Comparison of scenario reduction techniques for the stochastic unit commitment

Yury Dvorkin; Yishen Wang; Hrvoje Pandzic; Daniel Kirschen

doi:10.1109/PESGM.2014.6939042

Comparison of scenario reduction techniques for the stochastic unit commitment

Yury Dvorkin, Yishen Wang, Hrvoje Pandzic, Daniel Kirschen

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	2014 IEEE PES General Meeting / Conference and Exposition
Publisher	IEEE Computer Society
Edition	October
ISBN (Electronic)	9781479964154
DOIs	https://doi.org/10.1109/PESGM.2014.6939042
State	Published - Oct 29 2014
Event	2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: Jul 27 2014 → Jul 31 2014

Publication series

Name	IEEE Power and Energy Society General Meeting
Number	October
Volume	2014-October
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2014 IEEE Power and Energy Society General Meeting
Country/Territory	United States
City	National Harbor
Period	7/27/14 → 7/31/14

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/PESGM.2014.6939042

Cite this

Dvorkin, Y., Wang, Y., Pandzic, H., & Kirschen, D. (2014). Comparison of scenario reduction techniques for the stochastic unit commitment. In 2014 IEEE PES General Meeting / Conference and Exposition (October ed.). [6939042] (IEEE Power and Energy Society General Meeting; Vol. 2014-October, No. October). IEEE Computer Society. https://doi.org/10.1109/PESGM.2014.6939042

Comparison of scenario reduction techniques for the stochastic unit commitment. / Dvorkin, Yury; Wang, Yishen; Pandzic, Hrvoje; Kirschen, Daniel.

2014 IEEE PES General Meeting / Conference and Exposition. October. ed. IEEE Computer Society, 2014. 6939042 (IEEE Power and Energy Society General Meeting; Vol. 2014-October, No. October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dvorkin, Y, Wang, Y, Pandzic, H & Kirschen, D 2014, Comparison of scenario reduction techniques for the stochastic unit commitment. in 2014 IEEE PES General Meeting / Conference and Exposition. October edn, 6939042, IEEE Power and Energy Society General Meeting, no. October, vol. 2014-October, IEEE Computer Society, 2014 IEEE Power and Energy Society General Meeting, National Harbor, United States, 7/27/14. https://doi.org/10.1109/PESGM.2014.6939042

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Comparison of scenario reduction techniques for the stochastic unit commitment

Abstract

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