Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles

With the emergence of smart grid, which presents the next generation of electrical power systems, residents have the opportunities to manage their home energy usage to reduce energy expenditure. This paper presents a mixed integer linear programming model to optimize the energy production and consumption systems in a smart home with the integration of renewable energy resources, battery storage systems, and gridable vehicles. Numerous case studies are presented by varying significant factors through the design of experiments with the Taguchi method. After that, a heuristic technique is proposed to solve the problem of residential energy management and to minimize the electricity cost of the consumer. Results find the global optimum solution for many consecutive days with important reduction of execution time and by achieving significant energy cost savings of the considered scenarios.