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 | |
| 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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Cite this
Dvorkin, Y., Wang, Y., Pandzic, H., & Kirschen, D. (2014). Comparison of scenario reduction techniques for the stochastic unit commitment. IEEE Power and Energy Society General Meeting, 2014-October(October), [6939042]. https://doi.org/10.1109/PESGM.2014.6939042