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• W2969772097 startingPage "938" @default.
• W2969772097 abstract "Dynamic simulation is vitally important in power system analysis, but traditional approaches based on numerical integration over small time steps are time-consuming. Also, the Newton-Raphson method suffers from difficulty in convergence when solving nonlinear algebraic equations. This paper proposes a novel dynamic simulation approach based on holomorphic embedding. By obtaining a high-order approximation of system dynamics, it achieves a much larger time step and thus enhances the computational efficiency significantly. In addition, the new approach avoids non-convergence issues in solving algebraic equations, which improves robustness. The approach includes flexible modeling of synchronous generators and controllers, and we propose a method for modeling generator coordinate transformations. The approach is tested on the IEEE 39-bus, 10-generator system and a Polish 2383-bus, 327-generator system. The results demonstrate promising computational efficiency and satisfactory numerical robustness for the analysis of large-scale power systems." @default.
• W2969772097 created "2019-08-29" @default.
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• W2969772097 date "2020-03-01" @default.
• W2969772097 modified "2023-10-18" @default.
• W2969772097 title "Efficient and Robust Dynamic Simulation of Power Systems With Holomorphic Embedding" @default.
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• W2969772097 doi "https://doi.org/10.1109/tpwrs.2019.2935040" @default.
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