TY - GEN
T1 - Statistical characterization of wind power output for a given wind power forecast
AU - Al-Awami, Ali T.
AU - El-Sharkawi, M. A.
PY - 2009
Y1 - 2009
N2 - The stochastic nature of wind power output makes the integration of high penetration of wind into the power grid a real challenge. In this work, the uncertainty associated with the wind power output for a given wind power forecast is modeled using conditional probability density functions (pdf). Two pdf functions are considered: Beta and extreme value. Simulation results show that, in general, the proposed extreme value distribution outperforms Beta distribution at data bins of high wind power forecast whereas Beta is usually better at low to moderate wind forecast.
AB - The stochastic nature of wind power output makes the integration of high penetration of wind into the power grid a real challenge. In this work, the uncertainty associated with the wind power output for a given wind power forecast is modeled using conditional probability density functions (pdf). Two pdf functions are considered: Beta and extreme value. Simulation results show that, in general, the proposed extreme value distribution outperforms Beta distribution at data bins of high wind power forecast whereas Beta is usually better at low to moderate wind forecast.
UR - https://www.scopus.com/pages/publications/77954781085
U2 - 10.1109/NAPS.2009.5484044
DO - 10.1109/NAPS.2009.5484044
M3 - Conference contribution
AN - SCOPUS:77954781085
SN - 9781424444281
T3 - 41st North American Power Symposium, NAPS 2009
BT - 41st North American Power Symposium, NAPS 2009
ER -
