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• W174958385 abstract "In this chapter, we discuss two mathematical approaches for model reduction of power systems which do not use coherency information. The advantages of these approaches lie in the ability to handle large systems. The Krylov and balanced truncation methods take into account system reachability and observability in obtaining reduced-order models of the external system, and thus would perform better than methods based simply on eigenvalues. In the case of balanced truncation approach, a sensitivity analysis is carried out. Through the eigenvalue information, we also establish a connection of these methods with the coherency- based approaches." @default.
• W174958385 created "2016-06-24" @default.
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• W174958385 date "2013-01-01" @default.
• W174958385 modified "2023-09-27" @default.
• W174958385 title "Krylov Subspace and Balanced Truncation Methods for Power System Model Reduction" @default.
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• W174958385 doi "https://doi.org/10.1007/978-1-4614-1803-0_6" @default.
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