Optimal scheduling of home electrical appliances and power resources

In this thesis, an o ffline home energy management system is proposed to minimize electrical cost and reduce high peak demand while maintaining user comfort. The system is composed of smart electrical appliances, which are divided into three subclasses as uncontrollable, semi-controllable and controllable, power resources (grid, backup battery, photovoltaic system), communication network, plug-in hybrid electrical vehicle and a main controller. At the beginning of each day, the main controller gathers user requests, power resources and smart electrical appliances information and solves a mixed integer linear programming problem that is subject to smart and energy eff icient operation constraints defined for appliances and power resources. The interruption is also allowed in controllable appliances while maintaining user comfort. The solution of this problem provides cost minimizing schedules of controllable appliances and power resources. Simulation results demonstrate that the proposed home energy management system significantly reduces the electrical costs and peak demand.