Mitigation of SSR and LFO with a TCSC based-conventional damping controller optimized by the PSO algorithm and a fuzzy logic controller

The subsynchronous resonance (SSR) phenomenon may occur when a steam turbine-generator is connected to a long transmission line with series compensation. Flexible AC transmission systems (FACTS) devices are widely applied to damp the SSR and low-frequency oscillation (LFO). A thyristor-controlled series capacitor (TCSC) is a commercially available FACTS device that was developed for damping the SSR and LFO. In this paper, 2 control methods for damping the SSR and LFO are added to the TCSC main controller in order to demonstrate that the SSR damping capability of the TCSC can be enhanced by proper modulation of the firing angle. The control methods are presented, namely the conventional damping controller (CDC) and fuzzy logic damping controller (FLDC). The particle swarm optimization (PSO) algorithm is used for searching optimized parameters of the CDC. Fast Fourier transform is carried out in order to evaluate the effect of the TCSC-based FLDC in damping the SSR and LFO. The study system was adopted from the IEEE second benchmark model by altering a part of the fixed series capacitor to the TCSC. The MATLAB/Simulink was used to verify the effectiveness of each control method. The simulation results show that the FLDC has an excellent ability in damping the SSR and LFO in the power system toward the CDC-optimized PSO algorithm.

Mitigation of SSR and LFO with a TCSC based-conventional damping controller optimized by the PSO algorithm and a fuzzy logic controller

The subsynchronous resonance (SSR) phenomenon may occur when a steam turbine-generator is connected to a long transmission line with series compensation. Flexible AC transmission systems (FACTS) devices are widely applied to damp the SSR and low-frequency oscillation (LFO). A thyristor-controlled series capacitor (TCSC) is a commercially available FACTS device that was developed for damping the SSR and LFO. In this paper, 2 control methods for damping the SSR and LFO are added to the TCSC main controller in order to demonstrate that the SSR damping capability of the TCSC can be enhanced by proper modulation of the firing angle. The control methods are presented, namely the conventional damping controller (CDC) and fuzzy logic damping controller (FLDC). The particle swarm optimization (PSO) algorithm is used for searching optimized parameters of the CDC. Fast Fourier transform is carried out in order to evaluate the effect of the TCSC-based FLDC in damping the SSR and LFO. The study system was adopted from the IEEE second benchmark model by altering a part of the fixed series capacitor to the TCSC. The MATLAB/Simulink was used to verify the effectiveness of each control method. The simulation results show that the FLDC has an excellent ability in damping the SSR and LFO in the power system toward the CDC-optimized PSO algorithm.

