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- W3213231222 abstract "In this paper, a metaheuristic method is suggested to attain the optimal locations and sizing of the battery energy storage system (BESS), with the intention to decrease the overall system losses in a distribution system. To increase the reliability of the outcome, simultaneous optimization approach is employed, where the optimization problem is solved using Whale Optimization Algorithm (WOA). The hourly variation of photovoltaic (PV) generation and load profile for up to one week is considered in this work. The performance of WOA is validated with Particle Swarm Optimization (PSO) and Firefly Algorithm (FA). The optimization outcomes proved the ability of WOA in attaining the optimal BESS allocations for overall system losses reduction where the optimal solutions suggested by WOA has achieved the highest overall system losses reduction, followed by PSO while FA has the worst performance in this application." @default.
- W3213231222 created "2021-11-22" @default.
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- W3213231222 date "2021-10-07" @default.
- W3213231222 modified "2023-10-02" @default.
- W3213231222 title "Optimal Allocation of Battery Energy Storage System Using Whale Optimization Algorithm" @default.
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- W3213231222 doi "https://doi.org/10.1109/iceccme52200.2021.9591039" @default.
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