Abstract
Presently due to various environmental issues, the clean renewable energy is getting more and more attention attracting more people. Example solar power and wind power. But out of all types of clean energy the wind power is generally utilized for charging the clean-emission electric vehicles (EVs). This is one of the important usages of wind energy. In various micro grids, the wind power output from the wind power plants and subsequent charging of Electric Vehicles (EV) may partially cancel each other. For the reduction in wind power variation to the grid stations, the charging of electric vehicle connected at the load end is one of the effective methods. Due to the forecasting error, the demand of EV charging should be scheduled properly as it is very much necessary under the power crisis of wind. The main reason of scheduling is the unpredictability in the wind power and movable EV. So this task is a arduous one, but in other side improving the wind power utilization is very much necessary. In this paper problems arising in robust scheduling is discussed. The various existing models and the solving methods are studied meticulously. In first step, the tested models for the prediction of wind energy are reviewed and the disparity among models are analysed. In second step, the existing tested models are reviewed for the prediction of movable EV and its challenges. In third step, various existing scheduling methods are reviewed so that the load that is charging of electric vehicle and the generated power that is wind source input match each other.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.