The idea of Internet of Things (IoT) has revolutionized the smart grids by providing the opportunity for remote control and monitoring of the distributed generations (DGs), switches, renewable sources and electrical loads. This study investigates the smart grid concept along with IoT in the automation and optimal energy management of these grids incorporating the high uncertainties of the renewable energy sources and plug-in hybrid electric vehicles (PHEVs) charging demand. A private blockchain technology is developed to make secure data transactions. A novel stochastic structure according to the scenario generation is developed to capture the power randomness of these sources. It is tried to assess the switching effect on the energy management based on remote control in the IoT bed. Moreover, a new optimizer using the social spider algorithm (SSA) is proposed which helps in scheduling the smart grid in an economic way. In addition, a modified method is developed which can suitably enhance the SSA convergence and thus get into more optimal switching and scheduling programs. The proposed model is investigated using an IEEE test system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An IoT-Enabled Stochastic Operation Management Framework for Smart Grids


    Beteiligte:
    Wang, Bo (Autor:in) / Ma, Hengrui (Autor:in) / Wang, Fei (Autor:in) / Dampage, Udaya (Autor:in) / Al-Dhaifallah, Mujahed (Autor:in) / Ali, Ziad M. (Autor:in) / Mohamed, Mohamed A. (Autor:in)


    Erscheinungsdatum :

    2023-01-01


    Format / Umfang :

    2698798 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Artificial Intelligence - Enabled Smart Grids: Enhancing Efficiency and Sustainability

    Rani, A. Jaya Mabel / Srinivasan, A / Shiney, S Arumai et al. | IEEE | 2023



    5G-Enabled IIoT Framework Architecture Towards Sustainable Smart Manufacturing

    Mahiri, Fadwa / Najoua, Aouatif / Ben Souda, Souad | BASE | 2022

    Freier Zugriff

    Smart Grids und eMobilität

    Vetter, Michael | Tema Archiv | 2011


    A CONTROL FRAMEWORK FOR AUTONOMOUS SMART GRIDS FOR SPACE POWER APPLICATIONS

    Csank, Jeffrey / Soeder, James / Carbone, Marc | TIBKAT | 2020