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
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;
Journal_Title :
Power and Energy Magazine, IEEE
DOI :
10.1109/MPE.2012.2205322