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Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator

The Hybrid Excitation Flux Switching Generator (HEFSG) has gained significant popularity in recent times owing to its relatively simple remarkably efficient topology. To optimize the performance of the generator, recent advancements and emerging patterns in mathematical modeling and software simula...

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Main Authors: Mostaman, Nur Afiqah, Sulaiman, Erwan, Jenal, Mahyuzie
Format: Article
Language:English
Published: icc press 2024
Subjects:
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Online Access:http://eprints.uthm.edu.my/12115/1/J17674_41347855af56b338928995c99e199f5a.pdf
http://eprints.uthm.edu.my/12115/
https://doi.org/10.30486/mjee.2024.1998536.1290
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spelling my.uthm.eprints.121152024-12-01T03:06:34Z http://eprints.uthm.edu.my/12115/ Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator Mostaman, Nur Afiqah Sulaiman, Erwan Jenal, Mahyuzie TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers The Hybrid Excitation Flux Switching Generator (HEFSG) has gained significant popularity in recent times owing to its relatively simple remarkably efficient topology. To optimize the performance of the generator, recent advancements and emerging patterns in mathematical modeling and software simulation, along with the utilization of optimization techniques, have facilitated the development of a novel methodology for electrical machine design. This study investigates the configuration and optimization of a Hybrid Excitation Flux Switching Generator, focusing on the rotor, armature coil, and field excitation. The optimization process involves multiple sequences for each component, employing the Local Optimization Method as an iterative approach to determine the optimal sequence that yields the highest output efficiency. Through the investigation of six rotor sequences, two armature coil sequences, and two field excitation coil sequences, a detailed optimization process was conducted. Consequently, the final output voltage of the HEFSG gains a 1.10% increment of voltage compared to the initial outcomes. Several sequences have influenced the output voltage performance of the generator during the optimization process. Therefore, modifications to the design of the arrangement contribute to the expansion of the operational range of the generator. icc press 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12115/1/J17674_41347855af56b338928995c99e199f5a.pdf Mostaman, Nur Afiqah and Sulaiman, Erwan and Jenal, Mahyuzie (2024) Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator. Majlesi Journal of Electrical Engineering, 18 (1). pp. 253-263. https://doi.org/10.30486/mjee.2024.1998536.1290
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
spellingShingle TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Mostaman, Nur Afiqah
Sulaiman, Erwan
Jenal, Mahyuzie
Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator
description The Hybrid Excitation Flux Switching Generator (HEFSG) has gained significant popularity in recent times owing to its relatively simple remarkably efficient topology. To optimize the performance of the generator, recent advancements and emerging patterns in mathematical modeling and software simulation, along with the utilization of optimization techniques, have facilitated the development of a novel methodology for electrical machine design. This study investigates the configuration and optimization of a Hybrid Excitation Flux Switching Generator, focusing on the rotor, armature coil, and field excitation. The optimization process involves multiple sequences for each component, employing the Local Optimization Method as an iterative approach to determine the optimal sequence that yields the highest output efficiency. Through the investigation of six rotor sequences, two armature coil sequences, and two field excitation coil sequences, a detailed optimization process was conducted. Consequently, the final output voltage of the HEFSG gains a 1.10% increment of voltage compared to the initial outcomes. Several sequences have influenced the output voltage performance of the generator during the optimization process. Therefore, modifications to the design of the arrangement contribute to the expansion of the operational range of the generator.
format Article
author Mostaman, Nur Afiqah
Sulaiman, Erwan
Jenal, Mahyuzie
author_facet Mostaman, Nur Afiqah
Sulaiman, Erwan
Jenal, Mahyuzie
author_sort Mostaman, Nur Afiqah
title Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator
title_short Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator
title_full Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator
title_fullStr Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator
title_full_unstemmed Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator
title_sort sequential parts analysis using local optimization method for hybrid excitation flux switching generator
publisher icc press
publishDate 2024
url http://eprints.uthm.edu.my/12115/1/J17674_41347855af56b338928995c99e199f5a.pdf
http://eprints.uthm.edu.my/12115/
https://doi.org/10.30486/mjee.2024.1998536.1290
_version_ 1817845167193849856
score 13.223943

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