Abstract:
Total harmonic distortion (THD) minimization is a new Switching Strategy which is used in multilevel Inverters. The aim of THD Minimization strategy is eliminating THD. Generally, THD equations are nonlinear and solving them is a major problem. Evolutionary Algorithms (EA) have shown an effective ability for this aim. Recently, Continuous Genetic Algorithm (CGA) has widely applied in this area. In this paper, a new EA, called Imperialist Competitive Algorithm (ICA), is applied for this problem. The results of comparison between these methods show a specific privilege of ICA over other methods. The comparison is based on probability of converging to global minimum. The comparison is done for 7 level inverters as case studies.
Page(s):
57-63
DOI:
DOI not available
Published:
Journal: Science International, Volume: 26, Issue: 1, Year: 2014