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Small Signal Stability Assessment Employing PSO Based TCSC Controller with Comparison to GA Based Design

Authors: D. Mondal, A. Chakrabarti, A. Sengupta

Abstract:

This paper aims to select the optimal location and setting parameters of TCSC (Thyristor Controlled Series Compensator) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations in a multimachine power system. Though Power System Stabilizers (PSSs) are prime choice in this issue, installation of FACTS device has been suggested here in order to achieve appreciable damping of system oscillations. However, performance of any FACTS devices highly depends upon its parameters and suitable location in the power network. In this paper PSO as well as GA based techniques are used separately and compared their performances to investigate this problem. The results of small signal stability analysis have been represented employing eigenvalue as well as time domain response in face of two common power system disturbances e.g., varying load and transmission line outage. It has been revealed that the PSO based TCSC controller is more effective than GA based controller even during critical loading condition.

Keywords: Genetic Algorithm, Particle Swarm Optimization, Small Signal Stability, Thyristor Controlled Series Compensator.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072343

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References:


[1] P. Kundur, Power System Stability and Control. New York: McGraw- Hill, 1994.
[2] E.V. Larsen and D. A. Swann, " Applying power system stabilizer, Part 1: General concept, Part II: Performance objective and tuning concept, Part III: Practical considerations," IEEE Trans on Power Apparatus and Systems, vol. 100, no. 12, pp. 3017-3046, 1981.
[3] P. Kundur, M. Klein, G. J. Rogers and M. S. Zywno, "Application of power system stabilizers for enhancement of overall system stability," IEEE Trans on Power Systems, vol. 4, no. 2, pp. 614-626, 1989.
[4] N.G. Hingorani and L. Gyugyi, Understanding FACTS: Concepts and technology of Flexible AC Transmission System. New York, USA: IEEE Press, 2000.
[5] R. K. Pandey and N. K. Singha, "UPFC control parameter identification for effective power oscillation damping," Int. Journal of Electrical Power and Energy Systems, vol. 31, no. 6, pp. 269-276, 2009.
[6] M. O. Hassan, Z. A. Zakaria and S.J . Cheng, "Impact of TCSC on enhancing power system stability," in Proc. APPEEC 2009, IEEE Power and Energy Conference, pp. 1-6.
[7] A. D. Rosso, C. A. Ca├▒izares and V. M. Do├▒a, "A study of TCSC controller design for power system stability improvement," IEEE Trans on Power Systems, vol. 18, no. 4, pp. 1487-1496, 2003.
[8] H. Besharat and S. A. Taher, "Congestion management by determining optimal location of TCSC in deregulated power systems," Int. Journal of Electrical Power and Energy Systems, vol. 30, no. 10, pp. 563-568, 2008.
[9] El. MM. Metwally, El. AA. Emary, El. FM. Bendary and M. I. Mosaad, "Optimal allocation of FACTS devices in power system using genetic algorithms," in Proc. MEPCON 2008, IEEE conference, pp. 1-4.
[10] C. T. TSE and S. K. TSO, "Refinement of conventional PSS design in multimachine system by modal analysis," IEEE Trans on Power Systems, vol. 8, no. 2, pp. 598-605, 1993.
[11] Y. L. Abdel-Magid and M. A. Abido, "Robust tuning of power system stabilizers in multimachine power systems," IEEE Trans on Power Systems, vol. 15, no. 2, pp. 735-740, 2000.
[12] S. K. Wang, J. P. Chiou and C.W. Liu, "Parameters tuning of power system stabilizers using improved ant direction hybrid differential evolution," International Journal of Electrical Power and Energy Systems, vol 31, no. 1, pp. 34-42, 2009.
[13] H-E. A. Talat, A. Abdennour and A. A. Al-Sulaiman, "Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer," International Journal of Electrical Power and Energy Systems, vol. 32, no. 7, pp. 751-759, 2010.
[14] J. Kennedy and R. Eberhart, "Particle Swarm Optimization," in 1995 Proc. IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948.
[15] S. Panda and N. P. Padhy, "A PSO-based SSSC controller for improvement of transient stability performance," International Journal of Intelligent Systems and Technologies, vol. 2, no. 1, pp. 28-35, 2007.
[16] M. A. Abido, A. T. Al-Awami and Y. L. Abdel-Magid, "Analysis and design of UPFC damping stabilizers for power system stability enhancement," IEEE Inter Symposium on Industrial Electronics, vol. 3, pp. 2040-2045, 2006.
[17] S. Panda, N. P. Padhy and R. N. Patel, "Modelling, simulation and optimal tuning of TCSC controller," International Journal Simulation model, vol. 6, no. 1, pp. 37-48, 2007.
[18] C. R. Fuerte-Esquivel, E. Acha and H. Ambriz-Pe'rez, "A thyristor controlled series compensator model for the power flow solution of practical power networks," IEEE Trans on power systems, vol. 15, no. 1, pp. 58-64, 2000.
[19] P. W. Sauer and M. A. Pai, Power system dynamics and stability, Singapore: Pearson Education Pte Ltd, 1998.
[20] B. Birge, "Particle Swarm Optimization Toolbox," Available at www.mathworks.com/matlabcentral.
[21] D. Goldberg, Genetic algorithms in search, optimization and machine learning, Addison-Wesley, 1989.
[22] S. K. M. Kodsi and C. A. Canizares, Modeling and simulation of IEEE 14 Bus systems with FACTS controllers, Technical Report #2003-3, University of Waterloo, pp. 1-46, 2003. Available at http://www.uwaterloo.ca.