Coordinated Control and Energy Management Strategies for Hundred Megawatt-level Battery Energy Storage Stations Based on Multi-agent Theory

Abstract

This paper puts forward an energy management strategy to control the output of the hundred megawatt-level battery energy storage stations (BESS), thus to increase the ability of the large scale BESS for autonomous distribution of real time power. Based on the strategy of multi-agent particle swarm optimization, the real time power of the power converter system (PCS) has been calculated. Meanwhile, the layered structure consisting of main-agent, sub area agent, and PCS agent for the BESS are developed. The measured data of the wind power station is used to carry out a simulation analysis for large scale wind farm and BESS hybrid generation systems. It is verified that the control strategy can adaptively allocate the real time total demand of BESS and keep the state of charge for each unit of BESS at a proper level.