Ibrahim et al. (2024) presented a method for optimal placement and sizing of BESS in power distribution networks. The method uses the Hunger Games Search Algorithm, which is inspired by the behavior of animals in finding food.
The integration of this optimally sized BESS resulted in substantial improvements in grid stability, reduction of energy deficits, and significant annual cost savings of $0.367 million.
Objective functions for BESS sizing can vary, but in general, it implies minimizing the total system cost, operational costs, and energy losses, while maximizing system reliability and RE utilization (Secchi et al., 2021; Ntube and Li, 2023).
The sizing methodology of BESS involves determining the optimal capacity and configuration to meet specific energy demands and operational constraints. This process typically utilizes multi-objective optimization techniques that balance various factors such as cost, efficiency, and reliability.
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