DocumentCode :
647752
Title :
Wind integrated power system well-being analysis
Author :
Wangdee, Wijarn ; Billinton, Roy ; Wenyuan Li
Author_Institution :
BC Hydro & Power Authority, Vancouver, BC, Canada
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
It has been well recognized that highly variable wind generating capacity behaves considerably different from conventional generation sources. There is still, however, a need to profoundly understand the impact of wind power intermittency on the overall system reliability. A system well-being analysis is utilized in this paper to effectively capture both adequacy and security aspects of a power system containing large amounts of wind power generation. A sequential Monte Carlo simulation technique was used in the study as it has ability to accurately incorporate the chronology of intermittent wind generation behavior and to depict the system well-being index probability distributions in addition to the expected values. The study results are illustrated by considering the replacement of a conventional generating unit by wind power generation in the IEEE-RTS.
Keywords :
Monte Carlo methods; power generation reliability; power system security; statistical distributions; wind power plants; IEEE-RTS; generation sources; intermittent wind generation behavior chronology; power system reliability; power system security; sequential Monte Carlo simulation technique; system well-being index probability distributions; variable wind generating capacity; wind integrated power system well-being analysis; wind power generation; wind power intermittency; Indexes; Power systems; Probability distribution; Reliability; Security; Wind farms; Wind power generation; Expected value; generation adequacy and security; probability distribution; system well-being analysis; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672282
Filename :
6672282
Link To Document :
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