 31 May 2024
Event2024 Prognostics and System Health Management Conference, PHM 2024 - Stockholm, Sweden
Duration: 28 May 202431 May 2024

Publication series

NameProceedings - 2024 Prognostics and System Health Management Conference, PHM 2024

Conference

Conference2024 Prognostics and System Health Management Conference, PHM 2024
Country/TerritorySweden
CityStockholm
Period28/05/2431/05/24

Keywords

  • connection mapping
  • distribution power system
  • energy supply district
  • genetic algorithmd

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Decision Sciences (miscellaneous)
  • Control and Systems Engineering

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