Optimal Sizing for Stand-Alone Hybrid PV-WIND Power Supply System Using PSO

摘要

Limited fuel reserves and harmful effects of environmental pollution have brought about a lot of development in renewable energy sources. Among these renewable energy sources, solar and wind are found to be the most viable energy sources in the world. Due to their uncertainties in supply and the nonlinear characteristics of some of their components, the system becomes unreliable. But when applied as hybrid system, these sources are found to be more economical and efficient. In optimizing the sizing of such hybrid system parameters the evolutionary algorithms have been proved to give faster and more efficient results as compared to classical methods. This work concentrates in finding an optimal configuration of PV modules, Wind turbines and Battery numbers by minimizing the annualized cost considering the loss of power supply probability using Particle Swarm Optimization technique. The radiation and wind data of India obtained from the NASA meteorological website are considered for analysis.