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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Elgerd, O.I.: Electric energy systems theory. An introduction. Tata McGraw-Hill, New Delhi (1983)
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)
Ibraheem, P., Kothari, D.P.: Recent philosophies of automatic generation control strategies in power systems. IEEE Trans. Power Syst. 20(1), 346–357 (2005)
Kundur, P.: Power System Stability and control, 8th reprint. TMH, New Delhi (2009)
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)
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)
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)
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
Rashedi, E., Nezamabadi-pour, H., SaryazdiJ, S.: GSA: A Gravitational Search Algorithm. Information Sciences 179, 2232–2248 (2009)
Rashedi, E., Nezamabadi-pour, H., SaryazdiJ, S.: Filter modeling using gravitational search algorithm. Engineering Applications of Artificial Intelligence 24, 117–122 (2011)
Chaoshun, L., Jianzhong, Z.: Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm. Energy Conversion and Management 52, 374–381 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)