A survey on wind power ramp forecasting.

Ferreira, C. ; Gama, J. ; Matias, L. ; Botterud, A. ; Wang, J. (Decision and Information Sciences) ; Porto), (INESC

Argonne National Laboratory

关键词: Power Generation;    Forecasting;    Electricity;    Wind Power;    Stability;   

RP-ID  :  ANL/DIS-10-13
RP-ID  :  DE-AC02-06CH11357
RP-ID  :  1008309

美国|其它

来源: UNT Digital Library

【 摘 要 】

The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.