WASET
	%0 Journal Article
	%A A. K. Sharma and  N. P. Patidar and  G. Agnihotri and  D. K. Palwalia
	%D 2014
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 90, 2014
	%T Performance Analysis of Self Excited Induction Generator Using Artificial Bee Colony Algorithm
	%U https://publications.waset.org/pdf/9999512
	%V 90
	%X This paper presents the performance state analysis of
Self-Excited Induction Generator (SEIG) using Artificial Bee Colony
(ABC) optimization technique. The total admittance of the induction
machine is minimized to calculate the frequency and magnetizing
reactance corresponding to any rotor speed, load impedance and
excitation capacitance. The performance of SEIG is calculated using
the optimized parameter found. The results obtained by ABC
algorithm are compared with results from numerical method. The
results obtained coincide with the numerical method results. This
technique proves to be efficient in solving nonlinear constrained
optimization problems and analyzing the performance of SEIG.

	%P 987 - 992