Decentralized cooperative optimization method to enhance discharging efficiency of distributed energy storage system

A decentralized cooperative optimization method is proposed in this study to improve discharging efficiencies of distributed energy storage systems (DESSs) in a smart distribution network (SDN). The proposed method achieves global information or control coordination only through local information interaction between neighbour agents without centralized agents. It is accomplished by using the improved consensus-based information discovery and pinning algorithm of multi-agent system (MAS), which obviates the need for a central controller. Meanwhile, the proposed method coordinates DESSs and the corresponding discharging efficiencies using associated marginal costs in a decentralize way, that can maximum the discharging efficiency while reducing local power mismatch in a SDN. Representative simulation cases are carried on to verify the effectiveness and adaptability of the proposed approach.

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