Optimal sizing and energy scheduling of isolated microgrid considering the battery lifetime degradation

Sufyan, Muhammad and Rahim, Nasrudin Abd and Tan, Chia Kwang and Muhammad, Munir Azam and Raihan, Siti Rohani Sheikh (2019) Optimal sizing and energy scheduling of isolated microgrid considering the battery lifetime degradation. PLoS ONE, 14 (2). e0211642. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0211642.

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Official URL: https://doi.org/10.1371/journal.pone.0211642

Abstract

The incessantly growing demand for electricity in today’s world claims an efficient and reliable system of energy supply. Distributed energy resources such as diesel generators, wind energy and solar energy can be combined within a microgrid to provide energy to the consumers in a sustainable manner. In order to ensure more reliable and economical energy supply, battery storage system is integrated within the microgrid. In this article, operating cost of isolated microgrid is reduced by economic scheduling considering the optimal size of the battery. However, deep discharge shortens the lifetime of battery operation. Therefore, the real time battery operation cost is modeled considering the depth of discharge at each time interval. Moreover, the proposed economic scheduling with battery sizing is optimized using firefly algorithm (FA). The efficacy of FA is compared with other metaheuristic techniques in terms of performance measurement indices, which are cost of electricity and loss of power supply probability. The results show that the proposed technique reduces the cost of microgrid and attain optimal size of the battery. © 2019 Sufyan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Algorithms; Electric Power Supplies; Electricity; Solar Energy; Wind
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Deputy Vice Chancellor (Research & Innovation) Office > UM Power Energy Dedicated Advanced Centre
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 09 Jan 2020 04:57
Last Modified: 09 Jan 2020 04:57
URI: http://eprints.um.edu.my/id/eprint/23379

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