基于PSO算法的直流近区光伏发电系统控制参数优化方法

Control parameter optimization method of DC near-field photovoltaic power generation system based on particle swarm optimization

针对直流近区光伏发电系统的小扰动和振荡问题,本文提出了一种基于PSO算法的直流近区光伏发电系统控制参数优化方法以提升系统小干扰稳定性。首先,建立包括光伏阵列、逆变器及其控制器、直流输电系统的直流近区光伏发电系统小信号模型。其次,建立了基于特征值的直流近区光伏发电系统控制参数优化问题,并提出了一种基于PSO算法的控制参数优化方法对优化问题进行求解。最后,在Matlab/Simulink仿真平台中采用所提出方法对直流近区光伏发电系统的控制参数进行优化,并施加不同类型的扰动,比较控制参数优化前后系统的动态响应。仿真结果表明,采用优化后的控制参数,系统的动态响应性能得到明显提升。

Aiming at the small disturbance and oscillation problems of DC near-field photovoltaic power generation system,this paper proposed a control parameter optimization method of DC near-field photovoltaic power generation system based on particle swarm optimization.First,a small signal model of DC near-field photovoltaic power generation system is established,including photovoltaic array,inverter,control system,and LCC-HVDC.Second,the eigenvalue-based control parameter optimization problem of DC near-field photovoltaic power generation system is constructed,and a control parameter optimization method based on PSO algorithm is utilized to solve the optimization problem.Finally,time-domain simulations with different disturbances in Matlab/Simulink are performed to verify the effectiveness of the proposed control parameter optimization method.The simulation results show that the dynamic response of DC near-field photovoltaic power generation system is significantly improved by using the optimized control parameters.