Intelligent Method for Online Adaptive Optimum Coordination of Overcurrent Relays

Ke Xu, Yuan Liao

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

7 Scopus citations

Abstract

In power distribution systems, various abnormal events like faults may happen sometimes, which requires a reliable protective system. Overcurrent relays are most commonly employed in distribution systems among other types of protection systems. For the overcurrent relays, the coordination between them is very important in protection system. Coordination is to find the most appropriate settings for each relay including time dial settings (TDS) and pick up current settings. Current optimal coordination methods are developed under assumption of constant load and fixed DG output, which is a static condition. Therefore, they may not provide most appropriate, optimal settings of each relay for coordination in distribution system. This paper presents an intelligent online adaptive optimum coordination method for overcurrent relays using genetic algorithm for distribution systems when there are variations of load and distributed generations outputs. We have presented evaluation studies to demonstrate the proposed method.

Original languageEnglish
Title of host publicationClemson University Power Systems Conference, PSC 2018
ISBN (Electronic)9781728103167
DOIs
StatePublished - Jul 2 2018
Event2018 Clemson University Power Systems Conference, PSC 2018 - Charleston, United States
Duration: Sep 4 2018Sep 7 2018

Publication series

NameClemson University Power Systems Conference, PSC 2018

Conference

Conference2018 Clemson University Power Systems Conference, PSC 2018
Country/TerritoryUnited States
CityCharleston
Period9/4/189/7/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Distributed generation
  • Genetic algorithm
  • Intelligent online adaptive protection
  • Variation of load

ASJC Scopus subject areas

  • Signal Processing
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Computer Science Applications

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