![Junaid Khalid](https://profiles-cardiff.imgix.net/attachments/7633?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Junaid Khalid
(he/him)
Teams and roles for Junaid Khalid
Marie Curie Early Stage Researcher
Publication
2026
- Uddin, M. H. et al. 2026. Accurate and computationally efficient aggregated modelling of offshore wind farms for grid compliance. IEEE Transactions on Sustainable Energy 17 (3), pp.3138 -3154. (10.1109/tste.2026.3666091)
- Liang, J. et al. 2026. Ancillary services from HVDC offshore wind farms and protection. In: Hashmi, M. ed. Reference Module in Materials Science and Materials Engineering. Elsevier(10.1016/B978-0-443-29210-1.00086-8)
2025
- Uddin, M. H. et al. 2025. Fast and accurate aggregated modelling for wind farms using gaussian mixture model. Presented at: Energy Conversion Congress & Expo Europe (ECCE Europe) Birmingham, United Kingdom 1-4 September 2025. Proceedings of the Energy Conversion Congress & Expo Europe. IEEE. , pp.1-6. (10.1109/ecce-europe62795.2025.11238822)
- Khalid, J. et al. 2025. Self-tunning converter control of pmsg-based wind turbine using multi-agent deep reinforcement learning. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892442)
- Uddin, M. H. et al. 2025. Reliability and cost assessment of AC/DC networks for offshore wind farm integration. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892590)
Articles
- Uddin, M. H. et al. 2026. Accurate and computationally efficient aggregated modelling of offshore wind farms for grid compliance. IEEE Transactions on Sustainable Energy 17 (3), pp.3138 -3154. (10.1109/tste.2026.3666091)
Book sections
- Liang, J. et al. 2026. Ancillary services from HVDC offshore wind farms and protection. In: Hashmi, M. ed. Reference Module in Materials Science and Materials Engineering. Elsevier(10.1016/B978-0-443-29210-1.00086-8)
Conferences
- Uddin, M. H. et al. 2025. Fast and accurate aggregated modelling for wind farms using gaussian mixture model. Presented at: Energy Conversion Congress & Expo Europe (ECCE Europe) Birmingham, United Kingdom 1-4 September 2025. Proceedings of the Energy Conversion Congress & Expo Europe. IEEE. , pp.1-6. (10.1109/ecce-europe62795.2025.11238822)
- Khalid, J. et al. 2025. Self-tunning converter control of pmsg-based wind turbine using multi-agent deep reinforcement learning. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892442)
- Uddin, M. H. et al. 2025. Reliability and cost assessment of AC/DC networks for offshore wind farm integration. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892590)
Biography
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Junaid Khalid is pursuing his Ph.D. at Cardiff University under the Marie Curie project ADOreD (Accelerating the Deployment of Offshore Wind using DC technology). He is also affiliated with Offshore Renewable Energy Catapult (OREC) as an industrial PhD researcher. His research objectives are to develop models and advanced controls of large offshore wind turbines for grid support and set up real-time simulation platforms together with test facilities to implement compliance testing such as high/low voltage ride-through and grid support.
Junaid has both academic and industry experience. He worked as a lab engineer at the university and gained practical experience at an electric supply company. During his master's program, he also served as a research assistant, contributing to several collaborative research projects.
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