Browse > Article

T-S Fuzzy Modeling of Synchronous Generator in a Power System  

Lee, Hee-Jin (연세대 공대 전기전자공학부)
Baek, Seung-Mook (연세대 공대 전기전자공학부)
Park, Jung-Wook (연세대 공대 전기전자공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.9, 2008 , pp. 1642-1651 More about this Journal
Abstract
The dynamic behavior of power systems is affected by the interactions between linear and nonlinear components. To analyze those complicated power systems, the linear approaches have been widely used so far. Especially, a synchronous generator has been designed by using linear models and traditional techniques. However, due to its wide operating range, complex dynamics, transient performances, and its nonlinearities, it cannot be accurately modeled as linear methods based on small-signal analysis. This paper describes an application of the Takaki-Sugeno (T-S) fuzzy method to model the synchronous generator in a single-machine infinite bus (SMIB) system. The T-S fuzzy model can provide a highly nonlinear functional relation with a comparatively small number of fuzzy rules. The simulation results show that the proposed T-S fuzzy modeling captures all dynamic characteristics for the synchronous generator, which are exactly same as those by the conventional modeling method.
Keywords
LMI; Nonlinearity; Power system; Synchronous generator; T-S fuzzy;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 Kazuo. Tanaka and M. Sugeno, "Stability analysis and design of fuzzy control systems", Fuzzy Sets System, Vol. 45, pp. 136-156, 1992
2 Hadi Saadat, Power System Analysis, Second Edtion, McGraw-Hill, Inc. 2004, ISBN 007-123955-3
3 J. W. Park, G. K. Venayagamoorthy and R. G. Harley, "MLP/RBF Neural-Networks-Based Online Global Model Identification of Synchronous Generator", IEEE Transactions on Industrial Electronics, Vol. 52, No. 6, Dec. 2005
4 E. Kim and D. Kim, "Stability analysis and synthesis for an affine fuzzy system via LMI and ILMI: Discrete case", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 31, pp.132-140, Feb. 2001   DOI   ScienceOn
5 P. W. Sauer and M. A. Pai, Power System Dynamics and Stability, Englewood Cliffs, NJ: Prentice-Hall, 1998
6 Kazuo Tanaka, Takayuki Ikeda, Hua O. Wang, "Fuzzy Regulators and Fuzzy Observers: Relaxed Stability Conditions and LMI-Based Designs", IEEE Transactions on Fuzzy Systems, Vol. 6, No. 2, May 1998
7 S. H. Zak and C. A. Maccarley, "State-Feedback Control of Nonlinear Systems", International Journal of Control, Vol. 43, No. 5, 1986
8 F. Cuesta, F. Gordillo, J. Aracil, and A. Ollero, "Stability analysis of nonlinear multivariable Takaki-Sugeno fuzzy control systems", IEEE Transactions on Fuzzy Systems, Vol. 7, pp.508-520, Oct. 1999   DOI   ScienceOn
9 Gang Feng, "Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions", IEEE Transactions on Fuzzy Systems, Vol. 12, pp.22-28, Feb. 2004   DOI   ScienceOn
10 Chang-Woo Park, Chang-Ho Hyun, Min- Sick Park, Chang-Hun Lee, Jaehun Kim and Mignon Park, "Control of uncertain flexible joint manipulator using adaptive Takagi-Sugeno fuzzy model based controller", IEEE International Conference, Robotics and Automation, Proceedings 2001 ICRA, Vol. 1, pp.985-990 2001
11 S. Kawamoto, et. al., "Nonliear Control and Rigorous Stability Analysis Based on Fuzzy System for Inverted Pendulum," In Proc. of FUZZ-IEEE 96, Vol. 2, 1996
12 Feng Zheng and Qing-Guo Wang, "Robust PI Controller Design for Nonlinear Systems via Fuzzy Modeling Approach", IEEE Transactions on Systems Man, and Cybernetics, Vol. 31, no.6, pp.666-675, 2001   DOI   ScienceOn
13 Prabha Kundur, Power system stability and Control, EPRI Editors, McGraw-Hill, Inc. 1993
14 E. Kim and S. Kim, "Stability analysis and synthesis for an affine fuzzy system via LMI and ILMI: a continuous case", IEEE Transactions on Fuzzy Systems, Vol. 10, pp.391-400, June 2002   DOI   ScienceOn
15 T. Takagi and M. Sugeno, "Fuzzy Identification of Systems and Its Applications to Modeling and Control", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 15, no.1, pp.116-132, 1985
16 E. Kim, M. Park and S. Ji, "A new approach to fuzzy modeling", IEEE Transactions on Fuzzy Systems, Vol. 5, pp.328-337, Aug 1997   DOI   ScienceOn
17 P. M. Anderson and A. A. Fouad, Power System Control and Stability. New York: IEEE Press, 1994