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One Step Ahead: Short-Term Wind Power Forecasting and Intelligent Predictive Control Based on Data Analytics

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3 Author(s)
Venayagamoorthy, G. ; Clemson University, Clemson, South Carolina USA ; Rohrig, K. ; Erlich, I.

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.

Published in:

Power and Energy Magazine, IEEE  (Volume:10 ,  Issue: 5 )