Abstract
With the rapid development and utilization of measurement, communication and automation technologies, residential users have the potential to participate in integrated demand response (IDR) by their controllable loads especially convertible loads in home energy management system (HEMS) and at the same time they will reduce energy cost. In this paper, detailed models of residential loads, including uncontrollable loads, transferable loads, shiftable loads and temperature controlled loads, are formulated. All the loads are managed by HEMS, in which a micro combined cooling, heating and power (mCCHP) unit is equipped to convert energy between power and gas. Based on the proposed load models, a mixed integer linear programming (MILP) optimization problem for the optimal operational strategy for HEMS considering IDR is formulated. This strategy is economic benefit oriented and takes users’ thermal comfort into consideration. Case studies show that the proposed strategy can help residential users reduce energy cost at about 25.2% while keeping within the acceptable comfort level.
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