RESEARCH ON IMPROVED LINEAR ACTIVE DISTURBANCE REJECTION CONTROL OF ENERGY STORAGE CONVERTER BASED ON TD3 ALGORITHM

Ma Youjie; Yan Fengxiang; Zhou Xuesong; Tao Long; Wang Xinyue; Chen Yunfei

doi:10.19912/j.0254-0096.tynxb.2025-0583

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 56-67. DOI: 10.19912/j.0254-0096.tynxb.2025-0583

RESEARCH ON IMPROVED LINEAR ACTIVE DISTURBANCE REJECTION CONTROL OF ENERGY STORAGE CONVERTER BASED ON TD3 ALGORITHM

Ma Youjie, Yan Fengxiang, Zhou Xuesong, Tao Long, Wang Xinyue, Chen Yunfei

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Abstract

To address the output disturbance issue of new power systems under multiple uncertainties, such as the integration of new energy sources and the spatiotemporal distribution of loads, this paper proposes A refactoring linear active disturbance rejection control strategy (TD3-R_LADRC) based on the twin delayed deep deterministic policy gradient (TD3) algorithm. The objective is to enhance the ability of energy storage systems to mitigate DC bus voltage fluctuations. Firstly, the disturbance differential in the extended state observer （ESO） is observed, and the ESO is reduced in order This enables faster and more precise tracking and compensation of total disturbance factors in the system, effectively improving the response speed and accuracy of controllers. Subsequently, frequency domain performance and stability analysis are conducted on the proposed improved strategy. To further tap into the performance potential of this strategy, this study introduces the TD3 reinforcement learning algorithm and performs intelligent optimization training on key parameters of the improved LADRC, including observer bandwidth and controller bandwidth. Finally, through digital simulation and low-power experiments, this study conducts a comparative analysis of the improved controller, traditional linear active disturbance rejection control, and the dual closed-loop PI control strategy in terms of disturbance rejection, stability, and robustness under different operating conditions. The results demonstrate that the proposed TD3-R_LADRC strategy exhibits better control performance when facing the uncertainty of new energy output, load fluctuations and external disturbances. It can effectively enhance system robustness, improve the control effect of frequency stability, and has certain theoretical significance and engineering application value.

Key words

energy storage / microgrid / DC-DC converters / frequency domain analysis / deep reinforcement learning / linear active disturbance rejection control

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Ma Youjie, Yan Fengxiang, Zhou Xuesong, Tao Long, Wang Xinyue, Chen Yunfei. RESEARCH ON IMPROVED LINEAR ACTIVE DISTURBANCE REJECTION CONTROL OF ENERGY STORAGE CONVERTER BASED ON TD3 ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 56-67 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0583

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