PhD: Data Driven Fault and Stability Analysis with Inverter-Based Assets (Wind, Solar and BESS) University of Strathclyde in United Kingdom

This fully funded PhD position is offered within the EnerHy Centre for Doctoral Training (CDT) at the University of Strathclyde, focusing on data-driven fault and stability analysis with inverter-based assets such as wind, solar, and battery energy storage systems (BESS). The EnerHy CDT is an EPSRC-funded programme dedicated to advancing research and training in renewable energy and hydrogen technologies, with Strathclyde leading the wind and renewable energy components.

The project is supported by Statkraft, a leading provider of grid stability services in Great Britain, and EPSRC. As the grid transitions to higher penetrations of inverter-based resources (IBRs), such as wind, solar, and BESS, the challenge of maintaining system stability increases. Statkraft’s Greener Grid Parks are at the forefront of delivering stability services to replace traditional synchronous generators, utilizing both grid-forming inverters and synchronous compensators.

The successful candidate will collect and analyze operational data from Statkraft’s plants, including wind power facilities, to assess performance under fault conditions and inform technology development. The research will contribute to ensuring grid robustness against blackouts and will involve comparative studies across Statkraft’s operations in the UK, Norway, and Ireland. The project will also engage with ongoing grid code modifications and system strength initiatives.

Applicants should have a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics, or a related field. Essential skills include power systems analysis using EMT models (PSCAD) and RMS (DIgSILENT), as well as expertise in data collection, management, and processing. The studentship is open to both UK and international applicants, with specific deadlines for each group.

The funding package includes full UK tuition fees, a tax-free stipend of £21,805 per annum, and an additional £3,000 per annum for consumables, travel, and research support. The EnerHy CDT also provides a substantial Research Training Support Grant and additional funding for outreach and professional development.

To apply, candidates should use the online application portal or submit their CV, cover letter, and transcripts directly to the supervisors. The position offers a unique opportunity to work at the intersection of renewable energy, data science, and power systems engineering, contributing to the future stability and resilience of the energy grid.