Optimal design of the generator of microturbine using genetic algorithm and PSO

Microturbine is one of the distributed power generation that produced electric in the remote and disastrous zones where grid power is unavailable. The design of its high-speed generator is much difficult and quite different from a conventional generator with low speed, because of high rotor speed an...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 2010-09, Vol.32 (7), p.804-808
Main Authors: Sadeghierad, M., Darabi, A., Lesani, H., Monsef, H.
Format: Article
Language:English
Subjects:
Applied sciences
Design engineering
Distributed power generation
Electric power generation
Electric power plants
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Flux
Generators
Genetic algorithm
Genetic algorithms
High speed
Microturbine
Miscellaneous
Optimization
Polysulfone resins
PSO
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Summary:Microturbine is one of the distributed power generation that produced electric in the remote and disastrous zones where grid power is unavailable. The design of its high-speed generator is much difficult and quite different from a conventional generator with low speed, because of high rotor speed and high frequency of the stator winding current. In this paper, the optimal design of this high speed axial flux generator (HSAFG) is introduced. The genetic algorithm and particle swarm optimization (PSO) are used for optimizing the efficiency of machine. PSO can show the better efficiency. At last, the influence of ratio of inner diameter to outer diameter (lambda) is discussed. The optimal lambda is between 0.3 and 0.5.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2010.01.017