Smart Household Energy Management by Employing EV and BESS as Enabling Technologies

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Abstract

As smart grid enabler, demand response programs have been a major attraction for reducing the peak demand in the electrical power system. The household user can contribute to significant potential for reduction in energy demand during peak hours. This paper is focused on the energy management of a single household equipped with several assets including home appliances, electric vehicle (EV) and battery energy storage system (BESS). A small-scale rooftop solar photovoltaic (PV) generation is also a part of smart household. The BESS and PV are employed for charging home appliances, and if any surplus energy is available, it can fed back to grid. The optimization problem of smart household energy management is developed as a mixed integer linear programming (MILP). The electricity consumer is registered for real time prices based demand re- sponse programs by the load serving entity (LSE). The simulation results have exposed the significant contribution to gaining user cost benefits and peak to average ratio minimization for the LSE. By employing proposed approach the cost benefit of 87.06 Cents is achieved with 34.4 % peak to average ratio.

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