The number of distributed energy resources are increasing in modern power systems. Vehicle-to-grid power transfer is envisioned to become another type of distributed energy resource and support energy needs of the grid under various circumstances. This paper investigates the stability and power quality of a parallel grid-connected inverter system for vehicle-to-grid application using modeling and simulation. The grid-connected inverter includes a three-phase voltage source inverter, LCL output filter, and closed-loop control. In this research, stability analysis of grid-connected inverters is investigated by assessing closed loop poles of system. The dynamic simulation results obtained from MATLAB Simulink are used to demonstrate the importance of controller gain and grid conditions on system stability and power quality for a parallel grid-connected inverter system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Study of stability and power quality of parallel grid-connected inverters for vehicle-to-grid application


    Beteiligte:
    Wooyoung Choi, (Autor:in) / Morris, Casey T. (Autor:in) / Di Han, (Autor:in) / Sarlioglu, Bulent (Autor:in)


    Erscheinungsdatum :

    2015-06-01


    Format / Umfang :

    2236046 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Convex Optimization-based Control Design for Parallel Grid-Connected Inverters

    Kammer, Christoph / D'Arco, Salvatore / Endegnanew, Atsede Gualu et al. | BASE | 2018

    Freier Zugriff

    DC-Link Loop Bandwidth Selection Strategy for Grid-Connected Inverters Considering Power Quality Requirements

    Zarei, Seyed Fariborz / Mokhtari, Hossein / Ghasemi, Mohammad Amin et al. | BASE | 2020

    Freier Zugriff

    Multirate Resonant Controllers for Grid-Connected Inverters with Harmonic Compensation Function

    Xie, Chuan / Zhao, Xin / Li, Kai et al. | BASE | 2019

    Freier Zugriff