CO-CONTROL STRATEGY OF DISTRIBUTED BATTERY ENERGY STORAGE SYSTEM BASED ON SOC EQUALIZATION

Shi Rui; Zhang Xinyan; Liu Shasha; Huang Lixiang; Liao Shiqiang; Hu Zizhen

doi:10.19912/j.0254-0096.tynxb.2022-0799

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (9) : 546-552. DOI: 10.19912/j.0254-0096.tynxb.2022-0799

CO-CONTROL STRATEGY OF DISTRIBUTED BATTERY ENERGY STORAGE SYSTEM BASED ON SOC EQUALIZATION

Shi Rui¹, Zhang Xinyan^1,2, Liu Shasha¹, Huang Lixiang¹, Liao Shiqiang¹, Hu Zizhen¹

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Abstract

This paper researches the optimal control method and SOC balance strategy of distributed battery energy storage system, and proposes a cooperative control strategy based on SOC balance. The multi-agent system （MAS） theory was used to realize the cooperative control of battery energy storage system, and the multi-agent distributed algorithm was used to realize the adaptive allocation of power instructions,and then realized SOC dynamic equalization. Aiming at the slow convergence of traditional multi-agent algorithm,a distributed algorithm based on model predictive control （MPC） was proposed. MPC was used to optimize the traditional multi-agent algorithm and improve the convergence speed. Finally, the effectiveness of the proposed strategy and the advantages of the algorithm in convergence speed are verified by simulation with the actual energy storage power data.

Key words

energy storage system / model predictive control / distributed algorithm / co-control / state of charge （SOC）

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Shi Rui, Zhang Xinyan, Liu Shasha, Huang Lixiang, Liao Shiqiang, Hu Zizhen. CO-CONTROL STRATEGY OF DISTRIBUTED BATTERY ENERGY STORAGE SYSTEM BASED ON SOC EQUALIZATION[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 546-552 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0799

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