Optimal Home Energy Management System With Demand Charge Tariff and Appliance Operational Dependencies

Abstract

Two-way communication facilities and advanced metering infrastructure enable residential buildings to be capable of actively participating in demand side management schemes. This paper proposes a new home energy management system (HEMS), which optimally schedules the operation of home energy resources, with the aim to minimize the home's one-day electricity cost charged by the real-time pricing while taking into account the monthly basis peak power consumption penalty, charged by the demand charge tariff. To better ensure the user's lifestyle requirements, the HEMS also models lifestyle-related operational dependencies of household appliances. The numerical simulations and case studies are conducted to validate the reasonability of the proposed method.