基于多智能体理论的储能电站精细化能量管理控制策略

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关键词：控制策略；能量管理；储能电站；多智能体理论

中图分类号：TM910 文献标志码：A 文章编号：2095-8188（2025）10-0016-12

DOI：10.16628/j.cnki.2095-8188.2025.10.003

Abstract：In thepower systems witha high proportion of renewable energy integration，aiming at the problem ofallocating charging anddischarging power among large-scaleenergy storageunitswith different initial statesof charge（SOC）levels，a refined energy management and control strategy for energy storage power stations based on multi-agent theoryis proposed.For large-scale centralized energy storage powerstations，anagent-based control architecture for energy storage units is constructed.The charging and discharging power of the power conversion system（PCS）and the SOC are mapped to thevelocityand position variables of the particle swarm optimization （PSO）algorithm respectively，and anoptimization model considering power limits and SOC balancing constraints is established.Simulationresultsdemonstrate that theproposed strategy canachieve theprecise management of multipleenergy storage units within the station，and enableunits with inconsistent initial states to graduallyreach a balanced SOC during operation.

Key words：control strategy；energy management； energy storage power stations；multi-agent theory

0 引言

近年来，可再生能源装机规模快速增长，风电、光伏等间歇性能源在系统中的占比持续提升。（剩余14717字）