Application of genetic algorithm to improve voltage regulation of self-excited induction generator in a wind energy conversion system. (4th December 2006)

• Record Type: Journal Article
• Authors: Joshi, Dheeraj; Sandhu, K.S.; Soni, M.K.
• Is Part Of: International journal of intelligent systems technologies and applications. Volume 2:Number 1(2007)
• Page Start: 20
• Page End: 31
• Publication Date: 2006-12-04
• Subjects: genetic algorithms -- self-excited induction generators -- voltage regulation -- wind energy conversion systems -- wind power -- renewable energy -- intelligent systems -- simulation -- modelling; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 006.3
• Languages: English
• ISSNs: 1740-8865

Abstract

Self-excited induction generators have been found to be most suitable for wind energy conversion in remote locations. In this paper, an attempt has been made to improve the voltage regulation of self-excited induction generator (SEIG) using series compensation. A new methodology has been developed to compute the generated frequency (a), magnetising reactance (Xm ), shunt capacitance (Csh ) and series capacitance (Cse ), using Genetic Algorithm (GA). Computed results using proposed modelling have been compared with experimental results. A close agreement between the computed and experimental results confirms the validity of the approach adopted.