DocumentCode :
1521969
Title :
Well-Being Analysis of Wind Integrated Power Systems
Author :
Billinton, Roy ; Karki, Bipul
Author_Institution :
Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, SK, Canada
Volume :
26
Issue :
4
fYear :
2011
Firstpage :
2101
Lastpage :
2108
Abstract :
The paper presents well-being analysis of wind integrated electric power generating systems. An approach is presented for calculating well-being indices which gives much faster results than previously published methods. The link between the unit commitment risk criterion (UCRC) and system healthy state probability (HSPC) is illustrated using two different test systems. The method should prove useful in the decision making process of choosing an appropriate UCRC. The proposed approach extends the application of probabilistic techniques in operating reserve evaluation and determination.
Keywords :
decision making; power generation dispatch; power generation scheduling; probability; risk analysis; wind power plants; decision making process; probabilistic techniques; reserve determination; reserve evaluation; system healthy state probability; unit commitment risk criterion; well-being analysis; well-being indices; wind integrated electric power generating systems; Capacity planning; Load modeling; Power system modeling; Probabilistic logic; Wind power generation; Wind speed; Peak load carrying capability; spinning reserve; unit commitment; well-being analysis; wind power;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2011.2138171
Filename :
5771585
Link To Document :
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