Title :
Optimal spinning reserve for wind power integrated system using CVaR
Author :
Houhe Chen ; Yiming Kong
Author_Institution :
Northeast Dianli Univ., Jilin, China
fDate :
Aug. 31 2014-Sept. 3 2014
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;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6940815
