As the scale of ship power systems expands, it becomes increasingly necessary to quickly and accurately assess the transient stability of the system to ensure its safe operation. In recent years, data-driven artificial intelligence (AI) methods have gained attention for their speed, accuracy, and strong generalization capabilities. Given the current limitations in utilizing existing specialized software to perform precise transient calculations for ship power systems, this study establishes a comprehensive mathematical model of the ship power system. Time-domain simulations under various disturbances are conducted to build a dataset for training neural networks. A neural network classification model combining a denoising autoencoder (DAE) and a long short-term memory (LSTM) network is developed to achieve real-time transient stability assessment of ship power systems. To address the decline in model performance under different operating conditions and the time-consuming process of re-collecting data and retraining models, transfer learning (TL) is employed for the transient stability assessment of ship power systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Data-Driven Transient Stability Assessment Method for Ship Power Systems


    Beteiligte:
    Song, Ziwei (Autor:in) / Lu, Fang (Autor:in)


    Erscheinungsdatum :

    10.10.2024


    Format / Umfang :

    483454 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Simple Model for Data-Driven Ship Power Prediction

    Ambiel, José / Leclercq, Christophe / Cochennec, Michel | TIBKAT | 2024

    Freier Zugriff

    Data-driven submarine cable protection ship anchor damage risk assessment method

    ZHANG XIA / YU ENKE / SHI LINGBIN et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Study on Transient Stability of Ship-shore Alternating AC-DC Hybrid Power System

    Liu, Jun / Chi, Fuhai / Liu, Yong et al. | IEEE | 2023


    Suspended sail power-driven ship

    SUN MING / SHANG WENXUAN | Europäisches Patentamt | 2022

    Freier Zugriff

    Ship stability - A research strategy

    Bird, H. / Morrall, A. | Tema Archiv | 1982