PID Control of Hydraulic Turbine with Excitation and Synchronization Systems

  • Authors

    • Ahmed Ibrahim Jaber Alzubaydy
    • Vadym Dorohobid
    • Mykola Borozdin
    • Ruslan Zakharchenko
    2018-10-13
    https://doi.org/10.14419/ijet.v7i4.8.27205
  • distributed generation, synchronous generator, active power, voltage regulator, speed regulator.

  • Abstract

    Hydroelectric energy is a major source of renewable electricity in the world. The industry is continuously searching for ways to improve the efficiency and reliability with which it produces energy. Here suggested a PID approach to turbine governor by utilizing human experience. The simulation model of Hydro Power Plant was constructed based on mathematical equations that summarize the behavior of the power plant. The simulation model of power plant is useful in stability studies. Simulation models are suitable for use in large scale system stability studies. The PID controller is designed and tested for three phases to ground fault by simulations which are reported in this paper. Results obtained by simulation show the rapidity and robustness of the PID controller. This controller is able to maintain the generated electrical power characteristics in spite of the changing user load.

     The invention and design of stabilized system means the ability of the system working with different load and fault.  Controlling voltage system represent control an active power in electrical power grid by increasing and decreasing the generator voltage. In this paper completed models test that stability and flexibility of the Synchronized generator with over exciter, and under exciter by Governor and Excitation systems.

     

     

     

  • References

    1. [1] Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE® Standard 421.5- 1992, August, 1992. DOI: 10.1109/IEEESTD.2016.7553421.

      [2] Spreng S, Weber H, Hladky M, “Investigation of the Dynamic Behaviour of Hydropower Plants For Restoration scenariosâ€, 14th PSCC, Sevilla, 24-28 June 2002, session 06, paper 5, Page 1.

      [3] Goyal H, Hanmandlu M, Kothari DP, An Artificial Intelligence based Approach for Control of Small Hydro Power Plants, Centre for Energy Studies, Indian Institute of Technology, New Delhi-110016 (India).

      [4] Hydroelectricity 2005, World Encyclopedia 2005, Oxford University Press.

      [5] http://www.mathworks.com/help/toolbox/physmod/powersys/ref/hydraulicturbineandgovernor.html

      [6] Chang J, Xiao Z, Qingwnag S, “Neural network predict control for the hydro turbine generator setâ€, The second international conference on machine learning and cybernetics, 2003, pp:2-5.

      [7] Mohamed HA, “Wavelet neural network load frequency controllerâ€, Energy conversion and management Vol.46, (2005), pp:1613-1630.

      [8] Kishor SP, Singh AS, Sharma PR, “Fuzzy Models for the study of Hydro Power Plant Dynamicsâ€, international symposium on Evolving fuzzy Systems, September 2006. DOI: 10.1109/ISEFS.2006.251131.

      [9] Shu-qing W, Su-yi L, Zi-peng Z, “Research on the Improved Learning Algorithm of FNNC for the Control of Hydraulic Turbine Generating unitsâ€, Proceedings of the Sixth International conference on machine Learning and cybernetics, Hong Kong, 19-22 August 2007, pp:617-622.

      DOI: 10.1109/ICMLC.2007.4370219.

      [10] Khodabakhshian A, Edrisi M, “A New robust PID load frequency controllerâ€, Control Engineering Practice, Vol.16, (2008), pp:1069-1080.

      DOI: 10.9790/1676-10525868. Djukanovic M, Novicevic M, Dobrijevic Dj, Babic B, Sobajic J, Yoh-Han P, “Neural Net Based Coordinated Stabilizing Control for the Exiciter and governor loops of low head hydropower plantsâ€, IEEE Transaction on energy Conservation, Vol.10, No.4, December 1995, p.392. Salhil L, Doubabi S, “Fuzzy controller for frequency regulation and water energy save on microhydroelectrical power plantsâ€, International Renewable Energy Congress, Sousse Tunisia, November 2009.

      [11] Hassan LH, Mohamed HAF, Moghavvemi V, Yang SS, “Automatic Generation control of Power System with fuzzy Gain Scheduling Integral and derivative Controllerâ€, International Journal of Power, Energy and Artificial Intelligence, Vol.1, No.1, (ISSN: 1985-6431), August 2008, pp:29-33.

      [12] Passino KM, Yurkovich S, Fuzzy Control, Department of Electrical Engineering, The Ohio State University.

  • Downloads

  • How to Cite

    Ibrahim Jaber Alzubaydy, A., Dorohobid, V., Borozdin, M., & Zakharchenko, R. (2018). PID Control of Hydraulic Turbine with Excitation and Synchronization Systems. International Journal of Engineering & Technology, 7(4.8), 1-6. https://doi.org/10.14419/ijet.v7i4.8.27205

    Received date: 2019-02-11

    Accepted date: 2019-02-11

    Published date: 2018-10-13