基于条件熵的SAC算法储能变换器自抗扰稳压策略

马幼捷; 韩德新; 周雪松; 张宇轩; 王馨悦; 陶珑

doi:10.19912/j.0254-0096.tynxb.2024-2277

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 457-467. DOI: 10.19912/j.0254-0096.tynxb.2024-2277

基于条件熵的SAC算法储能变换器自抗扰稳压策略

马幼捷, 韩德新, 周雪松, 张宇轩, 王馨悦, 陶珑

作者信息 +

CONDITIONAL ENTROPY BASED SAC ALGORITHM FOR ENERGY STORAGE CONVERTER ACTIVE DISTURBANCE REJECTION CONTROL VOLTAGE STABILISATION STRATEGY

Ma Youjie, Han Dexin, Zhou Xuesong, Zhang Yuxuan, Wang Xinyue, Tao Long

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文章历史 +

摘要

针对直流母线电压易受光伏输出功率变化和负载扰动影响的问题,设计一种基于条件熵的深度强化学习软行动者-评论家（SAC）算法的自抗扰控制（ADRC）策略。通过引入条件熵作为评价指标,衡量系统的受扰程度,并结合深度强化学习算法,对控制器带宽进行实时自驱优整定,确保含DC/DC变换器的储能单元能够平抑母线电压波动,提升直流微网的安全稳定运行性能。最后,通过在不同工况下与双闭环PI控制及传统线性自抗扰控制进行对比,证明所提策略的可行性。

Abstract

Aiming at the problem that DC bus voltage is susceptible to PV output power changes and load disturbances, an Active Disturbance Rejection Control strategy based on conditional entropy and the deep reinforcement learning Soft Actor-Critic （SAC） algorithm is designed. By introducing the conditional entropy as an evaluation index to measure the degree of perturbation of the system and combining it with the deep reinforcement learning algorithm, real-time self-driven optimal tuning of the controller bandwidth is carried out to ensure that the energy storage unit containing a DC/DC converter can suppress the bus voltage fluctuation and improve the safety and stability performance of the DC microgrid. Finally, the feasibility of the proposed strategy is demonstrated by comparing it with the double-closed-loop PI control and the traditional linear active disturbance rejection control under different operating conditions.

导出引用

马幼捷, 韩德新, 周雪松, 张宇轩, 王馨悦, 陶珑. 基于条件熵的SAC算法储能变换器自抗扰稳压策略[J]. 太阳能学报. 2026, 47(5): 457-467 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2277

Ma Youjie, Han Dexin, Zhou Xuesong, Zhang Yuxuan, Wang Xinyue, Tao Long. CONDITIONAL ENTROPY BASED SAC ALGORITHM FOR ENERGY STORAGE CONVERTER ACTIVE DISTURBANCE REJECTION CONTROL VOLTAGE STABILISATION STRATEGY[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 457-467 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2277

中图分类号： TM46

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