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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Description
Summary: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 requires tuning of weighting parameters; avoid tuning of algorithm parameters; minimisation of primary, backup and coordination time interval; zero violation of coordination constraints in large interconnected network; and low computational resource consumption leading to fast algorithm execution time. The proposed method has been implemented on the highly interconnected 6-bus, IEEE 14- and 30-bus systems, where results have shown robustness and consistency of the algorithm. Moreover, two-fault point coordination criterion considering close- and far-end (maximum and minimum) faults has been performed. ESA-DEMO has been compared with popular genetic algorithms and state-of-the-art multi-objective algorithm for protection coordination study.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2018.6995