基于改进蚁狮算法的MMC控制器PI参数优化研究  

PI Parameter Optimization of MMC Controller Based on Improved Ant Lion Algorithm

作　　者：田录林[1] 陈倩雯 周萌 张沛文 王伟博 巨思远 TIAN Lu-lin;CHEN Qian-wen;ZHOU Meng;ZHANG Pei-wen;WANG Wei-bo;JU Si-yuan(Xi'an University of Technology,Xi'an 710048, China;Anti-Money Laundering Center of ICBC Shaanxi Branch,Xi'an 715111, China)

机构地区：[1]西安理工大学,陕西西安710048 [2]工商银行陕西分行反洗钱中心,陕西西安715111

出　　处：《通信电源技术》2019年第7期5-11,共7页Telecom Power Technology

摘　　要：针对模块化多电平换流器控制系统多个PI控制器之间相互影响、PI参数优化困难的问题,在现有MMC最近电平逼近调制策略基础上,提出一种基于改进蚁狮算法的控制器参数优化方法,用于解决原始蚁狮算法存在易陷入局部最优、收敛速度慢等缺点。引入Tent映射的混沌思想,在初始化种群时增加变量取值的多样性,避免算法陷入局部最优;融合精英竞争,加快算法收敛速度,减少计算量。研究实现了PSCAD和MATLAB之间的相互调用,通过对比多个算法的优化效果,最终使用改进蚁狮算法对MMC控制器PI参数进行优化。仿真结果表明,改进后的蚁狮算法具有更好的寻优精度和收敛速度,改进算法优化后的控制器PI参数可以有效改善电流波形,提高系统动态性。Aiming at the problem of the interaction between PI controllers and the difficulty of PI parameter optimization in modular multi-level converter control system, based on the current MMC recent level approximation modulation strategy,a controller parameter optimization method based on improved ant lion algorithm is proposed to solve the shortcomings of the original ant lion algorithm, such as easy to fall into local optimum and slow convergence speed. The chaotic idea of Tent mapping is introduced to increase the diversity of variables when initializing the population, so as to avoid the algorithm falling into local optimum. The elite competition is fused to accelerate the convergence speed of the algorithm and reduce the computational load. The research realizes the mutual call between PSCAD and MATLAB. By comparing the optimization effects of several algorithms, the improved ant lion algorithm is used to optimize the PI parameters of the MMC controller. The simulation results show that the improved ant lion algorithm has better optimization accuracy and convergence speed. The PI parameters of the controller optimized by the improved algorithm can effectively improve the current waveform and improve the system dynamics.

关 键 词：模块化 多电平换流器 PI参数 蚁狮优化算法 混沌映射 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]