Have a personal or library account? Click to login
Comparison of Damping Performance of Conventional And Neuro–Fuzzy Based Power System Stabilizers Applied in Multi–Machine Power Systems Cover

Comparison of Damping Performance of Conventional And Neuro–Fuzzy Based Power System Stabilizers Applied in Multi–Machine Power Systems

Journal of Electrical Engineering
Volume 64 (2013): Issue 6 (November 2013)
By: Duraiswamy Murali and  Marimuthu Rajaram  
Open Access
|Nov 2013

References

  1. [1] SAUER, P. W.-PAI, M. A. KUNDUR: Power System Dynamics and Stability, Prentice Hall, 1998.
    Search in Google Scholar
  2. [2] ROGERS, G. : Power System Oscillations, Kluwer Academic Publishers, 2000.10.1007/978-1-4615-4561-3
    Search in Google Scholar
  3. [3] WATSON, W.-MANCHUR, G. : Experience with Supplementary Damping Signals for Generator Static Excitation Systems, IEEE Trans. PAS, 92 (Jan 1973), 199-203.10.1109/TPAS.1973.293613
    Search in Google Scholar
  4. [4] KLEIN, M.et al : A Fundamental Study of Inter-area Oscillations in Power Systems, IEEE Trans. on Power Systems 6 No. 3 (Aug.1991), 914-921.
    Search in Google Scholar
  5. [5] KLEIN, M.et al : Analytical Investigation of Factors Influencing Power System Stabilizers Performance, IEEE Trans. on Energy Conversion 7 No. 3 (Sept.1992), 382-390.
    Search in Google Scholar
  6. [6] TSE, G. T.-TSO, S. K. : Refinement of Conventional PSS Design inMultimachine System by Modal Analysis, IEEE Trans.PWRS 8 No. 2 (1993), 598-605.
    Search in Google Scholar
  7. [7] HSU, Y. Y.-HSU, C. Y. : Design of a Proportional-Integral Power System Stabilizer, IEEE Trans. PWRS 1 No. 2 (1986), 46-53.
    Search in Google Scholar
  8. [8] HSU, Y. Y.-LIOU, K. L. : Design of Self-Tuning PID Power System Stabilizers for Synchronous Generators, IEEE Trans. on Energy Conversion 2 No. 3 (1987), 343-348.10.1109/TEC.1987.4765857
    Search in Google Scholar
  9. [9] HOANG, P.et al : Design and Analysis of an Adaptive Fuzzy Power System Stabilizer, IEEE Trans. on Energy Conversion 11 No. 2 (June 1996), 455-461.10.1109/60.507660
    Search in Google Scholar
  10. [10] HASHEM, M.et al : A Neuro-Fuzzy Power System Stabilizer with Self-organizing Map for Multi-machine Systems, Proceeding of IEEE Power Engineering Society Transmission and Distribution Conference, 2, 1219-1224 (2002).
    Search in Google Scholar
  11. [11] MENNITI, D. etal : Damping Oscillation Improvement by Fuzzy Power System Stabilizers Tuned by Genetic Algorithm, 14-th PSCC, Sevilla (2002).
    Search in Google Scholar
  12. [12] KUNDUR, P. : Power System Stability and Control, Mc Graw-Hill Press, 1994.
    Search in Google Scholar
  13. [13] ANDERSON, P. M.-FOUAD, A. A. : Power System Control and Stability, Iowa State University Press, Ames, IA, 1977.
    Search in Google Scholar
  14. [14] YU, Y. N. : Electric Power System Dynamics, Academic Press, 1983.
    Search in Google Scholar
  15. [15] Fuzzy Logic Toolbox, Available: www.mathworks.com.
    Search in Google Scholar
DOI: https://doi.org/10.2478/jee-2013-0055 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Journal RSS Feed
Language: English
Page range: 366 - 370
Published on: Nov 23, 2013
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
ANFIS,
CPSS,
damping enhancement,
low frequency oscillations,
multi-machine power system,
timedomain simulation
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2013 Duraiswamy Murali, Marimuthu Rajaram, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

Previous articleVolume 64 (2013): Issue 6 (November 2013)Next article