Design of Fuzzy Logic Power System Stabilizer in Multi-machine Power System

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 247)

Abstract

The Objective of the Paper is to design and implement Fuzzy logic power system stabilizer in multi-machine power system for reducing Integral Square Time Square Error (ISTSE). In this proposed fuzzy expert system, the generator speed deviation and acceleration are chosen as input signals to fuzzy logic power system stabilizer and the desired output is Integral Square Time Square Error. Finally the comparison of closed loop response of PID (Proportional Integral Derivative) with fuzzy logic controller is highlighted. The simulation results shows the superiority and robustness of fuzzy logic power system stabilizer as compared to conventionally tuned controllers for various Output disturbances.

Keywords

Fuzzy Logic Power System Stabilizer (FLPSS) Integral Square Time Square Error (ISTSE) PID (Proportional Integral Derivative) 

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References

  1. 1.
    Larsen, E.V., Swann, D.A.: Applying power system stabilizers Part-I: general concepts. IEEE Transactions on Power Apparatus and Systems PAS-100(6), 3017–3024 (1981)Google Scholar
  2. 2.
    Larsen, E.V., Swann, D.A.: Applying power system stabilizers Part-II: performance objectives and tuning concepts. IEEE Transactions on Power Apparatus and Systems PAS-100(6), 3025–3033 (1981)Google Scholar
  3. 3.
    Larsen, E.V., Swann, D.A.: Applying power system stabilizers Part- III: Practical considerations. IEEE Transactions on Power Apparatus and Systems PAS-100(6), 3034–3046 (1981)Google Scholar
  4. 4.
    Zhang, Y., Chen, G.P., Malik, O.P., Hope, G.S.: An artificial neural based adaptive power system stabilizer. IEEE Transactions on Energy Conversion 8(1), 71–77 (1993)CrossRefGoogle Scholar
  5. 5.
    Hoang, P., Tomsovic, K.: Design and analysis of an adaptive fuzzy power system stabilizer. IEEE Transactions on Energy Conversion 11(2), 97–103 (1996)CrossRefGoogle Scholar
  6. 6.
    Cheng, S., Malik, O.P., Hope, G.S.: Design of self-tuning PID stabilizer for a multimachine power system. Transmission and Distribution IEE Proceedings - Generation, Part C 133(4), 176–185 (1986)CrossRefGoogle Scholar
  7. 7.
    Abido, M.A., Abdel-Magid, Y.L.: Optimal design of power system stabilizers using evolutionaryprogramming. IEEE Transactions on Energy Conversion 17(4) ( December 2002)Google Scholar
  8. 8.
    Kundur, P.: Power System Stability and Control. McGraw Hill Inc. (1993)Google Scholar
  9. 9.
    Dubey, M., Gupta, P.: Design of Genetic-Algorithm based robust power system stabilizer. International Journal of Computational Intelligence 2(1), 48–52 (2005)Google Scholar
  10. 10.
    Bhattacharya, K., Kothari, M.L., Nanda, J., Aldeen, M., Kalam, A.: Tuning of power system stabilizers in multi-machine system using ISE technique. Electric Power Systems Research 19(7), 449–458 (1997)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of EEEPondicherry Engg CollegePuducherryIndia

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