综合能源系统储能荷电状态均衡分布式控制策略OA
Distributed State of Charge Balancing Strategy of Energy Storage in Integrated Energy System
在综合能源系统储能单元的荷电状态(SOC)均衡控制方面,传统方法多采用集中式控制结构.近年来,基于通信的去中心化分布式控制结构成为研究热点.在现有研究基础上,引入多智能体系统架构和动态一致性算法,使系统中各智能体能够协同估计储能的全局SOC均值.针对分布式控制中普遍存在的迭代收敛速度慢、通信频率过高、稳定性欠佳等问题,通过优化一致性算法中的迭代求和参数以加速收敛,并采用事件驱动机制进一步减少不必要的通信开销.最后,基于Matlab构建的综合能源系统数值仿真模型验证了所提方法的有效性.结果表明,该方法在维持原有控制策略效果的同时,显著降低了约50%的通信量.
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%.
王松岑;南开;白新雷;刘铠诚;郭威;董树锋
中国电力科学研究院有限公司 用能研究所,北京 100192国网河北省电力有限公司营销服务中心,河北 石家庄 050035国网河北省电力有限公司营销服务中心,河北 石家庄 050035中国电力科学研究院有限公司 用能研究所,北京 100192国网河北省电力有限公司营销服务中心,河北 石家庄 050035浙江大学 电气工程学院,浙江 杭州 310027
信息技术与安全科学
SOC均衡一致性算法事件驱动多智能体系统综合能源系统
state of charge(SOC)balancingconsensus algorithmevent-drivenmulti-agent system(MAS)integrated energy system
《电气传动》 2026 (8)
59-69,11
国家电网公司总部科技项目(5400-202413216A-1-1-ZN)
评论