Selective harmonic elimination in multilevel inverter using hybrid APSO algorithm. Issue 10 (23rd July 2018)

• Record Type: Journal Article
• Authors: Memon, Mudasir Ahmed; Mekhilef, Saad; Mubin, Marizan
• Is Part Of: IET power electronics. Volume 11:Issue 10(2018)
• Page Start: 1673
• Page End: 1680
• Publication Date: 2018-07-23
• Subjects: genetic algorithms -- harmonics suppression -- Newton‐Raphson method -- PWM invertors -- particle swarm optimisation -- minimisation -- evolutionary computation; seventh harmonics -- genetic algorithm -- bee algorithm -- seven‐level inverter -- hybrid APSO algorithm -- selective harmonic elimination pulse -- modulation technique -- hybrid asynchronous PSO‐Newton‐Raphson algorithm -- undesired harmonics -- cascaded H‐bridge multilevel inverter -- nonequal DC sources -- NR method -- global search technique -- fifth harmonics -- APSO‐NR algorithm -- particle swarm optimisation -- MLI; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2017.0486
• Languages: English
• ISSNs: 1755-4535

Abstract

Abstract : This study presents selective harmonic elimination pulse width modulation technique‐based hybrid asynchronous PSO‐Newton‐Raphson (APSO‐NR) algorithm for the elimination of undesired harmonics in cascaded H‐bridge multilevel inverter. The proposed algorithm is applicable to all levels of MLI having equal and non‐equal DC sources. In the proposed method, ring topology‐based APSO algorithm is hybrid with NR method. APSO worked as a global search technique and NR is used for the refinement of best solutions. APSO‐NR is applied to the seven‐level inverter to eliminate fifth and seventh harmonics. In simulations, the performance of the proposed algorithm is compared with genetic algorithm, bee algorithm and particle swarm optimisation. The results proved that the proposed algorithm is efficient, and gives more precise firing angles in less number of iterations with high capability of tackling local optima. For the 48% of modulation index range, APSO‐NR minimised the fitness function value lower than (10 −25 ). The proposed algorithm is validated through the experimental implementation of the three‐phase seven‐level inverter.