摘要
针对光储直流微电网易受光伏资源波动、负荷侧波动等不确定扰动影响,进而引发的直流母线电压波动问题,在传统自抗扰控制(linear active disturbance rejection control,LADRC)的基础上,提出一种参数动态协同自抗扰控制(dynamic coordination of parameters for active disturbance rejection control,DCLADRC),引入两个新的观测变量并增加一维带宽参数,旨在通过深度确定性策略梯度(deterministic policy gradient,DDPG)算法动态调整两级带宽间的协调因子k,提高观测器多频域扰动下的观测精度及收敛速度,优化控制器的抗扰性,增强母线电压稳定性,从而使得储能能够更好地发挥“削峰填谷”的调节作用。物理实验结果表明,受到扰动后,对比LADRC与双闭环比例积分(double closed loop proportion-integration,Double_PI)控制,所提的DCLADRC电压偏移量分别减少了75%和83%。
In view of the problems of PV storage DC microelectronics that are affected by uncertain disturbances such as PV resource fluctuations and load-side fluctuations,which cause DC bus voltage instability,this paper is based on the traditional active disturbance rejection control(ADRC);meanwjhile,an upgraded active disturbance rejection control with dynamic coordination of parameters(DCLADRC)is proposed,two new observed variables are introduced,and the 1D bandwidth parameter is added.The aim is to improve the observation accuracy and convergence speed of the observer under multi-frequency domain disturbance,to optimize the immunity of the controller,and to enhance the stability of the bus voltage by dynamically adjusting the coordination factor k between the two-stage bandwidth,so that the energy storage can better play the regulating role of“peak shaving and valley filling”.The results show that,after being disturbed,the proportional integral control of LADRC and double closed-loop(Double_PI)is compared,The proposed DCLADRC voltage offset is reduced by 75%and 83%,respectively.
作者
马幼捷
陈韵霏
周雪松
耿盛意
马立聪
李双
MA Youjie;CHEN Yunfei;ZHOU Xuesong;GENG Shengyi;MA Licong;LI Shuang(Tianjin Key Laboratory of New Energy Power Conversion,Transmission and Intelligent Control(Tianjin University of Technology),Tianjin 300384,China)
出处
《高电压技术》
北大核心
2025年第11期5607-5619,共13页
High Voltage Engineering
基金
国家自然科学基金重点项目(U23B20142)
国家自然科学基金重大项目(U24B6011)。
关键词
光储直流微电网
储能
自抗扰控制
深度确定性策略梯度算法
抗扰性
photovoltaic storage DC microgrid
energy storage
linear active disturbance rejection control
deep deterministic policy gradient algorithm
disturbance rejection
