Analysis of Active and Transactive Demand Response Strategies for Smart Residential Buildings

Dynamic pricing and demand response programs are playing key roles in the modern smart grid environment to manage peak loads. With the current advent of communication systems, more user-friendly price driven schemes started emerging at the residential level. In the United States, heating and air-conditioning loads are major contributors to total electricity consumption in residential buildings. In some areas, cooling loads during summer months are the highest of the whole year due to high outdoor air temperature and the wholesale electricity prices also increase as a consequence. In this paper, two demand response strategies i.e, active control and transactive control for a residential building are analyzed. Heating, Ventilation and Air Conditioning (HVAC) is considered as a responsive load and its set-point change to real-time prices and total power consumption in each method are analyzed. Modelling of single-family residential building and simulation are done in GridLAB-D.