A novel model for home energy management system based on Internet of Things

Under the environment of smart grid, residential users play an extremely key to improve the efficiency of the power grid. It is necessary to motivate residential users to participate in managing their household appliances. However, it is a considerable challenge for residential users to find an optimal scheduling scheme of household appliances by themselves. In this paper, a novel model for home energy management system (HEMS) based on Internet of things (IoT) is proposed to solve this challenge. The model not only utilizes radio frequency technology (RFID) to achieve full automatic control of household appliances, but also employs renewable energy, storage battery and plug-in electric vehicles (PEV). Considering various users' demands, the model can set four kinds of demands for household appliances via terminal appliances. To provide a higher users' satisfaction, two types of satisfactory functions are presented. The model adopts the time interval optimization strategy to find an optimal scheme, and the objective function minimizes the users' electricity costs as well as maximizes the users' satisfaction. Meanwhile the discrete multi-objective bacterial colony chemotaxis algorithm (DMOBCC) is adopted to solve this problem. Case studies are implemented to demonstrate the time interval optimization strategy and simulation results verify the effectiveness of the proposed approach.