Advertisement

Feed-Forward Characteristic

  • German Ardul Munoz-Hernandez
  • Sa’ad Petrous Mansoor
  • Dewi Ieuan Jones
Chapter
Part of the Advances in Industrial Control book series (AIC)

Abstract

This chapter describes the use of predictive feed-forward control as a means of improving the performance of a hydroelectric plant in achieving its target for delivered power, while operating in grid (power system) frequency control mode. Due to the gravitational limit on the acceleration of water in the supply tunnel, a hydraulic turbine is always subject to some delay between opening or closing its guide vane and the consequent change in power. The effect of this delay on a unit working in frequency-control mode can be alleviated by predicting 2–3 s ahead what power will be required and using this information as a feed-forward signal to supplement a PI feedback controller. This chapter outlines the theory for frequency prediction and disturbance feed-forward control and shows how they can be applied to the problem of tracking a power target.

Keywords

Transfer Function Guide Vane Power Network Hydroelectric Plant Hydroelectric Power Station 
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.

References

  1. 18.
    Jones, D.I.: Dynamic parameters for the national grid. Proc. IEE Gener. Transm. Distrib. 152(1), 53–60 (2005)CrossRefGoogle Scholar
  2. 19.
    Kundur, P.: Power System Stability and Control New York. Mc Graw Hill, New York (1994)Google Scholar
  3. 94.
    MathWorks: Using Matlab, Version 6. MathWorks, Natick (2000)Google Scholar
  4. 96.
    Franklin, G.F., Powell, J.D.: Feedback Control of Dynamic Systems, 3rd edn. Prentice Hall, Upper Saddle River (2009)Google Scholar
  5. 97.
    Jones, D.I., Mansoor, S.P., Aris, F.C., Jones, G.R., Bradley, D.A., King, D.J.: A standard method for specifying the response of hydroelectric plant in frequency-control mode. Electr. Power Syst. Res. 68, 19–32 (2004)CrossRefGoogle Scholar
  6. 126.
    Goodwin, G.C., Graebe, S.F., Salgado, M.E.: Control System Design. Prentice Hall, Upper Saddle River (2001)Google Scholar
  7. 127.
    Jones, D.I., Mansoor, S.P.: Predictive feedforward control for a hydroelectric plant. IEEE Trans. Control Syst. Technol. 12, 956–965 (2004)CrossRefGoogle Scholar
  8. 128.
    Anderson, P.M., Mirheydar, M.: A low-order frequency response model. IEEE Trans. Power Syst. 5(3), 720–729 (1990)CrossRefGoogle Scholar
  9. 129.
    Ljung, L.: System Identification: Theory for the User, 2nd edn. Prentice Hall, Upper Saddle River (1999)Google Scholar
  10. 130.
    Ljung, L.: Systems Identification Toolbox v5. User’s Guide. MathWorks, Natick (2000)Google Scholar
  11. 131.
    Jones, D.I.: Estimation of power system parameters. IEEE Trans. Power Syst. 19(4), 1980–1989 (2004)ADSCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • German Ardul Munoz-Hernandez
    • 1
  • Sa’ad Petrous Mansoor
    • 2
  • Dewi Ieuan Jones
    • 3
  1. 1.Instituto Tecnologico de PueblaPueblaMexico
  2. 2.School of Computer ScienceBangor UniversityBangorUK
  3. 3.GWEFR Cyf Pant Hywel PenisarwaunCaernarfonUK

Personalised recommendations