DocumentCode :
624397
Title :
Extension of area risk concepts to incorporate wind power in unit commitment risk evaluation
Author :
Thapa, Suman ; Karki, Rajesh ; Billinton, Roy ; Kile, Hakon
Author_Institution :
Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, SK, Canada
fYear :
2013
fDate :
5-8 May 2013
Firstpage :
1
Lastpage :
4
Abstract :
Large scale wind power installations are growing rapidly all over the world. The inherent variability associated with wind power generation is causing increased concerns to electric power system operators where wind power penetration is significant. The reliability concerns of a conventional generating unit and a wind turbine generator are different in the sense that wind power generation shows random variations between zero and the rated capacity. This is not the case with conventional generation where the generation level can be controlled to dispatch power as required. The unit commitment risk analysis of a wind integrated power system should encompass the uncertainty of wind power output along with the stochastic failures of the conventional generation. This paper utilizes the time series model of wind speed and the conditional probability approach to quantify the short term variability of wind power generation. The wind power variability is appropriately combined with the rest of the system using the area risk concept to measure contribution of wind power in the unit commitment risk.
Keywords :
failure analysis; power generation dispatch; power generation reliability; power generation scheduling; risk analysis; stochastic processes; time series; wind power plants; area risk concepts; conditional probability approach; electric power system operators; power dispatch control; stochastic failures; time series model; unit commitment risk evaluation; wind integrated power system; wind power generation; wind power installations; wind power output; wind power penetration; wind speed; wind turbine generator; Autoregressive processes; Power systems; Probability distribution; Reliability; Risk analysis; Wind power generation; Wind speed; ARMA; Area risk; capacity credit; unit commitment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location :
Regina, SK
ISSN :
0840-7789
Print_ISBN :
978-1-4799-0031-2
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2013.6567677
Filename :
6567677
Link To Document :
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