Customer Selection for Residential Demand Response with Thermostatically Controlled Loads

Abstract

Smart cities will have better managed smart grids thanks to demand response (DR) programs using thermostatically controlled loads (TCL). Selecting suitable customers is an essential part of a successful residential DR program. The current recruitment methodologies aim to enroll as many participants as possible. This method is costly as there is a cost associated with each recruitment such as providing the customers with remotely controllable air-conditioning systems. DR operators can reduce their cost by recruiting the customers that are more likely to be effective in the DR programs. In this paper, the customers' thermal sensitivity (CTS) is obtained from a modified breakpoint model to iden..