Enhanced self-adaptive differential evolution multi-Objective algorithm for coordination of directional overcurrent relays contemplating maximum and minimum fault points

In this study, a parameter tune free enhanced self-adaptive differential evolution multi-objective (ESA-DEMO) approach has been proposed for coordination of directional overcurrent relays. The advantages of the proposed method are: avoid the use of conventional single-objective function, which requi...

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Bibliographic Details
Published in:	IET generation, transmission & distribution Vol. 13; no. 21; pp. 4842 - 4852
Main Authors:	Shih, Meng Yen, Conde, Arturo, Ángeles-Camacho, Cesar
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 05.11.2019
Subjects:	30‐bus systems algorithm parameters avoid tuning coordination constraints directional overcurrent relays ESA‐DEMO algorithm evolutionary computation fast algorithm execution time genetic algorithms interconnected network low computational resource consumption minimum fault points optimisation overcurrent protection popular genetic algorithms protection coordination study relay protection Research Article self‐adaptive differential evolution multiobjective approach single‐objective function state‐of‐the‐art multiobjective two‐fault point coordination criterion zero violation minimum fault points zero violation interconnected network coordination constraints genetic algorithms state-of-the-art multiobjective low computational resource consumption directional overcurrent relays single-objective function popular genetic algorithms two-fault point coordination criterion algorithm parameters evolutionary computation optimisation relay protection protection coordination study self-adaptive differential evolution multiobjective approach overcurrent protection ESA-DEMO algorithm avoid tuning 30-bus systems fast algorithm execution time
ISSN:	1751-8687, 1751-8695
Online Access:	Get full text
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