基于自适应PSO的微电网双向DC-DC变换器前馈自抗扰控制

针对传统PI控制光储微电网系统双向DC-DC变换器存在的直流母线电压波动大、充放电有效性差、抗干扰能力弱等问题，设计了一种基于自适应粒子群优化(APSO)的双闭环控制策略。首先，建立双向DC-DC变换器的数学模型。其次，设计了包括电压环线性自抗扰控制（ADRC）、电流环PI控制的双闭环控制系统，并在电压环中加入前馈控制以增强控制系统的鲁棒性。然后，针对自抗扰控制器参数难以整定的问题，提出了一种基于APSO算法的参数优化系统，该算法引入了自适应惯性权重因子，使惯性权重在粒子群迭代过程中可以动态调整以获得更佳的寻优效果。最后，设计一种带罚函数的时间乘以误差绝对值积分(ITAE)指标作为适应度函数，实现了前馈线性自抗扰控制(FF LADRC)系统控制参数的自主寻优。MATLAB仿真结果表明，所提控制策略能够有效减小直流母线电压波动，提升储能系统的充放电性能，解决了线性自抗扰控制器参数整定问题。

Feedforward Active Disturbance Rejection Control of Microgrid Bidirectional DC-DC Converter Based on Adaptive PSO

In order to solve the problems of bidirectional DC-DC converter in traditional PI controlled optical storage microgrid system, such as large voltage fluctuation of DC bus, poor efficiency of charge and discharge and weak anti-interference ability, a double closed-loop control strategy based on adaptive particle swarm optimization (APSO) is designed. Firstly, the mathematical model of bidirectional DC-DC converter is established. Secondly, a double closed-loop control system with voltage loop linear active disturbance rejection control (ADRC) and current loop PI control is designed, and feedforward control is added to the voltage loop to enhance the robustness of the control system. Then, a parameter optimization system based on APSO algorithm is proposed to solve the problem that the parameters of active disturbance rejection controller are difficult to tune. The adaptive inertia weight factor is introduced in the algorithm so that the inertia weight can be dynamically adjusted in the process of particle swarm optimization to obtain better optimization results. Finally, a kind of integral of time and absolute error (ITAE) index with penalty function is designed as fitness function, and the control parameters of feedforward linear active disturbance rejection control (FF-LADRC) system are optimized autonomously. The simulation results in MATLAB show that the proposed control strategy can effectively reduce the voltage fluctuation of DC bus, improve the charge-discharge performance of energy storage system, and solve the problem of parameters setting of linear active disturbance rejection controller.