Title :
The application of Bayes inference in multicriteria analysis to design energy storage systems in renewable power generation
Author :
Chiodo, Elio ; Di Noia, L.P. ; Rizzo, Rocco
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. of Naples Federico II, Naples, Italy
Abstract :
In recent years, the wide utilization of renewable energy sources has brought some problems for the dispatching of generated energy. In recent technical papers are proposed some solutions to improve the renewable energy dispatching: i. e. it is possible to set up an optimal strategy to recharge electric vehicles, or use batteries storage systems, supercapacitors or fuel cells. The aim of this papers is the application of multicriteria analysis to design batteries energy storage systems. By means of Bayesian inference is possible to take into account some uncertainties of batteries characteristics and estimate the best choice for the design of the storage system.
Keywords :
Bayes methods; battery storage plants; power generation dispatch; Bayes inference; Bayesian inference; battery energy storage system design; electric vehicle recharge; fuel cells; generated energy dispatching; multicriteria analysis; optimal strategy; renewable energy dispatching; renewable energy sources; renewable power generation; supercapacitors; Batteries; Bayes methods; Discharges (electric); Power system stability; Renewable energy sources; Bayes inference; Energy Storage System; Multicriteria Analysis; Renewable power generation;
Conference_Titel :
Clean Electrical Power (ICCEP), 2013 International Conference on
Conference_Location :
Alghero
Print_ISBN :
978-1-4673-4429-6
DOI :
10.1109/ICCEP.2013.6586937
