The renewable energy sources (RESs) have become essential part of the modern grid. The numerous benefits of the RESs are helping for better grid reliability, stabilization, and flexibility. Advancement of power electronics devices and control algorithms encouraging the penetration level of the RESs to increase day by day. However, low inertia systems are still not capable to take care of the voltage and frequency of a system. As per IEEE 1547, after the tripping of the central generator/source, all the connected distributed generators (DGs) in a particular network should be immediately disconnected from point of common coupling. In this work, tri-layered neural network (TLNN) has been used to detect the islanding situations in a solar-wind DG based micro-grid. It has been seen that the method is giving promising results for the islanding detection and method is scalable too.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Anti-islanding Scheme for AC-microgrids


    Beteiligte:


    Erscheinungsdatum :

    09.08.2023


    Format / Umfang :

    542640 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Fast Search for Islanding Strategy Based on Self-Adaptive System Islanding

    Wang, C. / Zhang, B. / Li, P. | British Library Online Contents | 2009


    Hybrid Islanding Protection Scheme for V2G Connected System with Local Load

    Patro, Kamakshi / Nain, Jyotsna / Chakrabarti, Abanishar et al. | IEEE | 2021