Revisiting network reconfiguration in the era of unpredictable ev charger integration

Abstract

An expanded network of electric vehicle (EV) chargers is required due to the rapid uptake of EVs. The voltage profile may be disturbed by the unanticipated integration of these chargers into distribution networks, potentially resulting in system instability. There is currently no study that offers a methodology for evaluating the voltage responsiveness of various network configurations in relation to EV chargers, even though prior research has sought to improve network parameters in the face of distributed generation and network reconfiguration (NR). The problem of choosing the best network configuration remains unsolved due to this gap. In order to address this, our study analyzes a distribution network in all of its possible configurations, taking into account the possible effects of electric vehicle chargers placed in all possible locations, in the Python programming language using the Pandapower network analysis library. The results of this study will give system administrators useful information for choosing the most reliable network configuration in advance of the unpredictable integration of EV chargers into their distribution networks.