电力系统保护与控制2025，Vol.53Issue(1)：95-103,9.DOI:10.19783/j.cnki.pspc.240480
基于DQN算法的直流微电网负载接口变换器自抗扰控制策略
Active disturbance rejection control strategy of a DC microgrid load interface converter based on a DQN algorithm
摘要
Abstract
In the DC microgrid,to ensure the stability of the energy flow between the DC bus and the load,the disturbance problem caused by the uncertain factors in the energy flow is solved.Based on the mathematical model of DC-DC converter,an active disturbance rejection control strategy for a DC-DC converter based on deep reinforcement learning is designed.The active disturbance rejection control structure is simplified using the estimation compensation of the total disturbance and the linear error feedback control characteristics of the linear expansion observer,and the controller parameters are optimized online by deep reinforcement learning.From the load-side voltage waveform in different working conditions,the stability,immunity and robustness of the DC-DC converter using the control strategy,linear active disturbance rejection control and proportional integral control are analyzed,and the correctness and effectiveness of the control strategy are verified.Finally,Monte Carlo experiments are carried out under parameter perturbation,and the simulation results show that the control strategy has good robustness.关键词
直流微电网/深度强化学习/DQN算法/DC-DC变换器/线性自抗扰控制Key words
DC microgrid/deep reinforcement learning/deep-Q-network(DQN)algorithm/DC-DC converters/linear active disturbance rejection control引用本文复制引用
周雪松,韩静,马幼捷,陶珑,问虎龙,赵明..基于DQN算法的直流微电网负载接口变换器自抗扰控制策略[J].电力系统保护与控制,2025,53(1):95-103,9.基金项目
This work is supported by the Key Project of National Natural Science Foundation of China(No.U23B20142). 国家自然科学基金重点项目资助(U23B20142) （No.U23B20142）
天津市研究生科研创新项目资助(2022BKYZ036) （2022BKYZ036）
