Abstract :

The Prospective Spread Of Electric Vehicles (EV) And Plug-in Hybrid Electric Vehicles Leads To The Need For Fast Charging Rates. Higher Charging Rates Lead To High Power Demands, Which Cannot Be Supported By The Electrical Grid. Thus, The Use Of On-site Sources Alongside The Electrical Grid For EV Charging Is A Rising Area Of Interest. In This Dissertation, A Photovoltaic (PV) Source Is Used To Support High Power EV Charging. However, The PV Output Power Has An Intermittent Nature That Is Dependent On The Weather Conditions. Thus, Battery Storage Is Combined With The PV In A Grid-tied System, Providing A Steady Source For On-site EV Charging In A Renewable Energy Based Fast Charging Station. Renewable Energy Based Fast Charging Stations Should Be Cost Effective, Efficient, And Reliable To Support The High Charging Rates Demanded When A Large Number Of EVs Are Connected To The Electrical Grid. However, Fast Charging Stations, Especially Super-fast Charging Stations May Stress Power Grid With Potential Overload At Peaking Time, Sudden Power Gap And Voltage Sag. This Project Discusses The Detailed Modeling Of A Multiport Converter Based EV Charging Station Integrated With PV Power Generation And Battery Energy Storage System. This Study Introduced The Concept Of Charging Electric Vehicles Using A Local Hybrid Solar/wind Power System. The PV And Wind Farms Are Linked To EV Stations Using Power Converters. Furthermore, In The Time Of Peak Demand, The Proposed System Can Be Connected To The Grid To Balance The Load Demand. In This Project, The Control Scheme And Combination Of PV Power Generation, EV Charging Station And Battery Energy Storage (BES) Provides Improved Stabilization Including Power Gap Balancing, Peak Shaving And Valley Filling, And Voltage Sag Compensation. Keywords: Hybrid Renewable Energy Systems, Solar And Wind Power Challenges ,Opportunities, Policy Implications,

Published:

24-6-2025

Issue:

Vol. 25 No. 6 (2025)

Page Nos:

835-838

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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