Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71400
Title: Optimal siting and sizing of battery energy storage systems for distribution network of distribution system operators
Authors: Panyawoot Boonluk
Apirat Siritaratiwat
Pradit Fuangfoo
Sirote Khunkitti
Authors: Panyawoot Boonluk
Apirat Siritaratiwat
Pradit Fuangfoo
Sirote Khunkitti
Keywords: Chemistry;Energy;Engineering
Issue Date: 1-Dec-2020
Abstract: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. In this work, optimal siting and sizing of a battery energy storage system (BESS) in a distribution network with renewable energy sources (RESs) of distribution network operators (DNO) are presented to reduce the effect of RES fluctuations for power generation reliability and quality. The optimal siting and sizing of the BESS are found by minimizing the costs caused by the voltage deviations, power losses, and peak demands in the distribution network for improving the performance of the distribution network. The simulation results of the BESS installation were evaluated in the IEEE 33-bus distribution network. Genetic algorithm (GA) and particle swarm optimization (PSO) were adopted to solve this optimization problem, and the results obtained from these two algorithms were compared. After the BESS installation in the distribution network, the voltage deviations, power losses, and peak demands were reduced when compared to those of the case without BESS installation.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097303777&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/71400
ISSN: 23130105
Appears in Collections:CMUL: Journal Articles

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