International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Design of Simple Neuro-controller for Global Transient Control and Voltage Regulation of Power Systems

  • Jalili-Kharaajoo Mahdi (Young Researchers Club of Azad University and also the Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department University of Tehran) ;
  • Mohammadi-Milasi Rasoul (Young Researchers Club of Azad University and also the Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department University of Tehran)
  • Published : 2005.06.01
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Abstract

A novel neuro controller based simple neuro-structure with modified error function is introduced in this paper. This controller consists of two independent controllers, known as the voltage regulator and the angular controller. The voltage regulator is used to modify terminal voltage for the purpose of tracking a reference voltage. The angular controller is utilized to guarantee the stability of the system. In this structure each neuron uses a linear hard limit activation function that depends on the controlled variable and its derivatives. There is no need for parameter identification or any off-line training data. Two proposed controllers are merged by a smooth switch to build a complete controller. The effectiveness of the proposed novel control action is demonstrated through some computer simulations on a Single-Machine Infinite-Bus (SMIB) power system.

Keywords

References

  1. P. M. Anderson and A. A. Fouad, Power System Control and Stability, Iowa State University Press, Ames, Iowa, 1997
  2. P. Kundur, Power System Stability and Control, In the EORl Power System Engineering Series, New York, McGraw Hill, 1994
  3. Y. Wang, D. J. Hill, R. H. Middleton, and L. Gao, 'Transient stability enhancement and voltage regulation for power systems,' IEEE Trans. on Power Systems, vol. 8, no. 2, pp. 620-627, 1993
  4. H. S. Ko, K. Y. Lee, and H. C. Kim, 'An intelligent based LQR controller design for power system stabilization,' Electric Power Systems Research, vol. 71, no. 1, pp. 1-9,2004
  5. L. Elshafei, K. A. El-Metwally, and A. A. Shaltout, 'A variable-structure adaptive fuzzy-logic stabilizer for single and multi-machine power systems,' Control Engineering Practice, vol. 13, no. 4, pp. 413-423,2004
  6. N. Yadaiah, A. Ganga, D. Kumar, and J. L. Bhattacharya, 'Fuzzy based coordinated controller for power system stability and voltage regulation,' Electric Power Systems Research, vol. 69, no. 2-3, pp. 169-177,2004
  7. Y. Guo, D. J. Hill, and Y. Wang, 'Global transient stability and voltage regulation for power systems,' IEEE Trans. on Power Systems, vol. 16, no. 4, pp. 678-688,2001
  8. C. Zhu, R. Zhou, and Y. Wang, 'A new nonlinear voltage controller for power systems,' International Journal of Electrical Power & Energy Systems, vol. 19, no. 1, pp. 19-27, 1996
  9. T. Fukuda and T. Shibata, 'Theory and applications of neural networks for industrial control systems," IEEE Trans. on Industrial Electronics, vol. 39, no. 6, pp. 472-489,1992
  10. M. A. El-Sharkawi and D. Niebur, (Editors), A Tutorial Course on Artificial Neural Networks with Applications to Power Systems. IEEE Tutorial Course, Chapters 7 and 12, IEEE Power Engineering Society Special Pub., no. 96TP112-120, 1996
  11. P. Shamsollahi and O. P. Malik, 'An adaptive power system stabilizer using on-line trained neural networks,' IEEE Trans. on Energy Conversion, vol. 12, no. 4, pp. 382-387, 1997
  12. W. Liu, G. K. Venayagamoorthy, and D. C. Wunsch, Design of an adaptive neural network based power system stabilizer,' Neural Networks, vol. 16, no. 5-6, pp. 891-898,2003
  13. O. P. Malik, 'Amalgamation of adaptive control and AI techniques: applications to generator excitation control,' Annual Reviews in Control, vol. 28,no. 1,pp. 97-106,2004
  14. M. M. Salem, A. M. Zaki, and O. P. Malik, 'Real-time implementation of neuro-AVR for synchronous generators,' Proc. of 15$^{15}$ IFAC World Congress, Barcelona, Spain, 2002
  15. M. M. Salem, A. M. Zaki, O. A. Mahgoub, E. Abu El Zahab, and O. P. Malik, 'Generating unit excitation neuro-controller,' Proc. of IFAC Symposium on Power Plants and Power Systems Control, Brussels, Belgium, pp. 97-102,2000
  16. M. M. Salem, O. P. Malik, A. M. Zaki, O. A. Mahgoub, and E. A. El-Zahab, 'Simple neurocontroller with a modified error function for a synchronous generator,' International Journal of Electrical Power & Energy Systems, vol. 25, no. 9,pp.759-771,2003
  17. M. J. Yazdanpanah and M. Jalili-Kharaajoo, 'Optimal nonlinear transient control with neuro AVR of single-machine infinite-bus power systems,' Proc. of IEEE Decision and Control, pp. 1238-1243,2003
  18. P. Shamsollahi and O. P. Malik, Design of a neural adaptive power system stabilizer using dynamic backpropagation method,' International Journal of Electrical Power & Energy Systems, vol. 22, pp. 29-34, 2000
  19. M. Jalili-Kharaajoo and M. J. Yazdanpanah, 'Transient control and voltage regulation of power systems using approximate solution of HJB equation,' Proc. of European Control conference, Oxford, England, 2003