RESIDENTIAL DEMAND RESPONSE USING A HOUSE AS A BATTERY
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The growth in the number of residential intelligent electrical appliances and home energy management systems creates the potential to provide residential demand response services to the electricity grid. Simultaneously, direct control of individual devices by utilities can cause coordination and privacy concerns. A method to overcome this challenge is to combine all devices in a house into a single unit for the purposes of demand response. It allows to provide demand response service without giving up information on or control over specific appliances. The contribution of this thesis is the development of a proof of concept for a home energy management system that can combine several devices into a single unit of demand response. This study suggests an adjusted 2d bin packing problem with partial trimming and a recursive join algorithm to optimize bidding of an individual house. It tests the algorithm with the use of controllable devices in an experimental house. It further uses simulations to establish whether the use of a house as a battery causes a reduction in available demand response capacity and whether demand response can provide financial incentives to individual users. It also solves an additional problem that emerged along the way: the problem of predicting the charge of HVAC systems. The thesis serves as an intermediate step between existing theoretical research and possible future steps, such as commercial prototyping of systems that provide residential demand response services at the point of common coupling.