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UNI

Grid-Forming Wind Turbines for Power System Stability and Resilience

University of Exeter College of Engineering, Mathematics and Physical Sciences
✓ Fully Funded 🎓 Electrical Engineering 🎓 Energy Technologies simulation renewable energy grid-forming wind turbines power system stability control engineering power system resilience

Explore how grid-forming control can enhance the stability and resilience of power grids through wind turbine systems. Investigate critical control strategies and system interactions to support future renewable-heavy electricity networks.

AI-generated overview

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Why This Research Matters

This research supports the global transition to low-carbon electricity by enabling wind turbines to actively maintain grid stability and resilience. Understanding and applying grid-forming control will help future power systems operate securely amidst increasing renewable penetration, reducing reliance on fossil fuels and enhancing energy security.

Grid-Forming Control Wind Energy Power System Stability Renewable Integration Advanced Control

Project Description

Project Overview

This PhD studentship at the University of Exeter's Penryn Campus focuses on research at the intersection of wind energy, power systems, and advanced control. The project addresses how future electricity networks can maintain stability and resilience as renewable generation grows, especially through grid-forming (GFM) control of wind turbines. GFM control is essential for low-inertia power systems and enables wind turbines to contribute to system-level services such as frequency regulation, voltage support, and fault recovery.

What You Will Do

You will investigate the application of GFM control techniques to wind turbine systems, examining their interactions with power networks and their role in supporting grid stability under normal and fault conditions. The research can be tailored toward system-level analysis, control design, and simulation-based investigations using tools such as MATLAB/Simulink, PSCAD, PowerFactory, or Python.

Expected Outcomes

Outcomes will include a deeper understanding of how grid-forming wind turbines can enhance power system security and resilience, providing actionable insights into control strategies that enable renewable generation to support critical grid services in evolving electricity networks.

Why This Matters

The increasing penetration of renewable energy requires innovative control methods to ensure reliable and secure power system operation. This research tackles key challenges in integrating wind turbines as active grid-forming resources, which is vital to the sustainable transition to low-carbon energy systems.

Entry Requirements

Applicants should hold or expect to obtain a first-class or upper second-class honours degree (or equivalent) in electrical engineering, renewable energy, control engineering, or a closely related discipline. Experience with modeling or simulation tools (e.g., MATLAB/Simulink, PSCAD, PowerFactory, Python) is desirable.

How to Apply

For further information regarding this studentship and to apply, please visit: https://www.exeter.ac.uk/study/funding/award/?id=5854

Eligibility

UK/Home
EU
International

Supervisor Profile

DS
Dr Shuyue Lin
University of Exeter, College of Engineering, Mathematics and Physical Sciences

Dr Shuyue Lin specializes in power systems and renewable energy integration, focusing on grid-forming control of wind turbines to enable stable and resilient low-inertia power grids. Her work addresses advanced control techniques within power engineering and contributes to interdisciplinary renewable energy research at the University of Exeter.

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