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Intelligent Method for Online Adaptive Optimum Coordination of Overcurrent Relays

Producción científica: Conference contributionrevisión exhaustiva

9 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaClemson University Power Systems Conference, PSC 2018
ISBN (versión digital)9781728103167
DOI
EstadoPublished - jul 2 2018
Evento2018 Clemson University Power Systems Conference, PSC 2018 - Charleston, United States
Duración: sept 4 2018sept 7 2018

Serie de la publicación

NombreClemson University Power Systems Conference, PSC 2018

Conference

Conference2018 Clemson University Power Systems Conference, PSC 2018
País/TerritorioUnited States
CiudadCharleston
Período9/4/189/7/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. Affordable and clean energy
    Affordable and clean energy

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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