Using Flexibility Information for Planning the Energy Demand of Households
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.
KeywordsFlexibility models Load predictive models Optimization models Energy scheduling EV charging HVAC PV generation Demand response OADR 2.0 Day-ahead pricing Setpoint following
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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