Cover
Vol. 10 No. 1 (2010)

Published: June 30, 2010

Pages: 37-45

Original Article

Neuro-Fuzzy Control of Single Machine Infinite Bus Power System

Abduladhem A. Ali 1 Abbas H. Abbas 1 Rasheed S. Jassim 1
1 College or Engineering, University of Basrah
History
  • Received: March 30, 2010
  • Available Online: June 30, 2010
DOI

https://doi.org/10.33971/bjes.10.1.4

Abstract

The excitation and governing control of generator play an important role in improving the dynamic and transient stability of power system. Typically the excitation control and governing control are designed independently. This paper, presented Neuro-Fu;,.zy methods for the excitation and governing control . Neuro-Fuz.zy system is applied to generate two compensating signals to modify the controls dwing system disturbances. A single machine to infinite bus (SMIB) system is applied in simulation. The MATLAB SIMULIK and S-function technique is used to simulate the system and controllers

References

  1. K.R. Padiyar, "Power System Dynamics - Stability and Control", BS Publications, Hyderabad, India, 2002.
  2. I.J. Nagrath and D.P. Kothari, "Modern Power System Analysis", Second Edition, Tata McGraw-Hill Publishing Company Limited, New Delhi, 1993.
  3. J. Machowski, J.W. Bialek, S. Robak, and J.R. Bumby, "Excitation Control System For Use with Synchronous Generators", IEE Proc. Gener. Transm. Distrib., Vol. 145, No. 5, Sept 1998.
  4. J. Murgas, L. Miklovicova, A. Dobrovic, and J. Dubravsky, "Two Level Turbogenerator Control System", Journal of ELECTRICAL ENGINEERING, Vol. 55, No. 3-4, 2004, pp. 83-88.
  5. N. Chang, Z. Guo, Z. Lv, and B. Li, "Nonlinear Decentralized Robust Control Power System Based On Synchronized Phasor Measurements", Power System Communication and Infrastructures for the Future, Beijing, September 2002.
  6. Yi Guo, D. J. Hill, and Y. Wang, "Nonlinear Decentralized Control of Large-Scale Power Systems", Automatica, Vol. 36, No. 9, pp. 1275-1289, 2000.
  7. J. De Leon-Morales, K. Busawon, and S. Acha-Daza, "A Robust Observer-Based Controller for Synchronous Generators", Electrical Power and Energy Systems, 23(2001), pp. 195-211.
  8. D.K. Lee, T.W. Yoon, B. Lee, and G.T. Park, "Adaptive Nonlinear Control of a Power System", Proceeding of IEEE International Conference on Control Applications, Trieste, Italy, September 1998.
  9. J. Janshi, L.H. Herron, and A. Kalam, "Comparison of Fuzzy Logic Based and Rule Based Power System Stabilizer", IEEE Trans. on Syst. Man Cyb., Vol. SMC-24, No. 3, pp. 692-697, 1992.
  10. P. Hoang and K. Tomsovic, "Design and Analysis of an Adaptive Fuzzy Power System Stabilizer", IEEE Trans. on Energy Conversion, Vol. 11, No. 2, June 1996.
  11. T. Yong, R.H. Lasseter, and W. Gui, "Coordination of Excitation and Governing Control Based on Fuzzy Logic", IEEE Power Engineering Society, Winter Meeting, Vol. 1, No. 31, pp. 737-743, Jan/Feb 1999.
  12. Y.L. Karnavas and D.P. Papadopoulos, "Power Generation Control of A Wind-Diesel System Using Fuzzy Logic and Pi-Sigma Networks", 12th International Conference on Intelligent System Application to Power Systems (ISAP), 2003.
  13. J.S.R. Jang and C.T. Sun, "Neuro-Fuzzy Modeling and Control", Proceedings of the IEEE, 1995.
  14. J.S.R. Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System", IEEE Trans. on Systems, Man, and Cybernetics, Vol. 23, No. 3, pp. 665-685, May 1993.