Volume 3, Issue 2 (3-2015)                   SCJ 2015, 3(2): 20-30 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mohammadi H R, Akhavan A. Performance Comparison of HSA, ICA and PSO Algorithms for Selective Harmonic Elimination in Cascaded Multilevel Inverter with Variable DC Sources. SCJ. 2015; 3 (2) :20-30
URL: http://scj.kashanu.ac.ir/article-1-163-en.html
1- University of Kashan , mohammadi@kashanu.ac.ir
2- University of Kashan
Abstract:   (3172 Views)
In this paper, a new approach for selective harmonic elimination (SHE) in a cascaded multilevel inverter is proposed. The switching angles are determined with the assumption of varying input DC sources and at this condition the fundamental component is remained adjusted and undesired harmonic components are eliminated. The on-line switching angles determination is done by an Artificial Neural Network (ANN). The training data set for ANN are produced by application of heuristic algorithms to solve the SHE problem. In this paper, various algorithms such as harmony search algorithm, imperialist competitive algorithm and particle swarm optimization are applied to obtain the switching angles and by comparing the results of these methods, the better one is used for ANN training.
Full-Text [PDF 1009 kb]   (2505 Downloads)    
Type of Study: Research | Subject: Special
Received: 2014/07/2 | Accepted: 2014/12/27 | Published: 2015/09/3

Add your comments about this article : Your username or Email:

Send email to the article author

© 2020 All Rights Reserved | Soft Computing Journal

Designed & Developed by : Yektaweb