Optimal spinning reserve for wind power integrated system using CVaR

Author

Houhe Chen ; Yiming Kong

Author_Institution

Northeast Dianli Univ., Jilin, China

fYear

2014

fDate

Aug. 31 2014-Sept. 3 2014

Firstpage

1

Lastpage

4

Abstract

Traditional determination of spinning reserve method has been unable to cope with the effects of randomness and intermittent of wind power output on the system reliability. This paper presents the optimization model of spinning reserve capacity based on Conditional Value at Risk (CVaR) method. Simulation results of IEEE RTS-30 system validated that the reserve is in relation to the confidence level and some uncertain factors. Analysis not only quantitative reflects the risk caused by the randomness of wind power output, but also obtain the system spinning reserve capacity accurately, and verifies the validity and rationality of this method.

Keywords

optimisation; wind power plants; CVaR method; IEEE RTS-30 system; conditional value at risk; optimal spinning reserve; optimization model; spinning reserve capacity; wind power integrated system; wind power output; Optimization; Reactive power; Spinning; Uncertainty; Wind power generation; Wind speed; conditional value at risk; confidence level; spinning reserve; wind;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo

Conference_Location

Beijing

Print_ISBN

978-1-4799-4240-4

Type

conf

DOI

10.1109/ITEC-AP.2014.6940815

Filename

6940815