Fossil fuels can supply the world energy for a limited time, and the huge reserves and resources of these fuels are declining; therefore, in the future, they cannot respond to the growing need of communities for energy. In addition, the production of environmental pollutants caused by these fuels is very harmful. It is therefore clear that a suitable alternative to fossil fuels should be sought, which in addition to mentioned issues can provide high-quality and high-reliability energy for a building. One of these alternatives is using renewable energy and distributed generation sources. The optimized design of energy resources for a domestic consumer connected to grids powered by solar renewable energy sources, energy storage systems, and electric vehicles, is the main purpose of this article. In this structure, the consumer is able to store his excess electricity in the battery so that at peak times and when the price of electricity is high; the required electricity can be supplied through the battery and less electricity will be purchased. The simulation was performed by the means of the gray wolf optimization algorithm and by considering the production and storage constraints of each resource, and the results were compared with genetic optimization and particle swarm algorithms. Simulation results show that the optimum timing of charging and discharging the electric car battery and its application in building power and energy storage in non-peak and low-cost electricity hours reduces the optimal capacity of the energy sources in the building and reduces the related costs.
