Supervisors
Ali Moradi Amani RMIT
The project
This project proposes a novel dynamic planning mechanism for allocating electric vehicle charging stations within distribution networks. By incorporating future traffic models, the project aims to identify the optimal location and size of EV charging infrastructure to meet the evolving needs of a growing electric vehicle fleet. The project aims to provide a future-proof design that accounts for projected traffic patterns and mobility trends in planning deployment. It also identifies ideal locations and capacities for infrastructure as well as a balanced amount and control algorithm of battery energy storage systems to compensate the EV charging demand, considering grid constraints and maximizing network efficiency.
Status
- Completed
Student
Expected Start Date
June 2024
Expected End Date
May 2026
Project Code
0825
Related Projects
Communication strategies for accelerating the electrification of Australian transport
Supervisors Elizabeth Lester, Monash University The project As household electrification becomes an increasingly prioritised measure for addressing climate change impacts, gaps have emerged between...
The role of trust in consumer adoption of EVs in emerging markets
Supervisors Dr Yessy Arnold, Monash University, Indonesia The project This study will investigate the psychological factors influencing trust in EV technology and charging infrastructure...
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...
Aligning nudges with motivations to encourage sustainable consumer behaviour towards clean transport
Supervisors Dr Adrian Camilerri (UTS) The project Behavioural nudges have been shown to boost EV adoption by up to 15%. This project looks to build upon this by testing personalised interventions...