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Content Provider | IEEE Xplore Digital Library |
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Author | Orfanos, G.A. Georgilakis, P.S. Hatziargyriou, N.D. |
Copyright Year | 1969 |
Abstract | This paper proposes an efficient approach for probabilistic transmission expansion planning (TEP) that considers load and wind power generation uncertainties. The Benders decomposition algorithm in conjunction with Monte Carlo simulation is used to tackle the proposed probabilistic TEP. An upper bound on total load shedding is introduced in order to obtain network solutions that have an acceptable probability of load curtailment. The proposed approach is applied on Garver six-bus test system and on IEEE 24-bus reliability test system. The effect of contingency analysis, load and mainly wind production uncertainties on network expansion configurations and costs is investigated. It is shown that the method presented can be used effectively to study the effect of increasing wind power integration on TEP of systems with high wind generation uncertainties. |
Sponsorship | IEEE Power Engineering Society |
Starting Page | 1355 |
Ending Page | 1362 |
Page Count | 8 |
File Size | 1156783 |
File Format | |
ISSN | 08858950 |
Volume Number | 28 |
Issue Number | 2 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-01-01 |
Publisher Place | U.S.A. |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Investments Probabilistic logic Wind power generation Uncertainty Planning Security Generators wind power generation Benders decomposition Monte Carlo simulation probabilistic contingency analysis transmission expansion planning |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Energy Engineering and Power Technology |
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