TY  - CONF
  - Mc Garrigle, E. and Leahy, P. G.
  - Proceedings of the 12th IEEE International Conference on Environment \; Electrical Engineering
  - The value of accuracy in wind energy forecasts
  - 2013
  - May
  - Validated
  - 1
  - Scopus: 8 ()
  - unit commitment; economic dispatch; mixed integer linear programming; PLEXOS for power systems; electricity markets.
  - Wroclaw, Poland
  - 05-MAY-13
  - 08-MAY-13
  - Abstract—Wind generation of electricity is both variable andunpredictable in its nature. Wind energy forecasting is a means ofaddressing both of these issues. This study quantifies the effectsof the accuracy of wind energy forecasts on the operation of theIrish electricity system of 2020. Through combined use of dayaheadscheduling and real-time simulations, it was found thatthere are notable savings to be made and that changes occur inthe dispatch of generator technology types with improvementsin wind forecast accuracy. There are potential savings of onaverage 0.27% of total generation cost for every percentagepoint decrease in the normalised mean absolute error of windforecasts. This is mainly resulting from less frequent use ofhigh-cost OCGT’s on the system due to the day-ahead schedulebecoming a more accurate representation of actual generation aswind forecast accuracy improves. There is also a slight reductionin wind curtailment with increased accuracy of the day-aheadunit commitment schedule.
  - Irish Research Council; Science Foundation Ireland.
  - http://eeeic.eu/
  - 10.1109/EEEIC.2013.6549572
DA  - 2013/05
ER  - 

@inproceedings{V225931835,
   = {Mc Garrigle, E. and Leahy, P. G.},
   = {Proceedings of the 12th IEEE International Conference on Environment \; Electrical Engineering},
   = {{The value of accuracy in wind energy forecasts}},
   = {2013},
   = {May},
   = {Validated},
   = {1},
   = {Scopus: 8 ()},
   = {unit commitment; economic dispatch; mixed integer linear programming; PLEXOS for power systems; electricity markets.},
   = {Wroclaw, Poland},
  month = {May},
   = {08-MAY-13},
   = {{Abstract—Wind generation of electricity is both variable andunpredictable in its nature. Wind energy forecasting is a means ofaddressing both of these issues. This study quantifies the effectsof the accuracy of wind energy forecasts on the operation of theIrish electricity system of 2020. Through combined use of dayaheadscheduling and real-time simulations, it was found thatthere are notable savings to be made and that changes occur inthe dispatch of generator technology types with improvementsin wind forecast accuracy. There are potential savings of onaverage 0.27% of total generation cost for every percentagepoint decrease in the normalised mean absolute error of windforecasts. This is mainly resulting from less frequent use ofhigh-cost OCGT’s on the system due to the day-ahead schedulebecoming a more accurate representation of actual generation aswind forecast accuracy improves. There is also a slight reductionin wind curtailment with increased accuracy of the day-aheadunit commitment schedule.}},
   = {Irish Research Council; Science Foundation Ireland.},
   = {http://eeeic.eu/},
   = {10.1109/EEEIC.2013.6549572},
  source = {IRIS}
}