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• W2098751504 abstract "An advanced time-domain representation suitable for accelerated periodic, steady-state solutions of large-scale electric power systems is introduced in this paper. The power system, which is three-phase in nature, is modeled by a set of ordinary differential equations. In addition to the all-important transmission lines' geometric imbalances, frequency-dependency and long-line effects, the transformers' saturation characteristics are also incorporated. In order to provide realistic initial conditions, the data needed for the modeling of the electric system is obtained from power-flow studies. The time domain solution of the overall set of differential equations is computed very reliably using a powerful blend of Newton methods and parallel processing techniques. Whereas the computation of the periodic steady-state solution is obtained with an acceleration procedure based on Newton methods and the Poincare/spl acute/ map, the application of parallel processing techniques using multithread programming speeds up further the time taken by the acceleration process to get to the periodic, steady-state solution. To show the effectiveness and versatility of the newly developed environment, transient and steady-state analysis are carried-out for a three-phase version of the IEEE 118-node system, where nonlinearities are incorporated in the form of the transformers' saturation characteristics and a static var compensator." @default.
• W2098751504 created "2016-06-24" @default.
• W2098751504 creator A5022441817 @default.
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• W2098751504 date "2004-11-01" @default.
• W2098751504 modified "2023-09-23" @default.
• W2098751504 title "Periodic Steady-State Analysis of Large-Scale Electric Systems Using PoincarÉ Map and Parallel Processing" @default.
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• W2098751504 doi "https://doi.org/10.1109/tpwrs.2004.831250" @default.
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