Optimal Smart Home Scheduling with Considering Hybrid Resource Management

Environmental scientists are attempting to provide a novel solution for resolving environmental issues. The home energy management problem is one of the challenging problems in smart grids. The emergence of smart homes and their relation with the distribution system has created new economic, efficiency, and other subjects. In this paper, mixedinteger linear programming is utilized in GAMS for improving the economic indexes of prosumers. By using the presented method, low cost and high comfort for users are reachable. To show the adequate performance of the utilized method, two case studies have been demonstrated. In these case studies, various renewable energy resources have been considered to solve a comprehensive problem. From the simulation results were deduced that the CHP unit has the principal role in increasing the daily profit of the system.