Innovative Education for Fuzzy Logic Stabilization of Electric Power Systems in a Matlab/Simulink Environment

  • T. Hiyama
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 36)


Matlab/Simulink-based transient stability simulation programs for multi-machine power systems are introduced. The program can be used for teaching the concept of transient stability of electric power systems, the fundamental functions of generator controllers such as excitation systems and speed governing systems, and also for research works at laboratories especially to develop generator controllers using advanced technologies such as fuzzy logic, neural network, and so on. Simulink is utilized for the modeling of the entire power system including generating units with the excitation control system and also the speed governing control system, and power transmission networks. The real time operation of the developed transient stability simulation programs requires RTW (Real Time Workshop) environment together with a DSP (Digital Signal Processor) board. For the real time operation, the AD and the DA conversion interfaces on the DSP board have very important roles as the interfaces between the developed real time simulator and personal computer based external generator controllers. The control performance of the generator controllers using advanced technologies such as fuzzy logic can easily be tested on the real time simulator at laboratories.


Fuzzy Logic Fuzzy Logic Controller Electric Power System Fuzzy Logic Control Transient Stability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Hiyama, T. and Sameshima, T. (1991), “Fuzzy logic control scheme for on-line stabilization of multi-machine power system,” Fuzzy Sets and Systems, Vol. 39, pp. 181–194.CrossRefGoogle Scholar
  2. [2]
    Hiyama, T., Oniki, S. and Nagashima, H. (1996), “Evaluation of advanced fuzzy logic PSS on analog network simulator and actual installation on hydro generators,” IEEE Trans. on Energy Conversion, Vol. 11, No. 1, pp. 125–131, March.Google Scholar
  3. [3]
    Hiyama, T., Miyazaki, K. and Satoh, H. (1996), “A fuzzy logic excitation system for stability enhancement of power systems with multi-mode oscillations,” IEEE Trans. on Energy Conversion, Vol. 11, No. 2, pp. 449–454, June.Google Scholar
  4. [4]
    Hiyama, T. and Ueki, Y. (1996), “Fuzzy logic excitation and speed governing control system for stability enhancement of power systems,” Australian Journal of Intelligent Information Processing Systems, Vol. 3, No. 1, pp. 32–38.Google Scholar
  5. [5]
    Hiyama, T., Ueki, Y. and Andou, H. (1997), “Integrated Fuzzy Logic Generator Controller for Stability Improvement,” IEEE Trans. on Energy Conversion, Vol. 12, No. 4, pp. 400–406, Dec.Google Scholar
  6. [6]
    Hiyama, T., Miyake, T., Kita, T., and Andou, H. (1998), “Evaluation of Integrated Fuzzy Logic Generator Controller on Analog Simulator,” IEEJ Trans., Vol. 118-B, No. 1, pp. 37–43, Jan.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • T. Hiyama
    • 1
  1. 1.Department of Electrical and Computer EngineeringKumamoto UniversityKumamotoJapan

Personalised recommendations