Assessing the Impact of Electric Vehicle Charging on Distribution Network

This study explores the impact of electric vehicle (EV) integration on the distribution network of the Education City Community Housing (ECCH) in Qatar, with a particular emphasis on voltage stability, line loading, and transformer loading. Leveraging DIgSILENT PowerFactory and Quassi Dynamic Simulation models, EV charging logic was developed to simulate varying penetration levels of EVs, reflecting real-world charging behaviors. Real-time pPhasor measurement unit (PMU) data was incorporated to assess the consequences of uncontrolled EV charging on voltage drop and the load distribution across the network. To enhance the analytical flexibility, a custom graphical user interface is designed and integrated with DIgSILENT using Python, allowing for real-time manipulation of EV penetration levels and enabling comprehensive analysis of multiple charging scenarios. The results underscore the significant risks associated with high levels of EV penetration, such as voltage instability and alterations in load patterns, offering critical insights into the need for advanced grid management strategies.