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Renewable energy resource integrated multilevel inverter using evolutionary algorithms.
- Source :
- Automatika: Journal for Control, Measurement, Electronics, Computing & Communications; Aug2024, Vol. 65 Issue 3, p1061-1078, 18p
- Publication Year :
- 2024
-
Abstract
- In this paper, with the development of an intelligent power system idea, sustainable energy sources were increasingly deployed, including transmission and distribution systems networks. As a result, optimal use of cascaded H-bridge inverter topologies (MLIs) and power distribution operations is critical for long-term power generation. Traditionally, selective harmonics reduction models must be performed to achieve the optimal switching frequency of multilevel inverters. This research aims to determine the switching frequency for wind-incorporated multilevel inverters to reduce overall harmonic components used in grid applications. This research adds towards the best possible solution by employing multiple newly established adaptive optimization techniques: MNSGA-II and salp swarm. The well-known genetic algorithm and particle swarm optimization are used for the wind-tied multilevel inverters optimization issue. Sevenlevel, eleven-level, and fifteen-level MLIs were employed to reduce overall harmonic distortion. The reliability and convergence rate of simulated data with various modulation indices for seven-, eleven-, and fifteen-level MLIs are obtained and compared. Models are developed based on MATLAB Simulink and are used to validate quantitative measurements. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00051144
- Volume :
- 65
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- Automatika: Journal for Control, Measurement, Electronics, Computing & Communications
- Publication Type :
- Academic Journal
- Accession number :
- 178053758
- Full Text :
- https://doi.org/10.1080/00051144.2024.2329494