Optimized Joint Configuration Strategy of Independent Grid-Side Energy Storage for System Value

This paper presents an optimized configuration strategy for independent grid-side energy storage systems aimed at maximizing system value and improving grid performance. A system value evaluation model is developed to assess key benefits including reducing line losses, smoothing renewable energy output, enhancing system reliability, and deferring grid upgrades. By utilizing an adaptive mutation particle swarm optimization (AMPSO) algorithm, the study optimizes the configuration and operation of grid-side energy storage. Case studies demonstrate the strategy’s effectiveness in balancing investment costs with operational benefits.