A Mixed-integer Linear Programming Model for Optimal Management of Residential Electrical Loads under Dynamic Tariffs

Abstract

This paper presents a mixed-integer linear programming model to automate energy decisions of residential consumers regarding the operation of shif table, interruptible and thermostatic loads under dynamic tariffs. The cost objective function includes energy costs and a discomfort cost associated with the deviation of indoor temperature with respect to a comfort range. The model has been solved using GAMS/Cplex for a 24-hour planning period considering a 15-minute time discretization and different consumer comfort profiles.