DocumentCode :
1589478
Title :
Composite generation and transmission system adequacy assessment considering wind energy seasonal characteristics
Author :
Gao, Yi ; Billinton, Roy ; Karki, Rajesh
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
fYear :
2009
Firstpage :
1
Lastpage :
7
Abstract :
This paper examines the impact of seasonal changes in wind speed on the adequacy of composite generation and transmission systems with large-scale wind energy facilities. The relevant seasonal models are used to compare the system reliability indices obtained using annual models and seasonal models. The studies were conducted on the two test systems using a state sampling Monte Carlo approach. The studies presented illustrate the annual wind profile is an acceptable representation and that annual studies can be done directly using this profile. The procedures presented in this paper for creating seasonal/monthly wind energy conversion system models should be prove useful in situations where time period models are required to incorporate scheduled generation and transmission facility outages.
Keywords :
Monte Carlo methods; power generation reliability; power generation scheduling; power transmission reliability; wind power plants; composite generation reliability; generation scheduling; state sampling Monte Carlo approach; time period model; transmission system adequacy assessment; wind energy seasonal characteristics; Composite power system; load profile; seasonal/monthly characteristics; wind energy conversion system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275728
Filename :
5275728
Link To Document :
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