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Coordinated Design of TCSC Controller and PSS Employing Particle Swarm Optimization Technique

Authors: Sidhartha Panda, N. P. Padhy


This paper investigates the application of Particle Swarm Optimization (PSO) technique for coordinated design of a Power System Stabilizer (PSS) and a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design problem of PSS and TCSC-based controllers is formulated as a time domain based optimization problem. PSO algorithm is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. To compare the capability of PSS and TCSC-based controller, both are designed independently first and then in a coordinated manner for individual and coordinated application. The proposed controllers are tested on a weakly connected power system. The eigenvalue analysis and non-linear simulation results are presented to show the effectiveness of the coordinated design approach over individual design. The simulation results show that the proposed controllers are effective in damping low frequency oscillations resulting from various small disturbances like change in mechanical power input and reference voltage setting.

Keywords: Power System Stability, Particle Swarm Optimization, PSS, TCSC, Phillips-Heffron model

Digital Object Identifier (DOI):

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[1] P. Kundur, Power System Stability and Control. New York: McGraw- Hill, 1994.
[2] N. G. Hingorani and L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission System. IEEE Press. 2000.
[3] P. Mattavelli, G. C. Verghese and A. M. Stankovitctt, "Phasor dynamics of Thyristor-Controlled series capacitor systems," IEEE Trans. Power Systs., vol-12, pp. 1259-1267, 1997.
[4] B. H Li, Q. H. Wu, D. R. Turner, P. Y. Wang and X.X Zhou, "Modeling of TCSC dynamics for control and analysis of power system stability," Electrical Power & Energy Systs., Vol-22, pp. 43-49, 2000.
[5] L Fan, A. Feliachi and K. Schoder, "Selection and design of A TCSC control signal in damping power system inter-area oscillations for multiple operating conditions." Electrical Power & Energy Systs., vol- 62, pp. 127-137, 2002.
[6] A. D Del Rosso, C. A Canizares and V.M. Dona, "A study of TCSC controller design for power system stability improvement," IEEE Trans. Power Systs., vol-18, pp. 1487-1496, 2003.
[7] J.J. Sanchez-Gasca and J. H Chow, "Power system reduction to simplify the design of damping controllers for inter-area oscillations," IEEE Trans. Power Systs., vol-11, pp. 1342-1349, 1996.
[8] P. Pourbeik and M. J. Gibbard, "Simultaneous coordination of powersystem stabilizers and FACTS device stabilizers in a multimachine power system for enhancing dynamic performance," IEEE Trans. Power Systs., vol-13, pp. 473-479, 1998.
[9] Yao-Nan Yu, Power System Dynamics, Academic press Inc., London, 1983.
[10] M. A. Abido , "Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing" Electrical Power and Energy Systems ,vol-22 , pp 543-554, 2000.
[11] Kennedy, J. and Eberhart, R.C. (1995). Particle swarm optimization. Proc. IEEE Int'l. Conf. on Neural Networks, IV, 1942-1948. Piscataway, NJ: IEEE Service Center. Available:
[12] PSO Tutorial,
[13] K. R. Padiyar, Power System Dynamics: Stability and Control, 2nd edition, BS Pub., Hyderabad, India, 2002.
[14] H.F.Wang and F.J.Swift, "A unified model for the analysis of FACTS devices in damping power system oscillations part I: single-machine infinite-bus power systems," IEEE Trans. Power Delivery, vol. 12, no. 2, pp. 941-946, 1997.
[15] Kennedy, J., Eberhart, R.C., Shi, Y. "Swarm Intelligence". San Francisco: Morgan Kaufmann Publishers, 2001.
[16] Clarc, M., Kennedy, J. "The particle swarm - explosion, stability, and convergence in a multidimensional complex space". IEEE Transactions on Evolutionary Computation. pp. 58-73. 2002.
[17] Gaing, Z.L. "A particle swarm optimization approach for optimum design of PID controller in AVR system". IEEE Trans. Energy Conv. Vol. 9, No. 2, pp. 384-391, June2004.
[18] Birge, B. "Particle Swarm Optimization Toolbox". Available: