PhD project in Advanced data-driven control of active distribution networks
PhD @University of Southampton posted 2 days agoJob Description
About the project
Traditional circuit theory, grounded in transfer functions and state-space models, fall short at addressing the complexities of modern, bidirectional power networks. This project investigates data-driven control methodologies tailored for active networks, with a particular focus on coordinated control strategies, distributed controllers, and their practical implementation on power converter devices.
Traditional circuit theory and network analysis have largely relied on transfer function and state-space models. However, this approach is increasingly inadequate due to shifts in network dynamics. Modern power networks are now bidirectional, driven by decentralised energy sources and prosumers who both consume and produce electricity. This evolution presents challenges for networks originally designed for unidirectional power flow.
The rapid integration of distributed generation and electric vehicles (EVs) into medium-voltage distribution networks—marked by high complexity and stringent real-time response requirements—further highlights the need for new operational methodologies. Smart grid technologies such as phasor measurement units (PMUs) have been deployed to collect real-time phasor data for decision-making, but their potential for full automation remains unexplored.
This raises a critical question: Can traditional network models be entirely replaced by data-driven approaches? While both models and real-time data aim to provide network insights, applying control techniques that achieve complete automation with model-based rigour remains challenging. This includes ensuring stability via Lyapunov methods or using dissipativity theory to maintain robust operation within strict stability margins. Moreover, these techniques must be implementable and experimentally validated on power converter devices to ensure compatibility with technical constraints.
This project aims to explore data-driven optimal control for active distribution networks, advancing data-driven control theory. The research will focus on developing coordinated control strategies, designing data-driven distributed controllers, and experimentally implementing power converter interfaces to demonstrate practical feasibility.
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent.
It is essential to have a strong background in:
- power systems
- power electronics
- control theory
Fees and funding
We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.
Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.
To learn about funding opportunities visit our Doctoral College scholarships and bursaries information.
Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
How to apply
You need to:
- choose programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences
- select Full time or Part time
- choose the relevant PhD in Engineering
- add name of the supervisor in section 2
Applications should include:
- a personal statement
- your CV (resumé)
- 2 academic references
- degree transcripts to date
Contact us
Faculty of Engineering and Physical Sciences
If you have a general question, email our doctoral college (feps-pgr-apply@soton.ac.uk).
Project leader
For an initial conversation, email Dr Jonathan Mayo-Maldonado (J.Mayo@soton.ac.uk).
