Abstract
The increasing share of wind power in power systems requires changes in the operating procedures. Day-ahead scheduling no longer has to fit only with slow and easily predictable changes in load, but also with more abrupt changes in wind power. Procedures for dealing with wind uncertainty, such as stochastic, robust, and interval unit commitment algorithms, typically assume a one-hour resolution. Since wind generation can change significantly within an hour, shorter optimization intervals might be required to adequately reflect this uncertainty. This paper compares the stochastic, interval and robust unit commitment formulations with resolutions of 1 hour and 15 minutes. The schedules produced by these various algorithms are compared using a Monte Carlo simulation procedure on a modified version of the 24-bus IEEE-RTS.
Original language | English (US) |
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Article number | 6939548 |
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 |
Keywords
- Unit commitment
- interval optimization
- robust optimization
- stochastic optimization
- wind uncertainty
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering