Coordinated optimal configuration scheme of wind-solar ratio and
This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind
This paper considers the cooperation of energy storage capacity and the operation of wind-solar storage based on a double-layer optimization model. An Improved Gray Wolf Optimization is used to solve the multi-objective optimization of energy storage capacity and get the optimized configuration operation plan.
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. In the upper optimization model, the wind–solar–storage capacity optimization model is established.
A double-layer optimization model of energy storage system capacity configuration and wind-solar storage micro-grid system operation is established to realize PV, wind power, and load variation configuration and regulate energy storage economic operation.
The lower layer features an optimal scheduling model, with the outputs of each power source in the microgrid as the decision variables. Additionally, this paper examines capacity optimization for wind–solar–storage systems across various scenarios, exploring optimal capacity configurations and operational strategies.
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