Green storage plays a key role in modern logistics and is committed to minimizing the environmental impact. To promote the transformation of traditional storage to green storage, research on the capacity allocation of wind-solar-storage microgrids for green. . This research proposes an effective energy management system for a small-scale hybrid microgrid that is based on solar, wind, and batteries. In order to evaluate the functionality of the hybrid microgrid, power electronic converters, controllers, control algorithms, and battery storage systems have. . A two-layer optimization model and an improved snake optimization algorithm (ISOA) are proposed to solve the capacity optimization problem of wind–solar–storage multi-power microgrids in the whole life cycle. Firstly, this paper.
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