电力系统保护与控制2025，Vol.53Issue(14)：90-99,10.DOI:10.19783/j.cnki.pspc.241396
PPO算法优化参数的微网接口变换器自抗扰控制
Active disturbance rejection control of microgrid interface converters using PPO algorithm for parameters optimization
摘要
Abstract
As an important component of modern power systems,DC microgrids are susceptible to disturbances at the load-side interface converters due to the randomness and uncertainty of renewable energy sources,resulting in poor output characteristics.In order to effectively mitigate the adverse effects of uncertainty on system performance when the controller parameters are kept constant,this paper proposes an active disturbance rejection control method based on the proximal policy optimization(PPO)algorithm.In this method,a PPO agent interacts with the traditional active disturbance rejection control system environment to perceive changes in system states and optimizes the control strategy based on feedback from a reward.During the training process,the agent explores various control actions to adaptively tune observer parameters,thereby ensuring the stability of the converter output voltage.Finally,the proposed PPO-LADRC is compared through digital simulations with the traditional linear active disturbance rejection control(LADRC)and double-closed-loop proportional-integral control methods.The results verify that the proposed control strategy can significantly improve the dynamic performance of the system under various disturbances.关键词
直流微电网/接口变换器/深度强化学习/自抗扰控制/自适应调整Key words
DC microgrid/interface converter/deep reinforcement learning/active disturbance rejection control/adaptive tuning引用本文复制引用
周雪松,刘文进,马幼捷,陶珑,问虎龙,丰美丽..PPO算法优化参数的微网接口变换器自抗扰控制[J].电力系统保护与控制,2025,53(14):90-99,10.基金项目
This work is supported by the Key Program 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）
