A Bayesian Approach of the Availability Complementarity of Renewable Resources

Abstract

The availability and the autonomy of local power systems supplied from renewable sources are the main subject of the paper. Due to pure random nature of solar and wind characteristics, the Bayes network methodology was selected to study the available generated power of given resources non-optimally located but near the load. The Bayes networks were generated from a large database. The corresponding information was recorded using a professional meteorological station while the Essential Graph Search was the algorithm to generate the final Bayes network structure and parameters. The network allows for weather estimation also. The final results were validated by meteorological experts.