novel approach for optimal sizing of stand-alone hybrid photovoltaic/wind systems

nowadays using of new energies in the form of dispersed resources in the worlds is wide spreading. in this article we will design a dispersed production source in the form of a solar/wind hybrid power plant in order to supply the energy of a residential unit according to a sample load pattern. the aim of aforementioned design is to reduce its costs in a period of 20 years. in order to optimize system costs we will use a new algorithm which is based on collective intelligence namely gravitational search algorithm and also we will use particle swarm optimization algorithm. at the end of the article we will present anemometry and radiation data which is collected from an area in ardebil and mashhad, note that these data is optimized based on our suggested algorithm. finally we can conclude that with an appropriate design of dispersed production resources we will be able to effectively reduce costs and make renewable energy usage more economically.