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Generalized State-Space Modeling of Three Phase Self-Excited Induction Generator For Dynamic Characteristics and Analysis
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 Title & Authors
Generalized State-Space Modeling of Three Phase Self-Excited Induction Generator For Dynamic Characteristics and Analysis
Kumar Garlapati Satish; Kishore Avinash;
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 Abstract
This paper presents the generalized dynamic modeling of self-excited induction generator (SEIG) using state-space approach. The proposed dynamic model consists of induction generator; self-excitation capacitance and load model are expressed in stationary d-q reference frame with the actual saturation curve of the machine. An artificial neural network model is implemented to estimate the machine magnetizing inductance based on the knowledge of magnetizing current. The dynamic performance of SEIG is investigated under no load, with the load, perturbation of load, short circuit at stator terminals, and variation of prime mover speed, variation of capacitance value by considering the effect of main and cross-flux saturation. During voltage buildup the variation in magnetizing inductance is taken into consideration. The performance of SEIG system under various conditions as mentioned above is simulated using MATLAB/SIMULINK and the simulation results demonstrates the feasibility of the proposed system.
 Keywords
Magnetizing inductance;Modeling and Simulation;Self-Excited Induction Generator (SEIG);Artificial Neural Networks Transient Analysis;
 Language
English
 Cited by
1.
Formulation of the Neural Network for Implicit Constitutive Model (II) : Application to Inelastic Constitutive Equations,;;;

International Journal of Fuzzy Logic and Intelligent Systems, 2008. vol.8. 4, pp.264-269 crossref(new window)
 References
1.
E.D .Basset, F.M.Potter, 'capacitive excitation of induction generators', Trans.Amer.Inst.Elect.Eng, vol. 54, no. 5. pp.540-545, May1935 crossref(new window)

2.
S. S. Murthy, C. Nagmani, K. V. V. Satyanarayana, 'Studies of the use of conventional induction motors as self excited induction generators', IEEE trans. on energy conv, vol. 3, no. 4, Dec. 1998

3.
L. Sridhar, B.Singh, C. S. Jha, 'Transient performance of the self regulated short shunt Self excited induction generator', IEEE Tran. On energy conversion, vol. 10, no. 2, pp.261-267, June 1995 crossref(new window)

4.
J. L. Bhattacharya, J. L. Woodward, 'Excitation Balancing of a self excited induction generator for maximum power output', lEE proceedings, Vol. 135, Pt. C, No. March 1998

5.
R. J. Harrington, F. M. M. Bassiouny, 'New Approach to determine the critical capacitance for self excited induction generators', IEEE transaction on energy conversion, vol. 13, no. 3, September 1998

6.
Li Wang, Jian- Yi Su, 'Dynamic Performances of an Isolated Self Excited Induction Generator Under various loading conditions', IEEE transaction on energy conversion, vol. 14, no. 1, March 1999

7.
S. Daher, R. Pontes, F. Auntunes, 'A Stand alone three phase induction generator based wind energy storage system', IEEE transaction on energy conversion, 1999

8.
Li Wang, Jian- Yi Su, 'Steady State analysis of an Isolated Self Excited Induction Generator Under unbalanced excitation capacitors', IEEE trans. On energy conv., vol. 14, no. 4, pp. 887-893, Dec 1999 crossref(new window)

9.
S.K. Jain, J.D. Sharma and S.P. Singh 'Transient performance of three-phase self-excited induction generator during balanced and unbalanced faults', lEE Pro.-Gcner: Trans. Distrb. Vol. 149, No.1. January 2002

10.
F.A.Farret, B.Palle, M.G.Simoes,' State-space modeling of parallel self-excited induction generator for wind form simulation', IEEE transactions on Industry applications, Vol.41, No.4, July-August 2005

11.
Avinash Kishore, G.Satish Kumar,' Generalized state space modeling of three phase self excited induction generator for dynamic characteristics', IEEE-ICIEA06 conference, Singapore 24-26 May, 2006,pp-1431-1436

12.
Chee-mun ong, dynamic simulation of electric machinery, Prentice Hall PTR, New Jersey, 1998, pp167-202

13.
Howard Demuth, Mark Beal,'Neural Network ToolBox for Use with Matlab'.user Guide, The Math works Inc., June 1992

14.
Satish Kumar,' neural networks a classroom approach', Tata McGraw-hill publishing company ltd., New Delhi, 2004

15.
Haykins.s,' neural networks: a comprehensive foundation ',second edition, prentice-Hall .Upper saddle River, New Jersey, 1999