Analysis of Future Probabilistic placement of Electric Vehicle Chargers on Real Residential Feeder

Electrification of transportation sector and provision of effective and well-designed charging infrastructure to vehicle owners is an important task. The following document depicts the modelling of a an 11kV Gulshan-e-Iqbal residential feeder from the data provided by Lahore Electric Supply Company (LESCO) of Pakistan. Feeder modelled provides power to Gulshan Iqbal Block of Allama Iqbal Town in Lahore. Analysis of voltage profiles, line loading percentages and secondary transformer loading has been performed after 14.1% penetration of level 1 and level 2 EV chargers. Nodes having weak hosting capacity have been highlighted. The violations of critical parameters caused by increased grid load due to installation of possible EV load has been addressed with feasible solutions. The data provided was in Synergi, a licensed software, which redirected our research to use of PandaPower in Jupyter Notebook which is an open-source software. The use of OpenDSS and PyCharm were also part of our research work while extracting the exact data to perform following studies. Our studies can help to improvise the planning in placement of EV load in the grid and highlight the problematic nodes which needs reinforcement.