Iraj karimi giglo - فوق لیسانس برق،بازرس کار اداره تعاون، کار ورفاه اجتماعی شهرستان پارس آباد
Ali dargahi - دانشجوی کارشناسی ارشد برق قدرت ،کارمند شرکت بهره برداری شرکت توزیع برق استان تبریز
Yahya bandalizadeh - دانشجوی کارشناسی ارشد مدیریت دولتی، کارمندشرکت توزیع نیروی برق استان اردبیل
Hosein yosefisadat - دانشجوی کارشناسی ارشد مدیریت دولتی، کارمندشرکت توزیع نیروی برق استان اردبیل

Using multilevel inverters in fuel cell & solar cell & wind turbines is increasing. Harmonic reduction techniques in multilevel inverters are considered. Mathematical methods for reducing the harmonic are presented in some of the literatures Mathematical methods are not suitable for high level inverters.In this paper, a continues genetic algorithm and particle swarm optimization techniqueis applied to multilevel to determine optimum switching angle for cascade multilevel inverter for elimination some higher order harmonics while maintaining first order. this techniques can be applied to multilevel inverters with any number of level; two algorithms: 1-CGA and 2- PSO is used to optimize THD in Multilevel inverters.For example, tow algorithm applied in seven and eleven level inverter and theoretical and simulated results are used to compare these techniques. In addition, this paper proposes a method for optimization of specific harmonics and improving the characteristics of switching in same level inverters.

Multilevel inverter, continues genetic algorithm, particle swarm optimization, total harmonic distortion.