Generalized neuron-based adaptive PSS for multimachine environment

IEEE Transactions on Power Systems

Volumn 20, Issue 1, 2005, Pages 358-366

  Chaturvedi, D K ^a,b   Malik, O P ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b DAYALBAGH EDUCATIONAL INSTITUTE   (India)

Author keywords

Adaptive PSS; Generalized neuron controller; Neural network; On line training

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BACKPROPAGATION; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; DAMPING; IDENTIFICATION (CONTROL SYSTEMS); INTELLIGENT CONTROL; LEARNING ALGORITHMS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; OSCILLATIONS; SYSTEM STABILITY;

ADAPTIVE POWER SYSTEM STABILIZER (PSS); GENERALIZED NEURON CONTROLLER; ON-LINE TRAINING;

ELECTRIC POWER SYSTEMS;

EID: 13844309968     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2004.840410     Document Type: Article

References (27)

1. F. P. DeMello and T. F. Laskowski, "Concepts of power system dynamic stability," IEEE Trans. Power App. Syst., vol. PAS-94, pp. 827-833, 1979.
2. F. P. DeMello, L. N. Hannett, and J. M. Undrill, "Practical approaches to supplementary stabilizing from accelerating power," IEEE Trans. Power App. Syst., vol. PAS-97, pp. 1515-1522, 1978.
3. E. V. Larsen and D. A. Swann, "Applying power system stabilizer," IEEE Trans. Power App. Syst., vol. PAS-100, pp. 3017-3046, 1981.
4. K. S. Ohtsuka, S. Yokokama, H. Tanaka, and H. Doi, "A multivariable optimal control system for a generator," IEEE Trans. Energy Conversion, vol. EC-1, no.2, pp. 88-98, 1986.
5. D. A. Pierre, "A perspective on adaptive control of power systems," IEEE Trans. Power Syst., vol. PWRS-2, no. 2, pp. 387-396, May 1987.
6. P. M. Anderson and A. A. Fouad, Power System Control and Stability Ames, IA: Iowa State Univ. Press, 1977.
7. G. J. Rogers, "The application of power system stabilizers to a multigenerator plant," IEEE Trans. Power Syst., vol. 15, no. 1, pp. 350-355, Feb. 2000.
8. Y. Zhang, G. P. Chen, O. P. Malik, and G. S. Hope, "An artificial neural network based adaptive power system stabilizer," IEEE Trans. Energy Conversion, vol. EC-8, no. 1, pp. 71-77, Mar. 1993.
9. H. Yuan-Tih and C. Chao-Rong, "Tuning of power system stabilizer using an artificial neural network," IEEE Trans. Energy Conversion, vol. 6, no. 4, pp. 612-619, Dec. 1991.
10. E. Swidenbank, S. McLoone, D. Flym, G. W. Irwin, M. D. Brown, and B. W. Hogg, "Neural network based control for synchronous generators," IEEE Trans. Energy Conversion, vol. 14, no. 4, pp. 1673-1679, Dec. 1999.
11. M. A. Abido and Y. L. Abdel-Magid, "Tuning of power systems stabilizers using fuzzy basis function networks," Elect. Machines Power Syst. vol. 27, pp. 865-877, 1999.
12. T. Hiyama and C. M. Lim, "Application of fuzzy logic control scheme for stability enhancement of a power system," in Proc. IFAC Symp. Power Systems and Power Plant Control, Singapore, Aug. 1989.
13. B. Changaroon, S. C. Srivastava, and D. Thukaram, "A neural network based power system stabilizer suitable for on-line training-a practical case study for EGAT system," IEEE Trans. Energy Conversion, vol. 15, no. 1, pp. 103-109, Mar. 2000.
14. R. Segal, M. L. Kothari, and S. Madnani, "Radial basis function (RBF) network adaptive power system stabilizer," IEEE Trans. Power Syst. vol. 15, no. 2, pp. 722-727, May 2000.
15. N. Hosseinzadeh and A. Kalam, "A direct adaptive fuzzy power system stabilizer," IEEE Trans. Energy Conversion, vol. 14, no. 4, pp. 1564-1571, Dec. 1999.
16. D. K. Chaturvedi, P. S. Satsangi, and P. K. Kalra, "Load frequency control: A generalized neural network approach," Int. J. Elect. Power and Energy Systems, vol. 21, pp. 405-415, 1999.
17. A. Ghosh, G. Ledwich, O. P. Malik, and G. S. Hope, "Power system stabilizers based on adaptive control techniques," IEEE Trans. Power App. Syst., vol. PAS-103, no. 8, pp. 1983-1989, Aug. 1984.
18. S. Cheng, Y. S. Chow, O. P. Malik, and G. S. Hope, "An adaptive synchronous machine stabilizer," IEEE Trans. Power Syst., vol. PWRS-1, no. 3, pp. 387-396, Aug. 1986.
19. S. J. Cheng, O. P. Malik, and G. S. Hope, "Damping of multi-model oscillation in power systems using a dual rate adaptive stabilizer," IEEE Trans. Power Syst., vol. PWRS-3, no. 1, pp. 101-107, Feb. 1988.
20. G. P. Chen, O. P. Malik, G. S. Hope, Y. H. Qin, and G. Y. Xu, "An adaptive power system stabilizer based on the self-optimizing pole shifting control strategy," IEEE Trans. Energy Conversion, vol. 8, no. 4, pp. 639-645, Dec. 1993.
21. J. T. Spooner, M. Maggiore, R. Ordonez, K. M. Passino, and M. Kevin, Stable Adaptive Control and Estimation for Nonlinear Systems. New York: Wiley, 2002.
22. Y. Zhang, G. P. Chen, O. P. Malik, and G. S. Hope, "A muti-input power system stabilizer based on artificial neural networks," in Proc. IEEE WESCANEX 93, Saskatoon, SK, Canada, May 1993, pp. 240-246.
23. Y. Zhang, O. P. Malik, and G. P. Chen, "Artificial neural network power system stabilizers in multi-machine power system environment," IEEE Trans. Energy Conversion, vol. 10, no. 1, pp. 147-155, 1995.
24. D. K. Chaturvedi, O. P. Malik, and P. K. Kalra, "Experimental studies with a generalized neuron based power system stabilizer," IEEE Trans. Power Syst., vol. 19, no. 3, pp. 1445-1453, Aug. 2004.
25. K. Honik, M. Stinchombe, and H. White, "Multi-layer feedforward networks are universal approximatora," Neural Networks, vol. 2, pp. 359-366, 1989.
26. B. Widrow and M. A. Lehr, "30 years of adaptive neural networks: Perceptrons, madaline and backpropagation," Proc. IEEE, vol. 78, no. 9, pp. 1415-1442, Sep. 1990.
27. M. Mizumoto, "Pictorial representations of fuzzy connectives, part II: Cases of compensatory operators and self-dual operators," Fuzzy Sets and Syst., vol. 32, pp. 45-79, 1989.