Title :
An assessment of wind speed stochastic model for the UK
Author :
Dizqah, Arash M. ; Maheri, Alireza ; Busawon, Krishna
Author_Institution :
Sch. of Comput., Eng. & Inf. Sci., Northumbria Univ., Newcastle upon Tyne, UK
Abstract :
Hybrid Renewable Energy System (HRES) can effectively supply sustainable electrical energy in standalone remote areas. However, in order to design a reliable site and a robust controller, uncertainties in sustainable energy resources need to be modeled properly. This paper proposes a stochastic model of hourly wind speed for four locations across the UK. The goodness-of-fit of the proposed model has been evaluated using the Kolmogorov-Smirnov (K-S) test. The proposed model has been employed to simulate the amount of hourly wind speed for a location in the UK.
Keywords :
wind power; HRES; K-S test; Kolmogorov-Smirnov test; UK; energy resources; hybrid renewable energy system; robust controller; standalone remote areas; wind speed; wind speed stochastic model assessment; Educational institutions; Mathematical model; Renewable energy resources; Shape; Stochastic processes; Weibull distribution; Wind speed; Hybrid Renewable Energy System; Simulation; Stochastic Modelling; Uncertainty; Wind Speed;
Conference_Titel :
Environment Friendly Energies and Applications (EFEA), 2012 2nd International Symposium on
Conference_Location :
Newcastle upon Tyne
Print_ISBN :
978-1-4673-2909-5
Electronic_ISBN :
978-1-4673-2910-1
DOI :
10.1109/EFEA.2012.6294031