双约束PSO的光伏并网控制器PI参数实时寻优

A Real-time PSO-based Control Scheme With Double Constraints for PI Controller Gains of a PV Grid-connected System

在光伏并网逆变器控制器外环比例积分(PI)参数的优化设计上,一般使用粒子群算法限制寻优次数,易陷入局部最优,PI参数无法实时跟踪系统变化。针对上述问题,提出了一种使用双约束粒子群优化算法(PSO)的实时寻优方法。以集成绝对误差(IAE)和并网电流高次谐波有效值作为PS0的约束条件,不限制寻优次数,避免陷入局部最优,去除野值的干扰,对系统进行实时寻优,保证寻优得到的PI参数兼顾直流侧电压稳定跟踪与交流侧的电流质量,并实时跟随系统变化。系统仿真与实验结果表明,该方法可在较短时间内跟踪系统状况,自动调整PI参数,具有较强的实效性。

Classical particle swarm＇s optimal times are limited and easy to fall into local optima for the optimization design of outer loop proportional intergral（PI） controller gains in a photovohaic （PV） grid-connected system.PI gains can＇t track the PV system changes in time.So a real-time particle swarm optimization （PSO） control scheme with double constraints for the outer loop PI controller gains of the PV system is presented.It is restrained with intergrated absolute error（IAE） and the effective value of AC side current higher harmonic components without the limit of optimal times and local optima.It considers eliminating interruptions.Optimized PI controller gains with double constraints are used to stabilize DC link voltage and ensure AC side current waveforms keep fit.Simulation and experimental results show that PI controller gains are self-tunning and track changes of the F＇V system in time with high efficiency.