Title :
Energy storage and its use with wind power
Author :
Barton, John P. ; Infield, David G.
Author_Institution :
Loughborough Univ., UK
Abstract :
A simple probabilistic method has been developed to predict the ability of energy storage to accommodate the intermittency of wind-powered generation. This method can estimate the fraction of time the store is empty or full, the amount of wind energy that must curtailed and the amount of electrical demand left unsatisfied by wind power alone. The method can be applied to stand-alone systems or to weak electricity grids where the level of wind powered generation would be limited by network constraints. A wide range of time scales from seconds to months can be accommodated. The method is briefly outlined, and illustrated by example.
Keywords :
energy storage; probability; wind power; wind power plants; energy storage; simple probabilistic method; stand-alone systems; weak electricity grids; wind power; wind-powered generation; Energy storage; Mesh generation; Power generation; Power system interconnection; Power system modeling; Renewable energy resources; Wind energy; Wind energy generation; Wind speed; Wind turbines;
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
DOI :
10.1109/PES.2005.1489154