CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Digital Simulation of Reduced Rule Fuzzy Logic Power System Stabilizer for Analysis of Power System Stability Enhancement

by Vijay Kumar Tayal, J. S. Lather
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 7
Year of Publication: 2012
Authors: Vijay Kumar Tayal, J. S. Lather
10.5120/7201-9979

Vijay Kumar Tayal, J. S. Lather . Digital Simulation of Reduced Rule Fuzzy Logic Power System Stabilizer for Analysis of Power System Stability Enhancement. International Journal of Computer Applications. 47, 7 ( June 2012), 25-31. DOI=10.5120/7201-9979

@article{ 10.5120/7201-9979,
author = { Vijay Kumar Tayal, J. S. Lather },
title = { Digital Simulation of Reduced Rule Fuzzy Logic Power System Stabilizer for Analysis of Power System Stability Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 7 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number7/7201-9979/ },
doi = { 10.5120/7201-9979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:16.546093+05:30
%A Vijay Kumar Tayal
%A J. S. Lather
%T Digital Simulation of Reduced Rule Fuzzy Logic Power System Stabilizer for Analysis of Power System Stability Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 7
%P 25-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a linearized Heffron-Philips model of a Single Machine Infinite Bus power system with a Fuzzy Logic Power System Stablizer (PSS) is developed. The designed fuzzy-based PSS adjusts two inputs by appropriately processing of the input angular speed and angular acceleration signal, and provides an efficient damping. The behavior of the SMIB system with & without PSS has been compared/ verified by selecting appropriate fuzzy rules with the help of simulation work carried out in MATLAB/ SIMULINK environment. The performance of the SMIB system has improved significantly compared to SMIB system without PSS. The results of the simulation show that the fuzzy PSS is more effective in damping LFO compared to conventional controllers. Further this paper investigates the design and implementation of a reduced rule fuzzy logic power system stablizer. Fuzzy controllers use a rule base to describe relationships between the input variables and output. Implementation of a detailed rule base increases in complexity as the number of input variables grow. if each input has 7 fuzzy sets, a fuzzy controller with two inputs needs 49 rules. The implementation of a controller with such a large rule base is a tedious task. We propose a reduced rule fuzzy logic power system stabilizer. The effectiveness of the reduced rule fuzzy logic power system stablizer is illustrated with simulations carried out in MATLAB.

References
  1. L. A. Zadeh, 'Fuzzy Sets', Information and Control 8, pp. 338-353, 1965.
  2. L. A. Zadeh, 'Outline of a New Approach to the Analysis of Complex Systems and Decision Processes', IEEE Transactions on Systems, Man, and Cybernetics 3 pp 28-44, 1973.
  3. L. A. Zadeh, 'A Theory of Approximate Reasoning', In: Machine Intelligence (Eds. J. E. Hayes and L. I. Mikulich), Ellis Horwood/John Wiley & Sons, New York, pp 149-196, 1979.
  4. L. A. Zadeh, 'A Rationale for Fuzzy Control', Transactions of the ASME, Ser. ies G (USA), Journal of Dynamic Systems, Measurement and Control 94, pp 3-4, 1974.
  5. W. J. M. Kickert and H. R. Van Nauta Lemke, 'Application of a Fuzzy Controller in a Warm Water Plant', Automatica 12, pp 301-308, 1976.
  6. M. Stephens and D. W. Shimmin, 'Robust Hierarchical Expert System Based Fuzzy Logic Controller with Application to Subsea Vehicles', IEE International Conference, Control '94, pp. 276-281, 1994.
  7. R. M. Tong, M. B. Beck, and A. Latten, 'Fuzzy Control of the Activated Sludge Wastewater Treatment Process', Automatica 16, pp. 695-701, 1980.
  8. C. P. Pappis and E. H. Mamdani, 'Fuzzy Logic Control of a Traffic Junction', IEEE Transactions on Systems, Man and Cybernetics 10, pp. 707-717, 1977.
  9. W. J. M. Kickert and E. H. Mamdani, "Analysis of a fuzzy logic controller," Fuzzy Sets Syst. , vol. 1, pp. 29–44, 1978.
  10. E. H. Mamdani and S. Assilian, "An experiment in linguistic synthesis with a fuzzy logic controller," Int. J. Man Mach. Stud. , vol. 7, pp. 1–13
  11. Wen-Shyong Yu and Chih-Jen Sun, 'Fuzzy Model Based Adaptive Control for a Class of Nonlinear Systems', IEEE Transactions on Fuzzy Systems, Vol. 9, No. 3, pp. 413-425, June 2001.
  12. E. H. Mamdani, 'Application of Fuzzy Set Theory to Control Systems: A Survey', In: Fuzzy Automata and Decision Processes (Eds. M. M. Gupta, G. N. Saridis, and B. R. Gaines), North-Holland, Amsterdam, Netherlands, 1977.
  13. O. Yagishito, O. Itoh, and M. Sugeno, 'Application of Fuzzy Reasoning to the Water Purification Process', In: Industrial Applications of Fuzzy Control, North Holland Amsterdam, Netherlands, pp. 19-40, 1985.
  14. B. M. Chung, J. H. Oh, 'Control of Dynamic Systems Using Fuzzy Learning Algorithm',Fuzzy Sets and Systems 59, pp. 1-14, 1993.
  15. da Cruz JJ, Zanetta LC. Stabilizer design for multimachine power systems using mathematical programming. Int J Electrical Power and Energy Syst 1997; 19(8):519–23.
  16. Maslennikov VA, Ustinov SM. The optimization method for coordinated tuning of power system regulators. Proceedings of the 12th Power System Computation Conference PSCC, Dresden, 1996. p. 70–75.
  17. Samarasinghe V, Pahalawaththa N. Damping of multimodal oscillations in power systems using variable structure control techniques. IEE Proc Genet Trans Distrib 1997; 144(3):323–31.
  18. Abido MA, Abdel-Magid YL. Hybridizing rule-based power system stabilizers with genetic algorithms. IEEE Trans Power Syst 1999; 14(2):600–7.
  19. P. Ramaswamy, R. M. Edwards, and K. Y. Lee, 'An Automatic Tuning Method of a Fuzzy Logic Controller for Nuclear Reactors',IEEE Transactions on Nuclear Science 40 (4) pp. 1253-1262, 1993.
  20. S. Shao, 'Fuzzy Self-organizing Controller and its Application for Dynamic Processes Fuzzy Sets and Systems 26, pp. 151-164, 1988. '
  21. S. Y. Yi and M. J. Chung, "Systematic design and stability analysis of a fuzzy logic controller", Fuzzy Sets Syst. , vol. 72, pp. 271–298, 1995.
  22. B. Friedland, Advanced Control System Design. Englewood Cliffs, NJ: Prentice-Hall, 1996.
  23. E. H. Mamdani, "Application of fuzzy algorithms for simple dynamic plant," Proc. Inst. Elect. Eng. , vol. 121, pp. 1585–1588, 1974.
  24. C. James Li and J. C. Tzou, 'Learning Fuzzy Control for Servo Systems', Fuzzy Sets and Systems 48, pp. 297-303,1992
Index Terms

Computer Science
Information Sciences

Keywords

Low Frequency Oscillations (lfo) Damping Fuzzy Logic Controller (flc) Fuzzy Set Theory Simulink

Powered by PhDFocusTM