DocumentCode :
127821
Title :
A novel memetic algorithm approach for selective harmonic elimination in multi-level inverters
Author :
Niknam Kumle, Alireza ; Fathi, Seyed Hamid ; Yazdi, Seyyed Saeed Heidary
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2014
fDate :
5-6 Feb. 2014
Firstpage :
205
Lastpage :
210
Abstract :
Harmonic reduction issue is regarded as the significant challenge in multi-level converters. SHE is a harmonic reduction technique that aims to control harmonic content of multi-level inverters by eliminating of the lowest harmonics while keeping the magnitude of the fundamental component at its desired value. To achieve this goal a set of nonlinear transcendental equations with given certain boundary constraints should be solved and optimal switching angles would be computed. This paper introduces Memetic algorithm (MA) as a powerful tool applied to this complicated problem. The MA proposed in this paper, is a combination of Particle Swarm optimization (PSO) and Mesh Adaptive Direct Search (MADS) to gain well ability in both local refinement and global exploration. Convergence analysis of MA is also studied. Furthermore, this algorithm has been tested successfully on a three phase cascade multi-level inverter. Both simulation and Experimental results validate effectiveness of the proposed method.
Keywords :
harmonics suppression; invertors; particle swarm optimisation; MADS; PSO; SHE; convergence analysis; harmonic content control; harmonic reduction technique; memetic algorithm approach; mesh adaptive direct search; multilevel inverters; nonlinear transcendental equations; optimal switching angles; particle swarm optimization; selective harmonic elimination; Approximation methods; Convergence; Couplings; Probes; Pulse width modulation; Switches; Harmonic Elimination; Mesh Adaptive Direct Search; Multi-Level Inverters; Particle Swarm Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2014 5th
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/PEDSTC.2014.6799372
Filename :
6799372
Link To Document :
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