DocumentCode
3253070
Title
Wind power planning and operating capacity credit assessment
Author
Billinton, R. ; Huang, D. ; Karki, B.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
fYear
2010
fDate
14-17 June 2010
Firstpage
814
Lastpage
819
Abstract
Wind is an important energy source and is regarded as a valuable alternative to more traditional electric power generating sources. Generating capacity from wind power behaves quite differently than that from more conventional sources as the wind is variable, intermittent and both terrain and site specific. The capacity credit that can be assigned to a particular wind power site is therefore highly dependent on the wind regime at that site. This paper examines the concept of the capacity credit associated with one or more wind farms using the IEEE-Reliability Test System. The studies are focused on wind power capacity credit in the conventional power system planning sense and on the capacity credit associated with one or more wind farms in a system operating context. The basic probability indices of Loss of Load Expectation, Loss of Energy Expectation and Unit Commitment Risk are used to assess the Increase in Peak Load Carrying Capability attributable to an added wind facility and the assigned capacity credit. The analyses are extended to consider multiple wind sites with dependent and independent wind regimes.
Keywords
IEEE standards; power generation planning; power generation reliability; wind power plants; IEEE reliability test system; credit assessment; loss-of-energy expectation; loss-of-load expectation; peak load carrying capability; unit commitment risk; wind power operating capacity; wind power planning; Capacity planning; Power generation; Power system modeling; Power system planning; Power system reliability; System testing; Wind energy; Wind energy generation; Wind farms; Wind power generation; dependent and independent wind farms; planning and operating analysis; wind power capacity credit;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5720-5
Type
conf
DOI
10.1109/PMAPS.2010.5528975
Filename
5528975
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