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- W2119837462 abstract "This paper proposes a technique for constructing dynamical equivalent networks of large-scale linearized power systems by using the Second-Order Arnoldi (SOAR) algorithm. Since the power system can be described by second-order swing equations, it is desired to construct a reduced-order model which can preserve its second-order structure. Inspired by the SOAR algorithm for single input systems, we will extend it with considering multiple inputs. Both block Arnoldi methods and global Arnoldi methods are investigated. System data of the reduced second-order system are obtained by the congruence transformation. Simulations about 50-machine power systems are performed to demonstrate the accuracy of the dynamical equivalent networks." @default.
- W2119837462 created "2016-06-24" @default.
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- W2119837462 date "2009-05-01" @default.
- W2119837462 modified "2023-09-26" @default.
- W2119837462 title "Dynamical equivalencing of large-scale power systems using Second-Order Arnoldi algorithms" @default.
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- W2119837462 doi "https://doi.org/10.1109/iscas.2009.5118177" @default.
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