提升LCL型并网逆变器在弱电网下适应性的优化策略  

Optimization Strategy for Improving Adaptability of LCL-type Grid-connected Inverter Under Weak Grid

作　　者：王涛[1] 于少娟[1] 刘立群[1] WANG Tao;YU Shaojuan;LIU Liqun(School of Electronic and Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学电子与信息工程学院,太原030024

出　　处：《电力系统及其自动化学报》2025年第1期26-34,共9页Proceedings of the CSU-EPSA

基　　金：山西省自然科学基金资助项目(202203021221153)。

摘　　要：为提升LCL型并网逆变器在弱电网下的适应性,提出一种基于混合粒子群优化算法的控制器参数优化策略。首先,建立传统电网电压全前馈的LCL型并网逆变器模型,采用阻抗稳定性判据分析弱电网下逆变器系统的稳定范围。然后,通过构建包含相角误差和系统稳定性指标在内的多目标函数,并利用混合粒子群优化算法对控制器参数进行优化,进而提高系统在电网阻抗发生变化时的鲁棒性。最后,通过仿真平台以及实验验证了该策略的有效性。To improve the adaptability of an LCL-typegrid-connected inverterunder weak grid,anoptimization strategy for controller parameters based on ahybrid particle swarm optimization(PSO)algorithm is proposed.First,an LCL-type grid-connected inverter model with full feedforward voltage in the traditional power grid is established,and the imped-ance stability criterionis used to analyze the stability range of the inverter system under weak grid.Then,a multi-objec-tive function that includes phase angle error and system stability indicators is established,and the hybrid PSO algo-rithm is used to optimize the controller parameters,thus improving the system robustness in the event of changes in grid impedance.Finally,the effectiveness of the proposed strategy was verified through a simulation platform and experimen-tal results.

关 键 词：并网逆变器 弱电网 混合粒子群优化算法 多目标优化 

分 类 号：TM464[电气工程—电器]