Abstract
The increasing global demand for power has resulted in frequent blackouts in many geographies. The cost of domestic standby generation is prohibitive and novel strategies to provision measures that manage blackouts are becoming much sought after. In some scenarios certain amounts of surplus power can be identified, with the mix of available generation not being fully utilized. The paper presents a strategy that harnesses the aggregated superfluous power to fulfil essential demand in residential areas during cyclic blackouts. The solution has at its foundation, a multi-agent distributed demand management system with a supply-demand matching capability. Power is not distributed fairly to each user, and appliances which consume the most significant levels of power such as air conditioners are serviced according to the available superfluous power. The approach is evaluated through an extensive emulation framework and results show that the proposed system is capable of providing an acceptable Quality-of-Service (QoS) level during cyclic blackout periods and at the same time succeeds in smoothing demand profiles.
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References
Wikipedia the free encyclopedia, November 2013. http://en.wikipedia.org/wiki/List_of_major_power_outages
Enacheanu, B. et al.: New control strategies to to prevent blackout: intentional islanding operation in distributed networks. In: 18th International Conference on Electricity Distribution, Turin, (2005)
Bashash, S., Fathy, H.K.: Modeling and control insights into demand-side energy management through setpoint control of thermostatic loads. In: American Control Conference, San Francisco, USA (2011)
Zhang, B., Baillieul, J.: A packetized direct load control mechanism for demand side management. In: IEEE 51st Annual Conference on Decision and Control (CDC), Maui, Hawaii (2012)
Qureshi, J.A., Gul, M., Qureshi, W.A.: Demand side management through innovative load control. In: IEEE Region 10 Conference (TENCON), Fukuoka, Japan (2010)
Ha, D.L., de Lamotte, F.F., Huynh, Q.H.: Real-time dynamic multilevel optimization for demand side management. In: IEEE International Conference on Industrial Engineering and Engineering Management, Singapore (2007)
Baba, M.F.: Smart grid with ADSL connection for solving peak blackout in west bank. In: First International Conference on Renewable Energies and Vehicular Technology (REVET), Hammamet, Tunsia (2012)
Shafer, M.G., Bakar, K.A., Ramadhani, F.: Novel dual demand side management (2DSM) scheme in optimizing utilization of available power. In: IEEE Symposium on Computational Intelligence in Control and Automation (CICA), Singapore (2013)
Chen, Y.-W., Chen, X., Maxemchuk, N.: The fair allocation of power to air conditioners on a smart grid. IEEE Trans. Smart Grid 3(4), 2188–2195 (2012)
Amato, A., Calabrese, M., Di Lecce, V., Piuri, V.: An intelligent system for decentralized load management. In: IEEE international conference on computational intelligence for management systems and applications, La Coruna, Spain (2006)
Kok, J.K., Warmer, C.J., Kamphuis, I.G.: PowerMatcher: multiagent control in the electricity infrastructure. In: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (AAMAS 2005), pp. 75–82, New York, USA (2005)
de Almeida, A.T., Yokoe, J.M.: Residential cool storage: peak load reduction alternatives. IEEE Trans. Power Syst. 3(3), 837–843 (1988)
Bom, G.J., Foster, R., Dijkstra, E., Tummers, M.: Evaporative Air − Conditioning Applications for Environmentally Friendly Cooling - World Bank Technical Paper No. 421, Washington, USA (1999)
Yamada, H., Yoom, G., Okumiya, M., Okuyama, H.: Study of cooling system with water mist sprayers: fundamental examination of particle sizedistribution and cooling effects. Build. Simul. 1(3), 214–222 (2007)
WeatherSpark, April 2014. http://weatherspark.com/#!graphs;ws=32872
Acknowledgement
The researchers would like to thank Basra Governorate Council, Basra Power authority in all its branches that have participated effectively in supporting this research; University of Basra, Southern Oil Company, Basra Public Hospital, Ibn-Bitar Private Hospital, Kafaat Medical Center, and finally the people of Kafaat.
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Al-Salim, K., Andonovic, I., Michie, C. (2015). Cyclic Blackout Mitigation Through HVAC Shifted Queue Optimization. In: Klingert, S., Chinnici, M., Rey Porto, M. (eds) Energy Efficient Data Centers. E2DC 2014. Lecture Notes in Computer Science(), vol 8945. Springer, Cham. https://doi.org/10.1007/978-3-319-15786-3_3
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DOI: https://doi.org/10.1007/978-3-319-15786-3_3
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