Modelling implications & impacts of going green with EV in Singapore with multi-agent systems

As a result of globalization, fossil fuels are being depleted at an alarming rate. Singapore, ranked 9th in the world as net importer of fuels [1], will have to find a more efficient way to utilize them. Over the years, Singapore has been switching its energy dependency on the cheaper natural gas [2]. However, its transportation still depends heavily of petroleum. One of the options to reduce the dependency is to switch to the electric vehicles (EV). However, the impacts and implications of introducing EV into Singapore to its energy distribution system is highly desired before actual deployment, which is very challenging primarily due to lacks of high quality data from real-life scenarios. In this paper, we propose to overcome this issue by using multi-agent system (MAS) based simulation technology to quantify the impacts of EV charging to the electricity system of Singapore.