Analysis of Self Excited Induction Generator using Particle Swarm Optimization
In this paper, Novel method, Particle Swarm Optimization (PSO) algorithm, based technique is proposed to estimate and analyze the steady state performance of self-excited induction generator (SEIG). In this novel method the tedious job of deriving the complex coefficients of a polynomial equation and solving it, as in previous methods, is not required. By comparing the simulation results obtained by the proposed method with those obtained by the well known mathematical methods, a good agreement between these results is obtained. The comparison validates the effectiveness of the proposed technique.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072447Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2159
 M. H. Haque, "A Novel Method of Evaluating Performance Characteristics of a Self-Excited Induction Generator", IEEE Transactions on Energy Conversion, Vol. 24, No. 2, pp.358-365, June 2009.
 Gurung K., Freere P.,"MATLAB symbolic computation for the steady state modeling of symmetrically loaded self excited induction generator", Kathmandu university journal of science, engineering and technology, Vol. I, No. III, pp.1-7, January 2007.
 M. H. Haque, "Analysis of a Self-Excited Induction Generator with P-Q Load Model", IEEE Transaction on Energy Conversion, Vol. 25, No. 1, pp.265-267, March 2010.
 D. Joshi, K. S. Sandhu, and M. K. Soni, "Performance Analysis of Self- Excited Induction Generator Using Artificial Neural Network", Iranian Journal of Electrical and Computer Engineering, Vol. 5, No. 1, pp.57-62 Winter-Spring 2006.
 Raja Singh Khela, R. K. Bansal, K. S. Sandhu, and A. K. Goel, "Cascaded ANN for Evaluation of Frequency and Air-gap Voltage of Self-Excited Induction Generator", World Academy of Science, Engineering and Technolgy 27, pp.301-307,2007.
 A.A.Arkadan,Y.Abou-Samra,Z.H.Ramadan, "Radial Basis Networks for the Simulation of Stand Alone AC Generators during No-Break Power Transfer", Marquette University, Milwaukee, WI, pp.237-243, 2007.
 S.Mahley, "Steady State Analysis of three phase Self-Excited Induction Generator, Master Thesis, Department of Power Systems and Electric Drives, Thapar University, Patiala, 2008.
 S Singaravelu Dr. S Velusami, "Generalized Steady State Modeling and Analysis of Three Phase Self Excited Induction Generators", International Journal of Emerging Electric Power Systems, Vol. 3, Issue 2, Article 1080, 2005.
 H.E.A.Ibrahim, M.M.Metwaly and M.F.Serag, "Analysis of self excited induction generator (SEIG) using symbolic toolbox and artificial neural network (ANN)", Ain shams journal of electrical engineering (ASJEE), Vol.2, pp.17-28, Dec.2010.
 Raja Singh Khela , Raj Kumar Bansal , K. S. Sandhu and Ashok Kumar Goel, "Application of Artificial Neural Network for Analysis of Self- Excited Induction Generator", JCS and T, Vol. 6, No. 2, pp.73-79, October 2006.
 R.C.Bansal,"Three-Phase Self-Excited Induction Generators:An Overview", IEEE Transactions on Energy Conversion, Vol. 20, No. 2, pp.292-299, June 2005.