Application of Grasshopper Optimization Algorithm for Selective Harmonics Elimination in Low-Frequency Voltage Source Inverter

Marcin Steczek, Włodzimierz Jefimowski and Adam Szeląg
Additional contact information
Marcin Steczek: Faculty of Electrical Engineering, Institute of Electrical Power Engineering, Warsaw University of Technology, pl. Politechniki 1, 00-661 Warszawa, Poland
Włodzimierz Jefimowski: Faculty of Electrical Engineering, Institute of Electrical Power Engineering, Warsaw University of Technology, pl. Politechniki 1, 00-661 Warszawa, Poland
Adam Szeląg: Faculty of Electrical Engineering, Institute of Electrical Power Engineering, Warsaw University of Technology, pl. Politechniki 1, 00-661 Warszawa, Poland

Energies, 2020, vol. 13, issue 23, 1-16

Abstract: In this paper, an application of the recently developed Grasshopper Optimization Algorithm (GOA) for calculation of switching angles for Selective Harmonic Elimination (SHE) PWM in low-frequency voltage source inverter is proposed. The algorithm is based on insect behavior in the food foraging swarm of grasshoppers. The characteristic feature of GOA is the movement of agents is based on the position of all agents in the swarm. This method represents a higher probability of convergence than Particle Swarm Optimization (PSO) Modifications of GOA have been examined regarding their effect on the algorithm’s convergence. The proposed modifications were based on the following techniques: Grey Wolf Optimizer (GWO), Natural Selection (NS), Adaptive Grasshopper Optimization Algorithm (AGOA), and Opposite Based Learning (OBL). The performance of GOA and its modifications were compared with well-known PSO. Areas, where GOA is superior to PSO in terms of probability of convergence, have been shown. The efficiency of the GOA algorithm applied for solving the SHE problem was confirmed by measurements in the laboratory.

Keywords: grasshopper optimization algorithm (GOA); particle swarm optimization (PSO); voltage source inverter (VSI); selective harmonics elimination PWM (SHEPWM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/23/6426/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/23/6426/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:23:p:6426-:d:457048

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().