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Model Reduction in Power Systems Using Krylov Subspace Methods

✍ Scribed by Chaniotis, D.; Pai, M.A.

Book ID
120393547
Publisher
IEEE
Year
2005
Tongue
English
Weight
350 KB
Volume
20
Category
Article
ISSN
0885-8950

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## Abstract Many different techniques to reduce the dimensions of a model have been proposed in the near past. Krylov subspace methods are relatively cheap, but generate non‐optimal models. In this paper a combination of Krylov subspace methods and orthonormal vector fitting (OVF) is proposed. In t