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Challenges in Model Predictive Control Application for Transient Stability Improvement Using TCSC

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Performance of a system is always dominated by constraints rather than dynamics. Conventional controllers determine off-line, a feedback policy that provides optimal control action based on minimization of one or more cost functions with or without constraints using linear or nonlinear model of the system. Increased system complexity and demanding performance requirements have rendered classical control laws inadequate in spite of their simplicity as in case of PID loop or robustness in case of H2 or H∞ control designs. The only generic control that can meet these challenges is Model Predictive Control (MPC). The most challenging MPC application would be maintaining stability after large disturbances in highly nonlinear, complex and hybrid system such as power system. The practical difficulties are due to large system having strong interactions in various parameters with hard constraints. The paper discusses various issues in tuning and maintaining constraints on states and control variables for a Single Machine Infinite Bus (SMIB) system using Thyristor Controlled Series Compensator (TCSC) as a controller.
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Constrained Model Predictive Control; DAE Model; SMIB; TCSC; Transient Stability

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J. Richalet, ARault, JL Testud, and J. Papo. Model predictive heuristic control: Application to industrial processes. Automation, 14(5):413-428. 1978.

C.R.Cutler and BL Ramaker. Dynamic matric control – a computer control algorithm. In proceedings of the joint automatic control conference, volume 1, pages Wp5-B. American Automatic Control Council Piscataway. NJ, 1980.

Carlos E. Garicia and A.M.Morshedi. Quadratic programming solution of dynamic matrix control (QDMC). Chemical Engineering Communications. 46(1-3); 73-87, 1986.

M. Larsson, David J Hill, and Gustaf Olsson.Emergency voltage control using search and predictive control. International journal of electrical power & energy systems, 24(2):121-130, 2002.

Mania Pavella, Damien Ernst, and Daniel Ruiz-Vega. Transient stability of power systems unified approach to assessment and control. Kluwer Academic Publishers, 2000.

YannikPhulpin, JagabondhuHazra, and Damien Ernst. Model predictive control of HDVC power flow to improve transient stability in power systems. In Smart Grid Communications (Smart Grid Comm), 2011 IEE International Conference on, pages 593-598, IEE, 2011.

ChVenkatesh, T Deepak, K Rajesh, K Krishna, and AK Kamath. Flatness based TCSC controller for transient stability enhancement of power systems. In Modern Electric Power systems (MEPS), 2010 Proceedings of the International Symposium pages 1-6, IEEE, 2010.

Mark Zima and Goran Anderson. Model predictive control employing trajectory sensitivities for power systems applications. In Decision and Control. 2005 and 2005 European Control conference. CDC-ECC’05, 44th IEEE Conference on, pages 4452-4456, IEEE, 2005

Giovanni Becuti, Tobias Geyer, and Manfred Morari. A Hysbrid system approach to power systems voltage control. In In Decision and Control. 2005 and 2005 European Control conference. CDC-ECC’05, 44th IEEE Conference on, pages 6774-6779, IEEE, 2005

DheemanChatterji and ArindamGhosh. Application of trajectory sensitivity for the evaluation of the effect of TSCS placement on transient stability. International Journal of Emerging Electric Power Systems, 8(1), 2007.

SushamaWagh, AK Kamath and NM Singh. “Non-linear model predictive control for improving transient stability of power system using TCSC controller”. In 7thAsian Control Conference, 2009, pages 1627-1632. IEEE 2009.

V. Rajkumar and RR Mohler. Non-linear predictive control for the damping of multi machine power system transients using facts devices. In Decision and Control, 1994, Proceedings of the 33rd IEEE Conference on Volume 4, pages 4074-4079. IEEE, 1994.

Jan M Maciejowaskiand MihalHuzmezan.Predictive Control, Springs, 1997.

Sepahvand, H., Joorabian, M., Saniei, M., Optimal Location and Setting of TCSC and TCPST to Reduce Transmission Congestion in Deregulated Electricity Market, (2013) International Journal on Energy Conversion (IRECON), 1 (1), pp. 47-56.


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