PhD project: Harmonic management with AI for Enhanced EV penetration in network

Job Description

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.

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

Student requirements 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

Deadline to submit an application: 3/3/2025

If you are interested in submitting an application for this project, please complete an Expression of Interest. forms.office.com/e/0hCcrv2Gkp