Long Term Voltage Stability Enhancement by Model Predictive Control

Abstract:

Power system load shedding has been used as an emergency control method to prevent possible power system instability problems. In this paper, a model predictive control based load shedding scheme is proposed to enhance long term voltage stability of a power system. The main advantage of this method is the capability to handle control actions with proper time instant. A new cost function is defined for the model predictive control scheme. The proposed scheme is tested on the New England 39-bus system to validate its efficiency and effectiveness in preventing system long term voltage stability problems.

• Periodical: Applied Mechanics and Materials (Volumes 157-158)
• Pages: 1553-1557
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.157-158.1553
• Online since: February 2012
• Authors: Pei Jia Yu, Ting Ting Jiang, Jing Zhang
• Keywords: Load Shedding, Model Predictive Control (MPC), Power System Control, Power System Stability

References

[1] Y. V. Makarov, Z. Y. Dong, D. J. Hill, On Convexity of Power Flow Feasibility Boundary, IEEE Trans. on Power Systems, Vol. 23, Issue 2,  2008, Page(s): 811-813.

DOI: 10.1109/tpwrs.2008.919307

[2] Jing Zhang, J. Y. Wen, S. J. Cheng, et al, A Novel SVC Allocation Method for Power System Voltage Stability Enhancement by Normal Forms of Diffeomorphism, IEEE Trans. on Power Systems, Vol. 22, Issue 4, Nov. 2007, Page(s): 1819-1825.

DOI: 10.1109/tpwrs.2007.907538

[3] Z. Y. Dong, D. J. Hill and Y. Guo, A Power System Control Scheme Based on Security Visualisation in Parameter Space, International Journal of Electrical Power and Energy Systems, Vol. 27, Issue 7, September 2005, Page(s): 488-495.

DOI: 10.1016/j.ijepes.2005.05.002

[4] U. S. -Canada Power System Outage Task Force, Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations, April (2004).

[5] C. Taylor, Concepts of undervoltage load shedding for voltage stability, IEEE Trans. on Power Delivery, Vol. 7, Issue 2, April 1992, Page(s): 480-488.

DOI: 10.1109/61.127040

[6] C. W. Taylor, The future in on-line security assessment and wide-area stability control, Proc. IEEE Power Eng. Society Winter Meeting, Vol. 1, 2000, Page(s): 78-83.

DOI: 10.1109/pesw.2000.849931

[7] B. Marinescu and H. Bourlès, Robust predictive control for the flexible coordinated secondary voltage control of large-scale power system, IEEE Trans. Power System, Vol. 14, Issue. 4, Nov. 1999, Page(s): 1262–1268.

DOI: 10.1109/59.801882

[8] M. Larsson, D. J. Hill, and G. Olsson, Emergency voltage control using search and predictive control, International Journal of Electrical Power and Energy Systems, Vol. 24, 2002, Page(s): 121–130.

DOI: 10.1016/s0142-0615(01)00017-5

[9] T. V. Cutsem, Y. Jacquemart, J. N. Marquet, and P. Pruvot, A comprehensive analysis of mid-term voltage stability, IEEE Trans. Power System, Vol. 10, Issue 3, Aug. 1995, Page(s): 1173-1182.

DOI: 10.1109/59.466539

[10] T. Van Cutsem, M. -E. Grenier, D. Lefebvre, combining detailed and quasi steady-state time simulations for large-disturbance analysis, International Journal of Electrical Power and Energy Systems, Vol. 28, Issue 9, Nov. 2006, Page(s): 634-642.

DOI: 10.1016/j.ijepes.2006.03.005

[11] D. J. Hill, Nonlinear dynamic load models with recovery for voltage stability studies, IEEE Trans. on Power Systems, Vol. 8, Issue 1, Feb. 1993, Page(s): 166-176.

DOI: 10.1109/59.221270

[12] E. Camponogara, D. Jia, B. H. Krogh, et al, Distributed model predictive control, IEEE Control Systems Magazine, Vol. 22, Issue 1, Feb. 2002, Page(s): 44-52.

[13] R.C. Hardiman, M. Kumbale, and Y.V. Makarov, An Advanced Tool for Analyzing Multiple Cascading Failures", Proc. 8, International Conference on Probabilistic Methods Applied to Power Systems, Iowa State University, Ames, Iowa, September 12-16, 2004, pp.629-634.

[14] T. Bäck, Evolutionary Algorithms in Theory and Practice, London, U. K.: Oxford Univ. Press, (1996).

[15] J. Y. Wen, Q. H. Wu, L. Jiang, and S. J. Cheng, Pseudo-gradient based evolutionary programming, Electronics Letters, Vol. 39, Issue 7, Apr. 2003, Page(s): 631-632.

DOI: 10.1049/el:20030404