Abstract：In integrated energy systems，centralized control has traditionally been used for state of charge

（SOC）balancing of storage units. Recently，decentralized distributed control relying on communication has gained research attention. A multi-agent system and a dynamic consensus algorithm was introduced，enabling agents to collaboratively estimate the global average SOC. To address issues like slow convergence，high communication frequency，and insufficient stability in distributed control，consensus parameters was optimized to speed up convergence and an event-driven mechanism was adopted to reduce unnecessary communication. Simulations in Matlab demonstrate that the method maintains control performance while cutting communication load by about 50%.

        Key words：state of charge（SOC）balancing；consensus algorithm；event-driven；multi-agent system（MAS）；integrated energy system

     Format Citation:王松岑，南开，白新雷,等. 综合能源系统储能荷电状态均衡分布式控制策略[J].电气传动,2026,56(08):59-69. WANG Songcen，NAN Kai，BAI Xinlei,et al. Distributed state of charge balancing strategy of energy storage in integrated energy system [J].Electric Drive, 2026,56(08): 59-69