基于模拟退火优化粒子群算法的七电平逆变器特定消谐技术研究  

Research on Specific Harmonic Elimination Technology of Seven-level Inverter Based on Simulated Annealing Optimized Particle Swarm Optimization Algorithm

作　　者：张乐天 王英 Zhang Letian;Wang Ying(School of Electrical Information Engineering,Dalian Jiao Tong University,Dalian Liaoning 116045,China)

机构地区：[1]大连交通大学电气信息工程学院,辽宁大连116045

出　　处：《电气自动化》2022年第2期78-80,共3页Electrical Automation

摘　　要：针对粒子群算法(PSO)应用于多电平逆变器特定谐波消除脉冲宽度调制(SHEPWM)技术时容易陷入局部最优问题,引入模拟退火算法(SA)与PSO结合。利用SA的Metropolis准则对PSO解的迭代进行修正,在保证求解效率的基础上,有效提升了PSO的全局寻优能力。最后将模拟退火优化粒子群算法(SA-PSO)应用于级联H桥型七电平逆变器SHEPWM技术进行仿真,验证了求得的开关角度值正确有效,证明SA-PSO算法具备高效的全局寻优能力,可以实际应用于SHEPWM技术的开关角求解。In view of the problem that particle swarm optimization(PSO) is easy to fall into local optimum when applied to specific harmonic elimination pulse width modulation(SHEPWM) technology of multilevel inverter,the simulated annealing algorithm(SA) was combined with PSO,and the iteration of PSO s solution was modified by the Metropolis criterion of SA,which can effectively improve the global optimization ability of PSO on the basis of ensuring the solution efficiency.At last,SA-PSO was applied to SHEPWM technology of cascaded h-bridge seven-level inverter for simulation,which verifies that the obtained switching angle value is correct and effective,and proves that SA-PSO has efficient global optimization ability,and can be practically applied to solving the switching angle of SHEPWM technology.

关 键 词：粒子群算法 模拟退火算法 多电平逆变器 特定谐波消除脉冲宽度调制技术 

分 类 号：TM464[电气工程—电器]