Adaptive Coordination Mechanism of Overcurrent Relays using Evolutionary Optimization Algorithms for Distribution Systems with DGs

Dinar Orazgaliyev, Aidar Tleubayev, Baiken Zholdaskhan, H. S.V.S.Kumar Nunna, Aresh Dadlani, Suryanarayana Doolla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Directional current relays are one of the most common relays that are used in the protection of transmission and distribution lines. They provide reliable protection for the transmission lines. However, increasing proliferation of distributed energy sources may violate established relay coordination. This is caused by changes in fault current levels at the fault points, and thus coordination time interval of the relays are violated. This basically means that primary and backup relays do not operate in coordination with each other. Thus, it is vital to optimizing the relay settings in accordance with changing fault current levels. This paper proposes agent-based adaptive coordination mechanism of relay settings acquired by heuristic optimization algorithms in case of 19 bus IEEE test feeder with the presence of distributed generations.

Original languageEnglish
Title of host publicationSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728111568
DOIs
Publication statusPublished - Sep 1 2019
Event2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 - Porto, Portugal
Duration: Sep 9 2019Sep 11 2019

Publication series

NameSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Conference

Conference2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
CountryPortugal
CityPorto
Period9/9/199/11/19

Keywords

  • Coordination time interval
  • Distributed Generation
  • Firefly Algorithm
  • Genetic Algorithm
  • Relay Coordination

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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