Fair energy allocation and dynamic pricing for smart charging of electric vehicles  

Supervisors 

A/Prof. Markus Wagner (Monash University) 

The project

Recent advances in electric vehicles (EVs) charging highlight the growing need to integrate fairness, real-time pricing, and grid constraints into a unified framework. 
 
The rapid adoption of EVs is transforming the energy and transportation sectors, providing a sustainable alternative to traditional fuel-powered vehicles. However, as EVs become more widespread, they introduce significant challenges related to power grid stability, demand fluctuations, and equitable energy distribution. Without mechanisms to ensure fairness, some EV users may consistently access lower-cost electricity, while others are forced to charge at higher prices, resulting in charging inequality and congestion. 

Dynamic pricing is a powerful tool for balancing supply and demand. By adjusting prices in real time, the grid can incentivise EV users to charge during off-peak periods, reduce stress on network assets, and lower operating costs. This research will accelerate the fair and efficient integration of EVs into Australia’s distribution networks by equipping aggregators and charge-point operators with a Fair Energy Allocation Model and a Dynamic Pricing Model. Simulations will be produced using historical wholesale price data and realistic parking-lot traffic patternsto assess the effectiveness of the proposed models in reducing peak loads, lowering user costs, and improving fairness under a variety of real-world operating scenarios. 

By developing a fairness-driven energy allocation framework in conjunction with dynamic pricing mechanisms, this research will contribute to every customer having equitable access to energy while prices adapt to prevent congestion and optimise consumption.

Learn more about this project and other RACE for 2030 PhDs here.