Skip to main content

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

Abstract

This paper investigates the sensitivity analysis of load-frequency control for multi area power system based Proportional Integral Derivative controller with derivative Filter (PIDF) by Gravitational Search algorithm (GSA). At first, a two area non reheat thermal system without physical constraints is considered. A modified objective function which includes ITAE, damping ratio of dominant eigenvalues, settling times of frequency and peak overshoots with appropriate weight coefficients is proposed. Further, the proposed objective function is extended to a more realistic power system model by considering the physical constraints such as reheat turbine, Generation Rate Constraint (GRC) and Governor Dead Band nonlinearity. Finally the robustness of the system is verified, with operating load condition and time constants of speed governor, turbine, tie-line power are changed from their nominal values in the range of +50% to -50% in steps of 25%. It is observed that the proposed controllers are robust and perform satisfactorily for a wide range of the system parameters and operating load conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Elgerd, O.I.: Electric energy systems theory. An introduction. Tata McGraw-Hill, New Delhi (1983)

    Google Scholar 

  2. Willems, J.L.: Sensitivity Analysis of the Optimum Performance of Conventional Load-Frequency Control. IEEE Transactions on Power Apparatus and Systems PAS-93, 51287–51291 (1974)

    Article  Google Scholar 

  3. Ibraheem, P., Kothari, D.P.: Recent philosophies of automatic generation control strategies in power systems. IEEE Trans. Power Syst. 20(1), 346–357 (2005)

    Article  Google Scholar 

  4. Kundur, P.: Power System Stability and control, 8th reprint. TMH, New Delhi (2009)

    Google Scholar 

  5. Shoults, R.R., Jativa Ibarra, J.A.: Multi area adaptive LFC developed for a comprehensive AGC simulation. IEEE Trans. Power Syst. 8(2), 541–547 (1993)

    Article  Google Scholar 

  6. Golpîra, H., Bevrani, H., Golpîra, H.: Application of GA optimization for automatic generation control design in an interconnected power system. Energy Conversion and Management 52, 2247–2255 (2011)

    Article  Google Scholar 

  7. Ali, E.S., Abd-Elazim, S.M.: Bacteria foraging optimization algorithm based load frequency controller for interconnected power system. Elect. Power and Energy Syst. 33, 633–638 (2011)

    Article  Google Scholar 

  8. Rout, U.K., Sahu, R.K., Panda, S.: Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system. AinShamsEngJ (2012), http://dx.doi.org/10.1016/j.asej.2012.10.010

  9. Rashedi, E., Nezamabadi-pour, H., SaryazdiJ, S.: GSA: A Gravitational Search Algorithm. Information Sciences 179, 2232–2248 (2009)

    Article  MATH  Google Scholar 

  10. Rashedi, E., Nezamabadi-pour, H., SaryazdiJ, S.: Filter modeling using gravitational search algorithm. Engineering Applications of Artificial Intelligence 24, 117–122 (2011)

    Article  Google Scholar 

  11. Chaoshun, L., Jianzhong, Z.: Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm. Energy Conversion and Management 52, 374–381 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rabindra Kumar Sahu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Sahu, R.K., Rout, U.K., Panda, S. (2014). Sensitivity Analysis of Load-Frequency Control of Power System Using Gravitational Search Algorithm. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02931-3_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02930-6

  • Online ISBN: 978-3-319-02931-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics