Modelling of Electric Vehicle Charging and Discharging Profile to Mimic Real life Scenario at Charging Stations

Abstract

Agent-based models (ABM) are a kind of micro scale model that imitate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex process. Netlogo is a real time simulation software tool to design this model with the help of programming and coding. This paper identifies decision variables based on electric vehicles (EVs) charging statistics and the heuristic decisions in EVs charging at public charging stations, commercial place and offices are converted into constraints of (ABM). This unique model is the version of real time charging scenario at the charging stations. With the help of programmed model in Netlogo, the behaviour of EVs user under different real life scenarios are observed and recorded. The proposed system is implemented and designed in Netlogo to test the results.