Optimization of Shared Energy Storage Capacity Based on Multi-Objective Equilibrium Optimizer
With the extensive use of green energy,the demand for energy storage devices has correspondingly increased,requiring proportional investments to effectively address the uncertainties on both the supply and demand sides of the power grid.This has led to issues of high investment costs and long payback periods.To tackle the storage challenges brought about by the widespread application of green energy,this paper proposes a shared model for energy storage devices in multiple microgrids,aiming to significantly reduce the overall demand for energy storage capacity.To achieve this goal,a bi-level optimization method is designed,and a multi-objective equilibrium optimizer is proposed to solve the upper-level model,thereby avoiding convergence to local optima.Data experiments validate that,compared to traditional distributed energy storage methods,the shared model for energy storage devices in multiple microgrids reduces the required storage capacity of the system by 43.30%.Additionally,algorithm comparative results indicate that the proposed multi-objective optimization algorithm is sufficiently competitive.
bilateral uncertaintyshared energy storage modelmulti-objective optimization algorithmequilibrium optimizerenergy storage capacity optimizationrenewable energy consumption rate
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