A Method Estimating Plug’s Power Usage Pattern for Public Electric Vehicle Charging Stations within Multi-Uncertainty Parameters in Indonesia Urban Area

Abstract

: The uncertainty parameters driven by diverse user behavior, battery types, and charger instruments of electric mobility (e-mobility) would pose risk challenges to existing grid assets' adequacy and reliability issues. Using the pseudorandom of the Monte Carlo method, this research constructs an estimation framework to generate power intake of public electric vehicle charging stations (EVCSs) for a typical 20kV|0.4kV distribution grid urban area. This study suggested that those multi-uncertainties potentially threaten daily operations with a significant impact in low voltage grids with voltage magnitude dropping to 0.884 p.u. Nevertheless, recognizing and alerting to the future-changing and performance-preserving electric grid infrastructure should raise awareness as gradual employment is outpacing the national target of the energy transition.