Performance Analysis of a Self-Excited Synchronous Reluctance Generator with an Optimized Slitted-Rotor Core

Samuel Adjei-Frimpong, Mbika Muteba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper analyzes the performance of a self-excited synchronous reluctance generator. The rotor of the proposed synchronous reluctance generator (NSynRM) has a slitted rotor core to improve selected vital performance parameters. The slitted-rotor core design has been optimized for optimal performance using the Genetic Algorithm (GA) technique for minimal torque ripple and maximum average torque. The electromagnetic performance of the proposed synchronous reluctance generator with an unoptimized and optimized slitted-rotor core has been analyzed using a two-dimensional (2D) Finite Element Analysis (FEA) for AC magnetic transient solutions. The FEA results evidenced that after optimization, the torque ripples of the NSynRG with slitted rotor-core are reduced by 24.51%, 29.72%, and 13.13% when supplying 8A to unity, lagging and leading power factors loads, respectively. Furthermore, both FEA and Experimental (EXP) results reveal that the voltage regulation increases when the NSynRG supplies power to leading and unity power factor loads and decreases when feeding lagging power factor loads.

Original languageEnglish
Title of host publicationProceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331535162
DOIs
Publication statusPublished - 2025
Event33rd Southern African Universities Power Engineering Conference, SAUPEC 2025 - Pretoria, South Africa
Duration: 29 Jan 202530 Jan 2025

Publication series

NameProceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025

Conference

Conference33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
Country/TerritorySouth Africa
CityPretoria
Period29/01/2530/01/25

Keywords

  • Finite element method
  • genetic algorithm
  • performance evaluation
  • self-excited synchronous reluctance generator
  • slitted-rotor core
  • torque ripple

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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