Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid
Electric batteries; Energy management; Energy management systems; Genetic algorithms; Integer programming; Operating costs; Particle swarm optimization (PSO); Artificial bee colonies (ABC); Battery energy storage systems; battery sizing; Gravitational search algorithm (GSA); Grey Wolf Optimizer; Met...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-236502023-05-29T14:50:45Z Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid Sukumar S. Marsadek M. Ramasamy A. Mokhlis H. 57192673539 26423183000 16023154400 8136874200 Electric batteries; Energy management; Energy management systems; Genetic algorithms; Integer programming; Operating costs; Particle swarm optimization (PSO); Artificial bee colonies (ABC); Battery energy storage systems; battery sizing; Gravitational search algorithm (GSA); Grey Wolf Optimizer; Meta-heuristic optimization techniques; Micro grid; Mixed integer linear programming (MILP); Battery storage Battery energy storage systems (BESSs) can support microgrid's economic operation. In this paper, the optimal capacity of BESS is determined for economic operation of microgrid. The BESS sizing problem is solved simultaneously with 'mix-mode energy management system' (MM-EMS). Here, the MM-EMS is solved using linear programming (LP), and mixed integer linear programming (MILP) optimization techniques. Metaheuristic optimization techniques such as grey Wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA) and genetic algorithm (GA) are used to solve the BESS sizing problem and a comparison of its performance is also carried out. It was found that GWO produces the most optimal solution than other optimization techniques. With this, the performance of the proposed BESS sizing method is validated with traditional tradeoff method. Moreover, a comparison in microgrid's operating cost with and without BESS is carried out. It was also found that, 70% savings in microgrid's operating cost can be achieved when microgrid is operated with BESS. � 2018 IEEE. Final 2023-05-29T06:50:45Z 2023-05-29T06:50:45Z 2018 Conference Paper 10.1109/EEEIC.2018.8494501 2-s2.0-85056500103 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056500103&doi=10.1109%2fEEEIC.2018.8494501&partnerID=40&md5=3762a9bbf776540bade962b3efa3e6cb https://irepository.uniten.edu.my/handle/123456789/23650 8494501 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Electric batteries; Energy management; Energy management systems; Genetic algorithms; Integer programming; Operating costs; Particle swarm optimization (PSO); Artificial bee colonies (ABC); Battery energy storage systems; battery sizing; Gravitational search algorithm (GSA); Grey Wolf Optimizer; Meta-heuristic optimization techniques; Micro grid; Mixed integer linear programming (MILP); Battery storage |
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57192673539 |
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57192673539 Sukumar S. Marsadek M. Ramasamy A. Mokhlis H. |
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Conference Paper |
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Sukumar S. Marsadek M. Ramasamy A. Mokhlis H. |
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Sukumar S. Marsadek M. Ramasamy A. Mokhlis H. Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid |
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Sukumar S. |
title |
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid |
title_short |
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid |
title_full |
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid |
title_fullStr |
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid |
title_full_unstemmed |
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid |
title_sort |
grey wolf optimizer based battery energy storage system sizing for economic operation of microgrid |
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Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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1806427587731259392 |