Residential load scheduling optimization for demand-side management under time-of-use rate

Abstract

In this study, a load scheduling optimization in terms of demand response (DR) is performed to reduce total electricity bills of residential households without exceeding the maximum peak power limit set by the entity. A mixed integer linear programming (MILP) based model is applied to schedule shiftable loads to off-peak hours under time-of-use (TOU) rate. It is also aimed to manage electric vehicle loads to overcome problems that could be possibly arise from high penetration of the electric vehicles to the grid in a near future. Results showed that, the proposed method allows end-users to reduce their total electricity cost by managing their shiftable loads while significantly contributing to the reduction in peak-to-average ratio (PAR) of the household's load demand.