Renewable energy carriers such as wind or solar radiation turn out to be serious alternatives to fossil and nuclear energy production. However, due to its fluctuating characteristics its application within power grids leads to new challenges for system operators. That includes the intermediate storage of the energy which necessitates the installation of new systems or approaches. One of them is the usage of electric vehicle batteries which can be aggregated to virtual power plants. In this paper we propose an energy management algorithm which schedules the optimal charging and discharging times of an electric vehicle battery according to the expected fraction of regenerative energy within the power grid. At the same time the constraints of other stakeholders (driver, charging station infrastructure provider) are taken into account, enabling the algorithm to support the user in his charging decisions upon his daily mobility requirements. In the course of the paper we provide a detailed description of the algorithm, simulation results based on this approach and discuss its application in a field test we have performed, recently.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Wind power-aware vehicle-to-grid algorithms for sustainable EV energy management systems


    Contributors:


    Publication date :

    2012-03-01


    Size :

    1731817 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    POWER PRODUCING AIRBORNE WIND ENERGY SYSTEMS FOR GRID SUPPORT

    NIELSEN THOMAS S BJERTRUP | European Patent Office | 2021

    Free access

    Wind Energy Conversion Systems - Grid Interconnection and Energy Storage

    Ohsawa, Y. | British Library Online Contents | 1996



    Degradation Aware Predictive Energy Management Strategy for Ship Power Systems

    Vedula, Satish / Bijaieh, Mehrzad Mohammadi / Boateng, Ellis Oti et al. | IEEE | 2021


    Safety-Aware Hybrid Control of Airborne Wind Energy Systems

    Vertovec, Nikolaus / Ober-Blöbaum, Sina / Margellos, Kostas | AIAA | 2024