Prediction of Electric Vehicle Charging Load with Uncertainty using Probabilistic Methodology

Abstract

The development of Electric Vehicle technology in a region will bring forward new challenges in the reliable operation of the distribution network. Accuracy and reliability in EV load forecasting can effectively comprehend EV load on a large scale. Compared to other load forecasting techniques, there are very few published literature with different EV load prediction. This paper presents a probabilistic approach to predict localized EV load subject to operational and social constraints. The power system under consideration is the urban location of Kochi, Kerala. The uncertainty associated with the input values and the generated EV load has been quantified and presented graphically. This method can be used to predict the variability in the output owing to the variable nature of the input variables used for analysis.