Optimal Supplementary Damping Controller Design for TCSC Employing RCGA

Authors: S. Panda, S. C. Swain, A. K. Baliarsingh, C. Ardil

Abstract:

Optimal supplementary damping controller design for Thyristor Controlled Series Compensator (TCSC) is presented in this paper. For the proposed controller design, a multi-objective fitness function consisting of both damping factors and real part of system electromachanical eigenvalue is used and Real- Coded Genetic Algorithm (RCGA) is employed for the optimal supplementary controller parameters. The performance of the designed supplementary TCSC-based damping controller is tested on a weakly connected power system with different disturbances and loading conditions with parameter variations. Simulation results are presented and compared with a conventional power system stabilizer and also with the TCSC-based supplementary controller when the controller parameters are not optimized to show the effectiveness and robustness of the proposed approach over a wide range of loading conditions and disturbances.

Keywords: Power System Oscillations, Real-Coded Genetic Algorithm (RCGA), Thyristor Controlled Series Compensator (TCSC), Damping Controller, Power System Stabilizer.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084500

References:

[1] P. Kundur, Power System Stability and Control. New York: McGraw-Hill, 1994.
[2] N. G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, New York, 2000.
[3] Y. H Song, T. A. Johns, Flexible AC Transmission Systems (FACTS), IEE, London, 2000.
[4] R. M Mathur, R. K. Verma, Thyristor-based FACTS Controllers for Electrical Transmission Systems, IEEE Press, Piscataway, 2002.
[5] 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.
[6] 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.
[7] 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.
[8] S. Panda, N. P. Padhy, R. N. Patel "Modeling, simulation and optimal tuning of TCSC controller", International Journal of Simulation Modelling. Vol. 6, No. 1, pp. 7-48, 2007.
[9] S. Panda, and N. P. Padhy "Comparison of Particle Swarm Optimization and Genetic Algorithm for FACTS-based Controller Design", Applied Soft Computing. Vol. 8, pp. 1418- 1427, 2008.
[10] M. Nambu and Y. Ohsawa, "Development of an advanced power system stabilizer using a strict linearization approach", IEEE Transactions on Power Systems, Vol. 11, pp. 813-818, 1996.
[11] E. V. Larsen and D. A. Swann "Applying Power System Stabilizers Part II: Performance Objectives and Tuning Concepts-, IEEE Transactions on Power Apparatus and Systems, Vol. 100, pp. 3025-3033, 1981.
[12] M. E. About-Ela, A. A. Sallam, J. D. McCalley and A. A. Fouad, "Damping controller design for power system oscillations using global signals-, IEEE Transactions on Power Systems, Vol. 11, pp. 767-773, 1996.
[13] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, 1989.
[14] Y.N. Yu, Power System Dynamics, Academic press, Inc., London (1983).