Relleno de datos de velocidades de viento mediante la aplicación de método de Hot Deck para la estimación de producción de energía eléctrica en base al recurso eólico

Abstract

During the wind measurement campaigns in the weather stations, atypical conditions can occur that produce the loss of data either by equipment failure, by backup power supply failure, by storage space saturation, among others. Therefore, it is necessary that the data series be complete, try to reduce the uncertainty in the process. In this work we work with wind speed data provided by the weather station installed at the Salesian Polytechnic University. Quito Headquarters - South Campus. The data recorded on an hourly basis is complete and validated by the Rachas method. Based on the complete series, 3 additional data series will be needed, randomly citing 10, 40 and 70% of data. Applying the Hot-Deck method, the constructed series are completed and comparisons are made with the complete original data series. Weibull Distribution is used for the modification of electric energy production. Finally, there are the results in which the effectiveness of data submission is analyzed according to the proposed scenarios. RStudio and Matlab computational aids have been used for the development of the work.