Comparison of scenario reduction techniques for the stochastic unit commitment

Author

Dvorkin, Yury ; Yishen Wang ; Pandzic, Hrvoje ; Kirschen, Daniel

Author_Institution

Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA

fYear

2014

fDate

27-31 July 2014

Firstpage

1

Lastpage

5

Abstract

A number of scenario reduction techniques have been proposed to make possible the practical implementation of stochastic unit commitment formulations. These scenario-reduction techniques aggregate similar scenarios based on their metrics, such as their probability, hourly magnitudes, or the cost resulting from each scenario. This paper compares these different scenario reduction techniques in terms of the resulting operating cost and the amount of time required to complete computation of the stochastic UC. This comparison is based on Monte Carlo simulations of the resulting generation schedules for a modified version of the 24-bus IEEE-RTS.

Keywords

Monte Carlo methods; power generation dispatch; power generation scheduling; 24-bus IEEE-RTS; Monte Carlo simulations; generation schedules; operating cost; scenario reduction techniques; stochastic UC; stochastic unit commitment formulations; Generators; Linear programming; Monte Carlo methods; Schedules; Stochastic processes; Uncertainty; Wind forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

PES General Meeting | Conference & Exposition, 2014 IEEE

Conference_Location

National Harbor, MD

Type

conf

DOI

10.1109/PESGM.2014.6939042

Filename

6939042