Novel Approach for Optimal Sizing of Stand-alone Hybrid Photovoltaic/Wind Systems Using Evolutionary Algorithms

Abstract

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 based on evolutionary algorithms such as GSA and PSO algorithms to optimize. 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. 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.