DocumentCode :
1265541
Title :
One Step Ahead: Short-Term Wind Power Forecasting and Intelligent Predictive Control Based on Data Analytics
Author :
Venayagamoorthy, Ganesh Kumar ; Rohrig, Kurt ; Erlich, Istvan
Author_Institution :
Clemson University, Clemson, South Carolina USA
Volume :
10
Issue :
5
fYear :
2012
Firstpage :
70
Lastpage :
78
Abstract :
The intelligent integration of wind power into the existing electricity supply system will be an important factor in the future energy supply in many countries. Wind power generation has characteristics that differ from those of conventional power generation. It is weather dependent in that it relies on wind availability. With the increasing amount of intermittent wind power generation, power systems encounter more and more short-term, unpredicted power variations. In the power system, supply and demand must be equal at all times. Thus, as levels of wind penetration into the electricity system increase, new methods of balancing supply and demand are necessary.
Keywords :
Electricity supply industry; Power markets; Power system planning; Supply and demand; Wind power generation;
fLanguage :
English
Journal_Title :
Power and Energy Magazine, IEEE
Publisher :
ieee
ISSN :
1540-7977
Type :
jour
DOI :
10.1109/MPE.2012.2205322
Filename :
6269206
Link To Document :
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