Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/20949
Title: Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm
Authors: Wong L.A.
Ramachandaramurthy V.K.
Walker S.L.
Taylor P.
Sanjari M.J.
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
Issue Date: 2019
Abstract: This paper proposes an approach for optimal placement and sizing of battery energy storage system (BESS) to reduce the power losses in the distribution grid. A meta-heuristic optimization algorithm known as Whale Optimization Algorithm (WOA) is introduced to perform the optimization. In this paper, two different approaches are presented to achieve the optimal allocation of the BESS. The first approach is to obtain the optimal location and sizing in two steps while the second approach optimizes both location and sizing simultaneously. The performance of the proposed technique has been validated by comparing with two other algorithms namely firefly algorithm and particle swarm optimization. The results show that WOA has outstanding performance in attaining the optimal location and sizing of BESS in the distribution network for power losses reduction. © 2019 Elsevier Ltd
URI: http://dspace2020.uniten.edu.my:8080/handle/123456789/20949
Appears in Collections:UNITEN Ebook and Article

Files in This Item:
File Description SizeFormat 
This document is not yet available.pdf
  Restricted Access
396.12 kBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.