Optimal Configuration of Shared Energy Storage in Multi-Microgrids

Abstract

An optimization model is proposed in this paper to allocate shared energy storage within multi-microgrids (MMGs). The model comprehensively considers system operation costs, energy storage allocation costs, and incorporates tiered carbon trading costs into the optimization objective, aiming to minimize overall system costs while maximizing carbon reduction benefits. Additionally, the Big-M method is employed to transform nonlinear constraints into a linear form, and case studies of specific MMGs systems are analyzed to validate the significant economic and environmental advantages of shared energy storage stations compared to individually allocated storage for each microgrid. Furthermore, the paper provides an in-depth discussion on the optimal configuration schemes, economic costs, and the impacts on carbon trading under varying scales of renewable energy integration. These findings offer theoretical insights for the optimal deployment of shared energy storage in the future development of power systems.