Modeling and Optimization of a large Hybrid Excitation Synchronous Generator

The use of Hybrid Excitation Synchronous Machine (HESM) can widely be extended to any size of power applications in regards to its high efficiency and simplicity of flux control. The aim of this thesis consists to analyze different design constraints and develop optimization processes of a Hybrid Excitation Synchronous Generator (HESG).Analytical and lumped models were used with reasonable level of accuracy and minimum computation time. The model has been validated by comparing the result to those achieved by FEM.The study shows the technical and economical advantages of the use of HESG compare to the conventional Salient Pole Synchronous Generator (SPSG). The comparison between the two generator topologies was considered for constant and variable speed applications such as wind energy. The influence of several parameters such as frequency and the number of slot per pole and per phase was investigated. For the case of wind energy application the study shows the importance of Weibull distribution and the speed range when looking for the optimized generator.In order to validate the multi-physics model, a 1MVA HESG was considered and a prototype produced. To highlight the advantages and performances of HESG generator a test program was carried out into steps. A first set of tests have been made before bounding the permanent magnets and the second set of tests have been made after bounding the permanent magnets

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Source https://theses.hal.science/tel-00907699
Author Ammar, Aymen
Maintainer CCSD
Last Updated May 8, 2026, 03:40 (UTC)
Created May 8, 2026, 03:40 (UTC)
Identifier NNT: 2013ECLI0010
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP) ; Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies-JUNIA (JUNIA) ; Université catholique de Lille (UCL)-Université catholique de Lille (UCL)
creator Ammar, Aymen
date 2013-06-28T00:00:00
harvest_object_id b68f8238-bf6a-4b5c-a160-7088e173da30
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE