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Content Provider | IEEE Xplore Digital Library |
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Author | Ruiz, P.A. Philbrick, C.R. Zak, E. Cheung, K.W. Sauer, P.W. |
Copyright Year | 1969 |
Abstract | Uncertainty in power systems operations has been traditionally managed by multistage decision making and operating reserve requirements. A familiar example of multistage decisions is day-ahead unit commitment and real-time economic dispatch. An alternate approach for managing uncertainty is a stochastic formulation, which allows the explicit modeling of the sources of uncertainty. This paper compares stochastic and reserve methods and evaluates the benefits of a combined approach for the efficient management of uncertainty in the unit commitment problem. Numerical studies show that unit commitment solutions obtained for the combined approach are robust and superior with respect to the traditional approach in terms of both economics and reliability metrics. |
Sponsorship | IEEE Power Engineering Society |
Starting Page | 642 |
Ending Page | 651 |
Page Count | 10 |
File Size | 295929 |
File Format | |
ISSN | 08858950 |
Volume Number | 24 |
Issue Number | 2 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-05-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Uncertainty Power system management Stochastic processes Economic forecasting Power generation economics Power system modeling Energy management Power system economics Robustness Load forecasting unit commitment Economic dispatch operating reserve optimization Monte Carlo simulation reliability stochastic programming |
Content Type | Text |
Resource Type | Article |
Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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