Abstract
Energy flexibility information describes the energy minimum and the maximum consumption profiles of a flexible load, and has been recently recognized as a significant enabler for smart energy management in the grid. In this paper we describe an energy management architecture in a residential grid that allows a flexibility operator to use the flexibility of household consumption. Among the benefits of this setting are, for instance, that the demand management can cope with higher household loads due to house heating, electric vehicle charging, and schedule the loads while respecting the total consumption limit. Another benefit of the architecture is the robustness of the system in case the communication between flexibility operator and households is disrupted. In addition to system architectural aspects, the paper describes the optimization problems in both controllers and presents numerical results from the use of a benchmark grid.
References
Biegel, B., Andersen, P., Stoustrup, J., Hansen, L.H., Tackie, D.V.: Information modeling for direct control of distributed energy resources. In: 2013 American Control Conference (ACC), pp. 3498–3504. IEEE, June 2013
Sundstrom, O., Binding, C.: Flexible charging optimization for electric vehicles considering distribution grid constraints. IEEE Trans. Smart Grid 3(1), 26–37 (2012)
Lopes, J.A.P., Soares, F.J., Almeida, P.M.R.: Integration of electric vehicles in the electric power system. Proc. IEEE 99(1), 168–183 (2011)
CEN-CENELEC-ETSI Smart Grid Coordination Group: Sustainable Processes (2012)
Harbo, S., Biegel, B.: Contracting flexibility services. In: 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), pp. 1–5. IEEE, October 2013
Pedersen, R., Sloth, C., Andresen, G.B., Wisniewski, R.: DiSC - a simulation framework for distribution system voltage control (2014)
Andersson, G.: Dynamics and control of electric power systems. Lecture notes, 227–0528 (2012)
Binding, C., Dykeman, D., Ender, N., Gantenbein, D., Mueller, F., Rumsch, W.C., Tschopp, H.: FlexLast: an IT-centric solution for balancing the electric power grid. In: IECON 2013–39th Annual Conference of the IEEE Industrial Electronics Society, pp. 4751–4755. IEEE, November 2013
Molderink, A., Bakker, V., Bosman, M.G., Hurink, J.L., Smit, G.J.: Management and control of domestic smart grid technology. IEEE Trans. Smart Grid 1(2), 109–119 (2010)
Orda, L.D., Bach, J., Pedersen, A.B., Poulsen, B., Hansen, L.H.: Utilizing a flexibility interface for distributed energy resources through a cloud-based service. In: 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 312–317. IEEE, October 2013
Tus̆ar, T., Dovgan, E., Filipic, B.: Scheduling of flexible electricity production and consumption in a future energy data management system: problem formulation. In: Proceedings of the 14th International Multiconference Information Society IS 2011, pp. 96–99 (2011)
Palensky, P., Dietrich, D.: Demand side management: demand response, intelligent energy systems, and smart loads. IEEE Trans. Ind. Inf. 7(3), 381–388 (2011)
DeRidder, F., Hommelberg, M., Peeters, E.: Four potential business cases for demand side integration. In: Proceedings of the 6th European International Conference on Energy Market, EEM 2009, pp. 1–6, May 2009
SmartC2Net official webpage. http://www.SmartC2Net.eu
Gurobi Solver webpage. www.gurobi.com
Bessler, S., Drenjanac, D., Hasenleithner, E., Ahmed-Khan, S., Silva, N.: Using flexibility information for energy demand optimization in the low voltage grid. In: SmartGreens Conference, Lisbon, Portugal (2015)
Acknowledgements
The research leading to these results has received funding from the European Community Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 318023 for the SmartC2Net project.
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Bessler, S., Drenjanac, D., Hasenleithner, E., Silva, N. (2015). Using Flexibility Information for Planning the Energy Demand of Households. In: Helfert, M., Krempels, KH., Klein, C., Donellan, B., Guiskhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2015 2015. Communications in Computer and Information Science, vol 579. Springer, Cham. https://doi.org/10.1007/978-3-319-27753-0_12
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DOI: https://doi.org/10.1007/978-3-319-27753-0_12
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