A Novel Unified Approach for the Analysis and Design of Wind-Driven SEIGs using Nested GAs

A unified procedure for the design optimization and performance predetermination of wind-driven three-phase Self-Excited Induction Generators (SEIGs) has been attempted using Genetic Algorithm (GA) twice, in two nested loops. The outer loop is meant for the calculation of the values of turns per coi...

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Bibliographic Details
Published in:Wind engineering 2009-12, Vol.33 (6), p.631-647
Main Authors: Karthigaivel, R., Kumaresan, N., Raja, P., Subbiah, M.
Format: Article
Language:English
Subjects:
Capacitance
Design analysis
Design engineering
Design optimization
Economics
Electric current
Electric generators
Electric potential
Equivalent circuits
Estimating
Genetic algorithms
Nested loops
Reactance
Stators
Wind engineering
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Summary:A unified procedure for the design optimization and performance predetermination of wind-driven three-phase Self-Excited Induction Generators (SEIGs) has been attempted using Genetic Algorithm (GA) twice, in two nested loops. The outer loop is meant for the calculation of the values of turns per coil of the stator winding and the excitation capacitor which would meet the specified performance constraints of the generator. The inner loop applies the GA tool for the first time, for a straightforward predetermination of these performance quantities. Further, additional schemes such as, switching of the stator connection from delta to star, at times of lower wind speed and short shunt arrangement suitable for lagging power loads, have also been included. Method of estimating the ranges for the variables, required to be given as input data into each of these two loops for the application of GA, has been explained. Experimental results obtained on a test machine and performance values predicted employing Genetic Algorithm, have been shown to agree closely, validating the comprehensive methodology proposed for the first time for the economical design of SEIGs for wind-driven applications.
ISSN:0309-524X
2048-402X
DOI:10.1260/0309-524X.33.6.631