2018
DOI: 10.1177/1077546318758799
|View full text |Cite
|
Sign up to set email alerts
|

Optimum SHEPWM for a new 21-level inverter topology using numerical optimization methods: experimental comparative study

Abstract: This article presents the application of the harmony search (HS) optimization algorithm for harmonic elimination in a new topology of multilevel inverters with a reduced number of electronic switching elements. The main objective of the harmonic elimination strategy is eliminating undesired low rank harmonics in order to improve the quality of the output waveform. The harmonic elimination strategy is achieved by solving a system of nonlinear equations. In this paper, HS optimization is applied using artificial… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 18 publications
0
2
0
Order By: Relevance
“…To improve the performance of the conventional GA, other variants hybrid genetic algorithms and the adaptive real coding GA is proposed to solve the drawbacks of the conventional GA-based SHEPWM [17]. Optimized GA techniques were proposed by integrating an artificial neural network (ANN) [20], [21], where the GA was initially used to optimize the switching angles of the SHEPWM, and then the ANN was used to select the best set of solutions. However, the results were not satisfactory as this technique was only applicable to high-frequency modulation techniques and they also suffer from the blackbox constraints of neural networks [22], [23].…”
Section: A Related Workmentioning
confidence: 99%
“…To improve the performance of the conventional GA, other variants hybrid genetic algorithms and the adaptive real coding GA is proposed to solve the drawbacks of the conventional GA-based SHEPWM [17]. Optimized GA techniques were proposed by integrating an artificial neural network (ANN) [20], [21], where the GA was initially used to optimize the switching angles of the SHEPWM, and then the ANN was used to select the best set of solutions. However, the results were not satisfactory as this technique was only applicable to high-frequency modulation techniques and they also suffer from the blackbox constraints of neural networks [22], [23].…”
Section: A Related Workmentioning
confidence: 99%
“…[19][20][21][22][23][24] More details on multilevel inverters can be found in the following works. [25][26][27][28] In this paper, the multilevel neutral point clamped (NPC) inverter is set up for lab. The major objectives of this paper include:…”
Section: Introductionmentioning
confidence: 99%