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: Contribution to journal › Conference article › peer-review

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)
Article number	6939042
Journal	IEEE Power and Energy Society General Meeting
Volume	2014-October
Issue number	October
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

ASJC Scopus subject areas

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

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10.1109/PESGM.2014.6939042

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AB - 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.

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Comparison of scenario reduction techniques for the stochastic unit commitment

Abstract

ASJC Scopus subject areas

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