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Harmonic management with AI for Enhanced EV penetration in network

This project is fully funded

Increasing adoption of EVs and microgeneration is enabling Ireland’s sustainable energy transition. However, the dynamic nature of micro-generation and EV charging introduces disturbances to the electric network, such as harmonics, that are detrimental to the grid and grid-connected equipment. The technical aim of this project is to evaluate the feasibility of optimising EV charging in conjunction with battery-aided microgeneration to support scalable fast charging, focussing on apartments, homes and office car parks use-cases. The research will explore methods to understand and predict network imbalances, network hosting capacity, and battery systems, and develop controller models to optimise these parameters in real-time, minimising the upgrade needed to the electric network.

Masters of Electrical Engineering with 1st class or 2.1
Bachelor of Electrical Power Engineering with 1st Class
Student ideally should have some background in power systems operation, optimization,
and EV charging scheduling, power electronics, and control.
If there is any prior publication, please submit with full CV, full transcripts and
names and email details of 2 referees Shortlisted candidates will be called for an interview.

Funding Agency: SEAI

Student Stipend per annum: € 25000

Materials & Travel Budget per annum:  €1500

Fees covered by the funding per annum: € 5500

Duration of Funding: 36 months

 

If you are interested in submitting an application for this project, please complete an Expression of Interest.

 https://forms.office.com/e/0hCcrv2Gkp

Register your interest
Supervisor

Dr. Malabika Basu

Award Level

PhD

Mode of Study

Full Time

Funding Details

Funded

Deadline to Submit Applications

3/3/2025

Location

https://www.tudublin.ie/explore/faculties-and-schools/engineering-built-environment/electrical-and-electronic-engineering/about/#