Snabbfakta
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- London
Ansök senast: 2024-11-15
Research Assistant or Research Associate in Stability of IBR-dominated Grids
Applications are invited for up to five Research Associates (RA) within the Control and Power Research Group for a new research initiative in the analysis, models, tools, and technologies for stability assurance of power systems with a high penetration of inverter-based resources (IBRs). The RAs will collaboratively carry out fundamental and applied research in stability assurance for IBRs and engage with industrial stakeholders to identify and solve practical problems met in the UK and global power systems. The Research Associates will be expected to deliver data, models, algorithms, and reports to our industrial sponsors including National Grid ESO, and disseminate the research outcomes in international conferences and journal publications. The research activity includes, but is not limited to, the following topics: (1) data-driven and digital-twin based methods for stability analysis and oscillation tracing; (2) system representation and model reduction for accelerated simulation and compliance studies; (3) creation of GB-like real-world test cases for high-fidelity validation and demonstration in laboratory emulation or via simulation.
You will carry out research in data- and model-driven stability analysis for IBR-rich power systems, with a focus on addressing real-world issues in collaborations with National Grid ESO and other industrial stake holders. You will work as a team, together with other members, to tackle the big challenges in power system stability. Your work will combine theoretical development of stability analysis for uncertain systems; use of data-driven modelling; verification through time-domain simulation and further verification through hardware-in-the-loop real-time simulation.
You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics (or equivalent) for appointment at Research Associate level and have previous experience in research and innovation in IBRs and power systems. You should have deep knowledge on IBR control, modelling, and physical properties, as well as power system stability analysis and operation. Good understanding of control theory, including system identification and frequency domain analysis are expected. Good experimental or simulation skills are expected.Industrial experience is desired but not mandatory.
