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Content Provider | IEEE Xplore Digital Library |
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Author | Kimball, L.M. Clements, K.A. Pajic, S. Davis, P.W. |
Copyright Year | 2003 |
Description | Author affiliation: Dept. of Math. Sci., Bentley Coll., Waltham, MA, USA (Kimball, L.M.) |
Abstract | This paper describes an algorithm for the solution of the stochastic optimal power flow problem. The stochastic OPF minimizes the total cost of a base case operating state plus the expected cost of recovery from contingencies such as line or generator outages. The algorithm presented is based on a relaxation method in which constraints are modeled only as they become active. This method efficiently models all transmission constraints using a rank-one update to the distribution matrix. Numerical examples illustrate the dramatic reduction in problem size achieved in practice by constraint relaxation. They also confirm that the expected cost of a dispatch that accommodates failures according to their probability of occurrence is less than the cost of a preventive operating mode. |
Sponsorship | IEEE Power Eng. Soc |
File Size | 332183 |
File Format | |
ISBN | 0780379675 |
DOI | 10.1109/PTC.2003.1304714 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-06-23 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Stochastic processes Load flow Cost function Relaxation methods Power system planning Power system analysis computing Performance loss Power generation Constraint optimization Couplings |
Content Type | Text |
Resource Type | Article |
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