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Wireless Distributed Load-Shedding Management System for Non-Emergency Cases

Authors: Taha Landolsi, A. R. Al-Ali, Tarik Ozkul, Mohammad A. Al-Rousan

Abstract:

In this paper, we present a cost-effective wireless distributed load shedding system for non-emergency scenarios. In power transformer locations where SCADA system cannot be used, the proposed solution provides a reasonable alternative that combines the use of microcontrollers and existing GSM infrastructure to send early warning SMS messages to users advising them to proactively reduce their power consumption before system capacity is reached and systematic power shutdown takes place. A novel communication protocol and message set have been devised to handle the messaging between the transformer sites, where the microcontrollers are located and where the measurements take place, and the central processing site where the database server is hosted. Moreover, the system sends warning messages to the endusers mobile devices that are used as communication terminals. The system has been implemented and tested via different experimental results.

Keywords: Smart Grid, Load shedding, Demand SideManagement, GSM Wireless Networks, SCADA systems.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084362

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References:


[1] J.J. Ford, H. Bevrani, G. Ledwich, "Adaptive load shedding and regional protection", International Journal of Electrical Power & Energy Systems, Volume 31, Issue 10, November-December 2009, Pages 611- 618.
[2] F. Capitanescu, B. Otomega, H. Lefebvre, V. Sermanson, T. Van Cutsem, " Decentralized tap changer blocking and load shedding against voltage instability: Prospective tests on the RTE system, Electrical Power and Energy Systems, Vol 31, Issue 9, 2009, pp 570- 576.
[3] R. M. Maliszewski, R.D. Dunlop, and G. L. Wilson, "Frequency actuated load shedding and restoration Part IÔÇöphilosophy", IEEE Transactions on Power Apparatus and Systems, vol. 90, no. 4, 1971, pp. 1452-1459.
[4] A. Saffarian, M. Sanaye-pasand, H. Asadi," Performance Investigation of New Combinational Load Shedding Schemes", Joint International Conference on Power System Technology and IEEE Power India Conference, 2008. pp 1 - 8.
[5] A. A. Abou, A. Zein El-Din, S. R. Spea, S.R., "Optimal load shedding in power systems", Eleventh International Middle East Power Systems Conference, Volume 2, 2006, pp. 568 - 575.
[6] S. J. Huang, and C. -C. Huang, "An adaptive load shedding method with time-based design for isolated power systems," International Journal of Electrical Power & Energy Systems, vol. 22, no. 1, January 2000, pp. 51-58.
[7] IEEE, "Guide for loading mineral-oil-immersed transformers,", IEEE Std. C57.91-1995.
[8] D. S. Kirschen, "Demand-Side View of Electricity Markets" IEEE Trans on power system, vol. 18, No. 2, May 2003, pp.520-527.
[9] C. M. Affonso, L. C. P. da Silva, and W. Freitas, "Demand-Side Management to Improve Power System Security", IEEE PES Transmission and Distribution Conference and Exhibition, 2005, pp. 517-522.
[10] T. Leibfried, "Online monitor keeps transformer in service," in IEEE Computer Applications in Power, vol. 11, July 1998, pp.36-42.
[11] W. Howe, T.S. Majewski, G.A. Kruse, "Method of load shedding to reduce the total power consumption of a load control system", United States Patent Application Publication, US 2009/0315400 A1, Dec. 24, 2009.
[12] X. Jinqiu, X.Shumei, W. Guohe, " Monitor system of the intelligent power earth lines based on GSM SMS protocol", Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on, pp. 3-178 - 3-181.
[13] Chen Peijiang Jiang Xuehua , "Design and Implementation of Remote Monitoring System Based on GSM" , Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008. pp. 678 - 681.
[14] Transformer Mineral Oil handbook, Nynas Naphthenics. Available on URL: http://www.nynas.com.
[15] J. H. Ahrens, U. Dieter, "Computer Generation of Poisson Deviates". ACM Transactions on Mathematical Software, vol. 8, no. 2, 1982, pp.163-179.
[16] D. C. Montgomery, and G. C. Runger, Applied Statistics and Probability for Engineers, John Wiley, 2007.