Scenario reduction framework to support efficient and accurate power system reliability analysis
Chapter, Peer reviewed
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2024Metadata
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- Publikasjoner fra CRIStin - SINTEF Energi [1811]
- SINTEF Energi [1953]
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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference – ISGT Europe 2024Abstract
Reliability analysis is an important part of power system planning and operation. Considering all events and scenarios which can have a significant impact on the reliability of supply to customers can lead to a large computational burden. Scenario reduction techniques can alleviate some of these challenges. A framework for reducing a set of original operating states into a set of representative operating states using clustering techniques is presented in this paper. A case study is performed where different scenario reduction approaches are tested using the proposed framework. It is shown that scenario reduction can decrease the time spent on the associated reliability analysis by several orders of magnitude, with a limited accuracy impact. Scenario reduction framework to support efficient and accurate power system reliability analysis
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IEEECopyright
The Authors hold the copyright to the Author Accepted Manuscript. Distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal