Site-Specific Load Modeling for Public Car Park EV Charging Infrastructure

Electric vehicles (EVs) have experienced accelerated adoption globally in recent years, and although Australia is lagging behind much of the world, sales have been doubling each year. This rapid growth is driving a corresponding expansion of EV charging infrastructure. High-power EV charging facilities, especially in concentrated settings such as airports, universities, hospitals, and shopping centres, introduce significant and unpredictable loads on the power distribution grid. If not properly managed, these fast-varying charging demands can lead to local network stress, voltage fluctuations, and capacity issues. This paper aims to develop a flexible and data-driven load modelling framework for EV charging demand in large public facilities. The modelling approach combines real-world usage data with stochastic simulation techniques to capture the variability in EV arrival times, battery states, charging behaviours, and infrastructure constraints. The comprehensive methodology for EV load forecasting in high-density urban settings can be updated with newer data and assumptions in order to support a reliable, efficient, and sustainable transition to EVs and electric mobility.