Multi-Verse Optimization Algorithm- and Salp Swarm Optimization Algorithm-Based Optimization of Multilevel Inverters
No Thumbnail Available
Date
2020
Authors
Ceylan, Oğuzhan
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Renewable energy sources are installed into both distribution and transmission grids more and more with the introduction of smart grid concept. Hence, efficient usage of cascaded H-bridge multilevel inverters (MLIs) for power control applications becomes vital for sustainable electricity. Conventionally, selective harmonic elimination equations need to be solved for obtaining optimum switching angles of MLIs. The objective of this study is to obtain switching angles for MLIs to minimize total harmonic distortion. This study contributes to the solution of this problem by utilizing two recently developed intelligent optimization algorithms: multi-verse optimization algorithm and salp swarm algorithm. Moreover, well-known particle swarm optimization is utilized for MLI optimization problem. Seven-level, 11-level and 15-level MLIs are used to minimize total harmonic distortions. Simulation results with different modulation indexes for seven-, 11- and 15-level MLIs are calculated and compared in terms of the accuracy and solution quality. Numerical calculations are verified by using MATLAB/Simulink-based models.
Description
Keywords
Multilevel inverters, Harmonic elimination, Multi-verse optimization algorithm, Salp swarm algorithm, Particle swarm optimization
Turkish CoHE Thesis Center URL
Fields of Science
Citation
12
WoS Q
Q1
Scopus Q
Q1