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A tree based classifier for transient stability prediction following island splitting

Abstract

An unexpected failure or outage of one or multiple system components can cause a new operational situation that requires remedial actions. An important remedial action to model correctly is islanding. Finding the transient stability of an island is computationally heavy, and it may be necessary with a trade-off between speed and accuracy in the classification of island stability. This is especially the case if one has to perform a large number of simulations.In this paper, a decision tree based ensemble method is used to predict the stability of islands in the power system during a contingency event. A comparison study shows that the trained model can contribute with a large reduction in time spent on the transient stability assessment, while being substantially more accurate than a static power flow simulation.

Category

Academic chapter/article/Conference paper

Client

  • Research Council of Norway (RCN) / 294754

Language

English

Affiliation

  • SINTEF Energy Research / Energisystemer
  • SINTEF Digital / Mathematics and Cybernetics

Year

2022

Publisher

IEEE

Book

2022 17th International Conference on Probabilistic Methods Applied to Power Systems - PMAPS

ISBN

978-1-6654-1211-7

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