Open AccessOptimal sizing and energy scheduling of isolated microgrid considering the battery lifetime degradation
Author(s) -
Muhammad Sufyan,
N.A. Rahim,
Chee Keong Tan,
Munir Azam Muhammad,
Siti Rohani Sheikh Raihan
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0211642
Subject(s) - microgrid , sizing , battery (electricity) , computer science , energy storage , automotive engineering , scheduling (production processes) , reliability engineering , renewable energy , firefly algorithm , electricity , power (physics) , particle swarm optimization , engineering , electrical engineering , operations management , art , physics , quantum mechanics , machine learning , visual arts
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.