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  • P. Kundur, Power Systems Stability and Control, New York, McGraw-Hill, 1994.
  • IEEE Committee Report, “Reader’s guide to sub-synchronous resonance”, IEEE Transactions on Power Systems, Vol. 7, pp. 150–157, 1992.
  • IEEE Working Committee Report, “Third supplement to a bibliography for the study of sub-synchronous resonance between rotating machines and power systems”, IEEE Transactions on Power Systems, Vol. 6, pp. 830–834, 1991. R.K. Varma, S. Auddy, “Mitigation of sub synchronous oscillations in a series compensated wind farm using static var compensator”, IEEE Power Engineering Society General Meeting Conference, pp. 1–7, 2006.
  • M. Bongiorno, J. Svensson, L. Angquist, “On control of static synchronous series compensator for SSR mitigation”, IEEE Transactions on Power Electronics, Vol. 23, 2008.
  • J. Guo, M.L. Crow, J. Sarangapani, “An improved UPFC control for oscillation damping”, IEEE Transactions on Power Systems, Vol. 24, pp. 288–296, 2009.
  • F.D. De Jesus, E.H. Watanabe, L.F.W. De Souza, J.E.R. Alves, “SSR and power oscillation damping using gatecontrolled series capacitors (GCSC)”, IEEE Transactions on Power Delivery, Vol. 22, pp. 1806–1812, 2007.
  • D. Rai, G. Ramakrishna, S.O. Faried, A. Edris, “Enhancement of power system dynamics using a phase imbalanced series compensation scheme”, IEEE Transactions on Power Systems, Vol. 25, pp. 966–974, 2010.
  • A.D.D. Rosso, C.A. Canizares, V.M. Dona, “A study of TCSC controller design for power system stability improvement”, IEEE Transactions on Power Systems, Vol. 18, pp. 1487–1496, 2003.
  • K. Li, J. Zhao, C. Zhang, W. Lee, “Dynamic simulator for thyristor-controlled series capacitor”, IEEE Transactions on Industry Applications, Vol. 46, pp. 1096–1102, 2010.
  • D. Jovcic, G.N. Pillai, “Analytical modeling of TCSC dynamics”, IEEE Transactions on Power Delivery, Vol. 20, pp. 1097–1104, 2005.
  • K.M. Son, J.K. Park, “On the robust LQG control of TCSC for damping power system oscillations”, IEEE Transactions on Power Systems, Vol. 15, pp. 1306–1312, 2000.
  • L.A.S. Pilotto, A. Bianco, W.F. Long, A. Edris, “Impact of TCSC control methodologies on subsynchronous oscillations”, IEEE Transactions on Power Delivery, Vol. 18, pp. 243–252, 2003.
  • M. Noroozian, M. Ghandhari, G. Andersson, J. Gronquist, I. Hiskens, “A robust control strategy for shunt and series reactive compensators to damp electromechanical oscillations”, IEEE Transactions on Power Delivery, Vol. 16, pp. 812–817, 2001.
  • H.A. Mohammadpour, S.M.H. Mirhoseini, A. Shoulaie, “Comparative study of proportional and TS fuzzy controlled GCSC for SSR mitigation”, IEEE Second International Conference on Power Engineering, Energy and Electrical Drives, pp. 564–569, 2009.
  • A. Ajami, N. Taheri, M. Younesi, “A novel hybrid fuzzy/LQR damping oscillations controller using STATCOM”, Second International Conference on Computer and Electrical Engineering, Vol. 1, pp. 348–352, 2009.
  • K.R. Padiyar, Power System Dynamics: Stability and Control. Bangalore, Interline, 1996.
  • E. Katz, “Sub-synchronous resonance”, Paper presented at a panel discussion on Dynamic Stability in the Western Interconnected Power Systems, IEEE PES Summer Meeting, 1974.
  • IEEE SSR Working Group, “Second benchmark model for computer simulation of Sub synchronous resonance”, IEEE Transactions on Power Apparatus and Systems, Vol. 104, pp. 1057–1064, 1985.
  • N.G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission System, New Jersey, Wiley-IEEE Press, 2000.
  • R.M. Mathur, R.K. Varma, Thyristor-Based FACTS Controllers for Electrical Transmission Systems, New Jersey, Wiley-IEEE Press, 2002.
  • H. SL, S. Yang, G. Ni, E.W.C. Lo, H.C. Wong. “A particle swarm optimization based method for multi objective design optimizations”, IEEE Transactions on Magnets, 2005.
  • R. Poli, J. Kennedy, T. Blackwell, “Particle swarm optimization: an overview”, Swarm Intelligence, Vol. 1, 33–57, 200 A. Ratnaweera, S.K. Halgamuge, H.S. Watson, “Self organizing hierarchical particle swarm optimizer with time varying acceleration coefficients”, IEEE Transactions on Evolutionary Computation, Vol. 8, pp. 240–55, 2004.
  • C.L. Phillips, J.M. Parr, “Robust design of a digital PID dedicator controller”, IEEE Transactions on Industrial Electronics, Vol. 31, pp. 328–332, 1984.
  • H. He, “Fuzzy modeling and fuzzy control [book review]”, Computational Intelligence Magazine, IEEE, Vol. 3, pp. 8–10, 2008.
  • H.J. Zimermann, Fuzzy Set Theory and its Applications, 3rd Edition, The Netherlands, Kluwer Academic Publishers, 1996.
  • R. Langari, Fuzzy Control Synthesis and Analysis, New York, Wiley, 1995.