Research projects
- Research area
Develop a resilient net-zero energy system
- Institution
Loughborough University
- Research project
Multi-terminal HVDC Control and Operation Strategies for Offshore Wind Farms
- Lead supervisor
- PhD Student
- Supervisory Team
Dr Dong Chen (The National HVDC Centre)
Dr Francisco Gonzalez-Longatt (Senior Lecturer, Loughborough University)
Project Description:
This project is closed to new applicants
This PhD scholarship is offered by the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience; a partnership between the Universities of Durham, Hull, Loughborough and Sheffield. The successful applicant will undertake six-month of training with the rest of the CDT cohort at the University of Hull before continuing their PhD research at Loughborough University. This project is further supported by industry supervision from the National HVDC Centre.
High Voltage Direct Current (HVDC) transmission provides an efficient and reliable solution for delivering offshore wind energy over long distance. Multi-terminal HVDC (MT-HVDC) technology offers key advantages over traditional point-to-point HVDC links, including lower costs, reduced socio-environmental impact, improved system security, and more efficient resource utilisation. However, current HVDC projects are usually developed as single vendor solutions, which has potential supply chain risks and limits flexibility for future expansion.
In close collaboration with the National HVDC Centre, this project will focus on multi-vendor, transnational MT-HVDC networks for offshore wind integration. The project aim is to develop robust control and operation strategies that address the critical challenges of system interoperability and compatibility between different vendor technologies. The developed solution will be validated using advanced hardware-in-the-loop (HIL) test facilities available at the National HVDC Centre, and ensuring the industrial relevance and applicability to real-world industrial systems.
The project outcomes will support the deployment of resilient and scalable MT-HVDC technology, accelerating the integration of offshore wind energy at transnational level. By addressing vendor interoperability, this project will reduce the supply chain risks, enhance energy flexibility and security, and contribute to the net-zero transition.
Training and development
You will benefit from a taught programme, giving you a broad understanding of the breadth and depth of current and emerging offshore wind sector needs. This begins with an intensive six-month programme at the University of Hull for the new student intake, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing Professional Development (CPD), which is embedded throughout your 4-year research scholarship.
Depending on your background, various training is available for the candidate to complete the technical aspects of the PhD.
The following University based courses/workshops are available: Offshore wind fundamentals, power systems, HVDC, power electronics, MATLAB simulation, control theory, stability analysis.
The following training courses are available from the National HVDC Centre: RTDS basics, real-time digital EMT simulation system setup, configuration and testing.
You will have the opportunity to take-up a one-year secondment at the National HVDC centre, and gain hands-on experience with MT HVDC real-time digital EMT simulation facilities and real-world industrial systems.
If you have any queries about this project, please contact Dr Zhengyu Lin (z.lin@lboro.ac.uk)
You may also address queries about the CDT to auracdt@hull.ac.uk.
Watch our short video to hear from Aura CDT students, academics and industry partners:
References & Further Reading
EU Offshore renewable energy, Offshore renewable energy
D. Jovcic, High Voltage Direct Current Transmission: Converters, Systems and DC Grids, Wiley, 2019, DOI:10.1002/9781119566632
D. Chen, Towards HVDC interoperability—Vendor agnostic control architecture and quantifying domain of operating point, IET Generation, transmission & Distribution, 2025, DOI: 10.1049/gtd2.13298
Y. Zhu, Operation optimisation of direct current microgrids toward stability and economy: a model-data co-driven framework. Commun Eng 4, 125, 2025, DOI: 10.1038/s44172-025-00466-7
