Optimal Management of Household Loads Based on Consumer Elasticity and Appliance Diversity

Abstract

Under smart grid technology, the energy consumption of buildings can be managed in power or time through residential demand response (DR) programs. The main task in the DR program is to find optimal solutions to the operation of household appliances. In this regard, providing appropriate models of appliances for the energy management problem is essential to the proper implementation of DR programs. Therefore, this study presents an inclusive categorization of appliances depending on their energy consumption attributes. On the other hand, residential consumers are classified according to their elasticity in energy consumption routines. Then, a household energy management problem is modeled as an optimization problem with a peak demand limitation (PDL) to avoid the accumulation of consumption at low priced hours. An optimization-wise strategy is proposed for the solution of the problem. A case study is implemented to show the effectiveness of the proposed strategy in terms of cost-saving and comfort maintenance for each type of consumer.