Modeling optimal deployment of smart home devices and battery system using MILP

Abstract

A home energy management system (HEM), which is an integral part of smart grid, can not only allow more comfortable control over smart home appliances but also could reduce electricity bill. With the integration of battery system, a household will become prosumer with the possibility to optimize its own energy use during a certain time period and sell its own excess of electricity on the market. This paper proposes an algorithm to schedule smart home appliances and battery system, by taking into account preferences of an end user as well as the system constraints. The target function is to minimize the total energy costs. Finally, the results of the proposed model in terms of cost savings have been analyzed on three test cases for a typical day.