Statistical Analysis of Wind Power and Analytical Methods for Wind Persistence in Magdalena and Cesar Departments in Colombia

Abstract

Background/Objectives: Efficient energy management and its rational use have contributed to the development of statistical studies in the field of the wind resources. Methods: Based on the measurement of wind’s direction and velocity in the Colombian Caribbean Region, in order to promote the implementation of wind farms, capable to supply energy to the national grid system. Findings: These studies are conducted based on the hourly, monthly, and annual characterization, additional to the application of the autocorrelation function for the study of wind persistency and the calculation of the probability of density functions such as the Normal, Gamma, Rayleigh, and Weibull appliedto historical data recorded between 2003-2013 by the Instituto de Hidrologia, Metereologia y EstudiosAmbientales de Colombia (IDEAM) for the departments of Cesar and Magdalena. Application: To achieve a rational use of wind energy, it is necessary to analyze the wind obtained in the weather stations when applying the analysis of wind persistency and Weibull distribution. Keywords: Autocorrelation Function, Probability Density Function, Wind Persistency, Wind Velocity, Wind Potential