Research on the Online Intelligent Decision-Making System of Power-Grid Security Based on Power Grid Crisis Management

Abstract:

Power grid crisis happening at home and abroad warns the urgency of power grid crisis management. It is necessary to research on online intelligent decision-making system of power-grid security based on data mining. This paper studies the status of foreign online intelligent decision-making system of power-grid security and the concrete application of foreign online intelligent decision-making system of power-grid security. Based on advanced data mining technology, by online updating safety limit-rules and automatically digging out the running rules, the safe limit values are in line with actual condition of power-grid, dispatchers can adjust the grid by running this limit and can obtain a larger cross-section delivery power-flow. In such a way, it not only can ease the power shortage situation of the system, but also improve poor power transmission ability, and produce economic benefits.

• Periodical: Advanced Materials Research (Volumes 889-890)
• Pages: 1555-1558
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.889-890.1555
• Online since: February 2014
• Authors: Shi Hua Li*
• Keywords: Online Intelligent Decision-Making System, Power Grid Crisis, Power-Grid Security, Research Progress

References

[1] Er-jian Yu, Guang-yi Liu. Energy management system [M]. Beijing: Beijing science Press, (1998).

[2] Liu C C, Jung J, Heydt G T. The strategic power Infrastructure defense (SPID) System; a Conceptual Design[J]. IEEE Control System Magazine, 2000, 20(4): 40-52.

DOI: 10.1109/37.856178

[3] Dy-Liacco T. E., Enhancing power system security control, IEEE Computer Applications in Power, Jul 1997, 10(3): 38-41.

DOI: 10.1109/67.595291

[4] Louis Wehenkel. Machine-Learning approaches to power-system security assessment. IEEE EXPERT, Vol. 12, No. 5, September-October 1997, 60-72.

DOI: 10.1109/64.621229

[5] Huang, J.A., Vanier, G., Valette, A. Application of data mining techniques for automat settings in emergency control at Hydro-Quebec, IEEE power engineering society general meeting, 2003, Volume: 4 , 13-17 July 2003 Pp: (2044).

DOI: 10.1109/pes.2003.1270927

[6] Louis Wehenkel. Automatic learning and data mining applied to security assessment, 1999 PICA, Panel Session.

[7] Overbye T J. New techniques for power system visualization under deregulation[C]. Proceeding 2000 IEEE Power Engineering Society Winter Meeting Piscataway NJ, USA: IEEE, 2000: 28-33.

DOI: 10.1109/pesw.2000.849921

[8] Kobayahi I N, Okamototo H, Tada H. New methods for visualization of dynamic behavior of power system[C]. Proceedings of the 20th International Conference on Power Industry Computer Applications New York. USA: IEEE, 1991: 206-212.

DOI: 10.1109/pica.1997.599398

[9] Overbye T J, Klump R P, Weber J D. A virtual environment for interactive visualization of power system economic and security information[C]. Power Engineering Society Summer Meeting Edmonton, Canada IEEE, 1999: 846-851.

DOI: 10.1109/pess.1999.787428

[10] Hauser A J, Verstege J F. Seeing global power system states with compact visualization techniques [C]. Internationa1 Conference on Electric Power Engineering Budapest, Hungary: IEEE 1999: 118-122.

DOI: 10.1109/ptc.1999.826549

[11] Prabha Kundur, Power system stability assessment and control requirements in the new industry environment: Challenges and Solutions[C]. International Conference on Power System Technology, Kunming, China, Oct13-17, (2002).

[12] Cholley P, Lebrevelec C, Vitet S, de Pasquale M. Constructing operating rules to avoid voltage collapse-a statistical approach[C], 1998 International Conference on Power System Technology , Beijing, China, AUG 18-21, 1998, 1468-1472.

DOI: 10.1109/icpst.1998.729331

[13] Huang, J.A., Valette, A., Beaudoin, M. An intelligent system for advanced dynamic security assessment[C]. International Conference on Power System Technology, Kunming, China, vol. 1. Oct 13-17, 2002, 220-24.

DOI: 10.1109/icpst.2002.1053538

[14] Louis Wehenkel. Machine-learning approaches to power-system security assessment. IEEE Expert, Vol. 12, No. 5, Sept. -Oct. 1997, 60-72.

DOI: 10.1109/64.621229

[15] Imamura, Tomoaki; Ide, Hiroo. History of public health crises in Japan[J]. Journal of public health policy, 2007 Jul, 28(2): 221-37.

DOI: 10.1057/palgrave.jphp.3200131

[16] Huang, J.A.; Vanier, G.; Valette, A. Wehenkel, L. Application of data mining techniques for automat settings in emergency control at Hydro-Quebec, IEEE Power Engineering Society General Meeting, 2003 , Volume: 4 , 13-17 July 2003 Pp (2044).

DOI: 10.1109/pes.2003.1270927

[17] Nuqui, R.F.; Phadke, A.G.; Schulz, R.P. Fast on-line voltage security monitoring using synchronized phasor measurements and decision trees, IEEE , Power Engineering Society Winter Meeting, 2001, Volume: 3 , 28 Jan. -1 Feb. 2001 Pages: 1347-352.

DOI: 10.1109/pesw.2001.917282