Research summary on fault location technology of power distribution network based on intelligent algorithm

Hai Li, Yunjie Zhou, Bangle He, Jie Zhou, Zhou Hong, Tianyu Yang, Jinghua Sun

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

Abstract

With the development of social economy, it is of great significance to study the distribution network fault detection and positioning technology to improve the reliability of power supply. This paper describes the common methods, including signal injection method, impedance method, ratio method, traveling wave method and intelligent algorithm. At the same time, the advantages and disadvantages of these methods, the application scope and the practical application effect are compared and sorted out. The results show that the intelligent algorithm has good speed, accuracy and fault tolerance in the fault location of the distribution network. Subsequently, the principle and application of intelligent algorithm are elaborated in detail, and the neural network, ant colony algorithm and different fault location algorithms based on HHT and genetic algorithm are listed. The core technology points of these algorithms are introduced one by one, showing the strong advantages of intelligent algorithm in the fault positioning of the distribution network. To sum up, intelligent algorithm is likely to become an important technical means for fault positioning of distribution network in the future, and has important theoretical and research significance for power grid security and technical development.

Original languageEnglish
Title of host publicationProceedings of 2024 International Conference on Power Electronics and Artificial Intelligence, PEAI 2024
PublisherAssociation for Computing Machinery
Pages410-415
Number of pages6
ISBN (Electronic)9798400716638
DOIs
Publication statusPublished - 19 Jan 2024
Externally publishedYes
Event2024 International Conference on Power Electronics and Artificial Intelligence, PEAI 2024 - Hybrid, Xiamen, China
Duration: 19 Jan 202421 Jan 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2024 International Conference on Power Electronics and Artificial Intelligence, PEAI 2024
Country/TerritoryChina
CityHybrid, Xiamen
Period19/01/2421/01/24

Keywords

  • Fault location
  • Genetic algorithm
  • Single phase grounding

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