DocumentCode
648414
Title
A stochastic unit commitment policy for wind power uncertainty integrating corrective actions
Author
Pereira-Bonvallet, E. ; Suazo-Martinez, C. ; Palma-Behnke, Rodrigo
Author_Institution
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
Due to its natural variability and limited predictability, wind generation compared with other energy resources involves additional uncertainties that lead to challenges to current system planning and operation practices. This paper presents a novel stochastic unit commitment policy, named CORE, to incorporate wind power uncertainty explicitly. The main contribution is the integration of typical intraday operator decisions into the day-ahead scheduling process by relaxing a subset of the non-anticipativity constraints. Fast start unit commitment as well as switching operation modes of combined cycle gas turbines are discussed in detail. The proposal is intended to guide ISO intraday decisions. Numerical results indicate that CORE policy weights better probability of occurrence, increasing market planning efficiency by reducing expected operating costs.
Keywords
combined cycle power stations; decision theory; gas turbines; power generation dispatch; power generation scheduling; stochastic programming; wind power plants; CORE policy weights; ISO intraday decisions; combined cycle gas turbines; day-ahead scheduling process; energy resources; fast start unit commitment; intraday operator decisions; market planning efficiency; nonanticipativity constraints; power system planning; probability of occurrence; stochastic programming; stochastic unit commitment policy; switching operation modes; wind power uncertainty; Generators; Power systems; Schedules; Stochastic processes; Uncertainty; Wind forecasting; Wind power generation; Day ahead unit commitment; operating reserves; stochastic programming; 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.2013.6672994
Filename
6672994
Link To Document