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- Title
A Novel Unified Approach for the Analysis and Design of Wind-Driven SEIGs using Nested GAs.
- Authors
Karthigaivel, R.; Kumaresan, N.; Raja, P.; Subbiah, M.
- Abstract
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.
- Subjects
MATHEMATICAL optimization; SELF-induced vibration; GENETIC algorithms; SWITCHING circuits; WIND speed; ELECTRICAL load
- Publication
Wind Engineering, 2009, Vol 33, Issue 6, p631
- ISSN
0309-524X
- Publication type
Article
- DOI
10.1260/0309-524X.33.6.631