基于粒子群算法的光储微电网谐波电流抑制参数组寻优策略

Parameter Group Optimization Strategy to Suppress Harmonic Current of PV-storage Microgrid Based on PSO Algorithm

单相逆变器负荷的瞬时功率含有二倍频脉动功率分量,导致输入源中存在二次谐波电流。以光储微电网为例,提出基于陷波器和准比例谐振控制器的谐波电流抑制方法。在陷波器和准比例谐振控制器的作用下,电感支路表现出在二倍频处呈现高阻抗、非二倍频处呈现低阻抗的差异化特性,既实现了二次谐波电流的抑制,又满足了动态性的需求。针对该控制器参数选取不当导致动态性变差和谐波抑制能力下降等问题,提出基于粒子群算法的抑制参数组寻优策略,利用其精度高和收敛速度快的优点,获得兼顾动态品质、稳定性及谐波抑制能力的最优抑制参数组。实验结果验证了所提方法和寻优策略的有效性。

The instantaneous power of single-phase inverter load contains double frequency pulsating power component,which leads to the existence of second harmonic current in the input source.Taking PV-storage microgrid as an example,the harmonic current suppression method is proposed based on notch filter and quasi-proportional resonant controller.Under the action of above two controllers,the inductor branch shows high impedance at double frequency and low impedance at non-double frequency,which not only realizes the second harmonic current suppression,but also meets the dynamic needs.Aiming at the problems of poor dynamic performance and reducing harmonic suppression ability caused by improper controller parameters,an optimization strategy of suppression parameter group based on particle swarm optimization(PSO)is proposed.Since PSO has the advantages of high accuracy and fast convergence speed,it is convenient to obtain the optimal suppression parameter group,which takes dynamic quality,steady state and harmonic suppression ability into account.The experimental results verify the effectiveness of proposed method and optimization strategy.