Title :
Wind integrated power system well-being analysis
Author :
Wangdee, Wijarn ; Billinton, Roy ; Wenyuan Li
Author_Institution :
BC Hydro & Power Authority, Vancouver, BC, Canada
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;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672282