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Parallel-in-Time Power System Simulation Using a Differential Transformation based Adaptive Parareal Methodopen access

Authors
Liu, Y.Park, B.Sun, K.Dimitrovski, A.Simunovic, S.
Issue Date
Jan-2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Adaptation models; Computational modeling; Convergence; Differential transformation; Mathematical models; Numerical models; parallel algorithms; Parareal; Power system dynamics; power system simulation; power system stability; Power system stability
Citation
IEEE Open Access Journal of Power and Energy, v.10, pp.61 - 72
Journal Title
IEEE Open Access Journal of Power and Energy
Volume
10
Start Page
61
End Page
72
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/43330
DOI
10.1109/OAJPE.2022.3220112
ISSN
2687-7910
Abstract
For parallel-in-time simulation of large-scale power systems, this paper proposes a differential transformation based adaptive Parareal method for significantly improved convergence and time performance compared to a traditional Parareal method, which iterates a sequential, numerical coarse solution over extended time steps to connect parallel fine solutions within respective time steps. The new method employs the differential transformation to derive a semi-analytical coarse solution of power system differential-algebraic equations, by which the order and time step, as well as the window length with a multi-window solution strategy, can adaptively vary with the response of the system. Thus, the new method can reduce divergences and also speed up the overall simulation. Extensive tests on the IEEE 39-bus system and the Polish 2383-bus system have verified the performance of the proposed method. Author
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