Comparative study of metaheuristic algorithms for optimal sizing of standalone microgrids in a remote area community
This paper evaluates the performance and suitability of four different metaheuristic algorithms for optimal sizing of standalone microgrids in remote area. The studied metaheuristic algorithms are particle swarm optimization, differential evolution, water cycle algorithm and grey wolf optimization....
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| Format: | Article |
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Springer Science and Business Media Deutschland GmbH
2022
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