Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system

Takafumi Sekine, Takao Tsuji, Tsutomu Oyama, Frederic Magoules, Kenko Uchida

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Long computation time is required for transient stability analysis of power systems because it can be expressed as combination of differential and algebraic equations. In order to finish the calculation within a practical amount of time, it is an effective approach that applying Parareal method as one of parallel computing technique to transient stability analysis. In the Parareal method, the accuracy of the result is gradually updated through iterative procedures in combination with rough estimation of entire waveform and detailed calculation for each decomposed time window. Based on the Parareal method, the authors have developed a new stability assessment method by using chaos theory. If an operating point is in unstable region, the trajectory has the chaotic property, 'sensitive dependence on initial conditions'. Therefore, it is possible to assess the stability by detecting the convergence characteristics of the estimated waveform at each iterative procedure by the Parareal method. The effectiveness of the proposed method was tested by using IEEJ WEST10 system model.

    Original languageEnglish
    Title of host publication2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
    PublisherIEEE Computer Society
    Pages1177-1182
    Number of pages6
    ISBN (Electronic)9781509043033
    DOIs
    Publication statusPublished - 2016 Dec 22
    Event2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australia
    Duration: 2016 Nov 282016 Dec 1

    Other

    Other2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
    CountryAustralia
    CityMelbourne
    Period16/11/2816/12/1

    Fingerprint

    Parallel processing systems
    Chaos theory
    Trajectories

    Keywords

    • Chaos theory
    • domain decomposition method
    • parallel computing
    • Parareal method
    • transient stability analysis

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

    Cite this

    Sekine, T., Tsuji, T., Oyama, T., Magoules, F., & Uchida, K. (2016). Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system. In 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 (pp. 1177-1182). [7796552] IEEE Computer Society. https://doi.org/10.1109/ISGT-Asia.2016.7796552

    Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system. / Sekine, Takafumi; Tsuji, Takao; Oyama, Tsutomu; Magoules, Frederic; Uchida, Kenko.

    2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society, 2016. p. 1177-1182 7796552.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Sekine, T, Tsuji, T, Oyama, T, Magoules, F & Uchida, K 2016, Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system. in 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016., 7796552, IEEE Computer Society, pp. 1177-1182, 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016, Melbourne, Australia, 16/11/28. https://doi.org/10.1109/ISGT-Asia.2016.7796552
    Sekine T, Tsuji T, Oyama T, Magoules F, Uchida K. Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system. In 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society. 2016. p. 1177-1182. 7796552 https://doi.org/10.1109/ISGT-Asia.2016.7796552
    Sekine, Takafumi ; Tsuji, Takao ; Oyama, Tsutomu ; Magoules, Frederic ; Uchida, Kenko. / Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system. 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society, 2016. pp. 1177-1182
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