Cover Image

Optimal allocation of battery energy storage system using whale optimization algorithm

Battery storage; Electric batteries; Battery energy storage systems; Firefly algorithms; Loss reduction; Meta-heuristic methods; Optimal allocation; Optimization algorithms; Overall system loss reduction; Performance; System loss; Whale optimization algorithm; Particle swarm optimization (PSO)

Saved in:
Bibliographic Details
Main Authors: Wong L.A., Ramachandaramurthy V.K.
Other Authors: 57205119530
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-25949
record_format dspace
spelling my.uniten.dspace-259492023-05-29T17:05:43Z Optimal allocation of battery energy storage system using whale optimization algorithm Wong L.A. Ramachandaramurthy V.K. 57205119530 6602912020 Battery storage; Electric batteries; Battery energy storage systems; Firefly algorithms; Loss reduction; Meta-heuristic methods; Optimal allocation; Optimization algorithms; Overall system loss reduction; Performance; System loss; Whale optimization algorithm; Particle swarm optimization (PSO) In this paper, a metaheuristic method is suggested to attain the optimal locations and sizing of the battery energy storage system (BESS), with the intention to decrease the overall system losses in a distribution system. To increase the reliability of the outcome, simultaneous optimization approach is employed, where the optimization problem is solved using Whale Optimization Algorithm (WOA). The hourly variation of photovoltaic (PV) generation and load profile for up to one week is considered in this work. The performance of WOA is validated with Particle Swarm Optimization (PSO) and Firefly Algorithm (FA). The optimization outcomes proved the ability of WOA in attaining the optimal BESS allocations for overall system losses reduction where the optimal solutions suggested by WOA has achieved the highest overall system losses reduction, followed by PSO while FA has the worst performance in this application. � 2021 IEEE. Final 2023-05-29T09:05:43Z 2023-05-29T09:05:43Z 2021 Conference Paper 10.1109/ICECCME52200.2021.9591039 2-s2.0-85119443208 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119443208&doi=10.1109%2fICECCME52200.2021.9591039&partnerID=40&md5=ab26e9c0e118556afdc9f0f04bbb936e https://irepository.uniten.edu.my/handle/123456789/25949 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Battery storage; Electric batteries; Battery energy storage systems; Firefly algorithms; Loss reduction; Meta-heuristic methods; Optimal allocation; Optimization algorithms; Overall system loss reduction; Performance; System loss; Whale optimization algorithm; Particle swarm optimization (PSO)
author2 57205119530
author_facet 57205119530
Wong L.A.
Ramachandaramurthy V.K.
format Conference Paper
author Wong L.A.
Ramachandaramurthy V.K.
spellingShingle Wong L.A.
Ramachandaramurthy V.K.
Optimal allocation of battery energy storage system using whale optimization algorithm
author_sort Wong L.A.
title Optimal allocation of battery energy storage system using whale optimization algorithm
title_short Optimal allocation of battery energy storage system using whale optimization algorithm
title_full Optimal allocation of battery energy storage system using whale optimization algorithm
title_fullStr Optimal allocation of battery energy storage system using whale optimization algorithm
title_full_unstemmed Optimal allocation of battery energy storage system using whale optimization algorithm
title_sort optimal allocation of battery energy storage system using whale optimization algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425636397383680
score 13.222552

Similar Items