Refined Energy Management and Control Strategy for Energy Storage Power Stations Based on Multi-Agent Theory

doi:10.16628/j.cnki.2095-8188.2025.10.003

Abstract

Abstract:

In the power systems with a high proportion of renewable energy integration, aiming at the problem of allocating charging and discharging power among large-scale energy storage units with different initial states of charge(SOC)levels, a refined energy management and control strategy for energy storage power stations based on multi-agent theory is proposed.For large-scale centralized energy storage power stations, an agent-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 the velocity and position variables of the particle swarm optimization(PSO)algorithm respectively, and an optimization model considering power limits and SOC balancing constraints is established.Simulation results demonstrate that the proposed strategy can achieve the precise management of multiple energy storage units within the station, and enable units with inconsistent initial states to gradually reach a balanced SOC during operation.

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

CLC Number:

TM910

WANG Zhiyuan, LIU Yuewei, SHANG Sen, REN Feng, DONG Hongwei. Refined Energy Management and Control Strategy for Energy Storage Power Stations Based on Multi-Agent Theory[J]. LOW VOLTAGE APPARATUS, 2025, 0(10): 16-27.

Figures/Tables 20

References 25

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