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Power Systems

Power Systems

Power Systems covers a diverse set of topics, ranging from electricity generation to transmission and distribution including demand side management. This research field addresses many of the current challenges ranging from climate change to depletion of limited resources, ultimately aiming for a sustainable energy future. Power systems research enables a future with vast amounts of renewable generation including wind, photovoltaic and other emerging technologies. Modern power systems have undergone major transformations in recent years following the quest for their decarbonisation, decentralisation, and digitisation. Through a collaborative approach, the Power Systems Group performs cutting edge research within Royal Holloway University of London as well as with external contacts from industry and academia.

Driven by climate change and limitations on the availability of fossil fuels, there have been major developments in research on power systems. New technologies have been developed for the generation, transmission and distribution systems. These include renewable generation such as wind and photovoltaic generators, voltage source converters for ACDC power conversion, smart metering and demand side management. Research in power systems concentrates on “keeping the lights on”, maintaining the system frequency around 50Hz, reducing CO2 emissions and the use of fossil fuels and creating a sustainable future in the way we use and generate electricity.

Dr Stefanie Kuenzel Group leader, Power Systems, Renewables, HVDC, Smart Meters
Dr Onyema Nduka

Decarbonised Electricity Network Modelling, Operations and Control; Power Quality and Massive Data Analytics; Smart Grid; Active Distribution Networks; Microgrids


Research Students

Bilal Ahmad

PhD student
Amir Adib PhD student


Past Power Systems group graduates & research associates

 Xiaoyu Zhang

PhD student     

 Mazen Nagib

MSc by Research
 Ruth Blackwell      PDRA    

 David Brand

MSc by Research



Simulation of Power System with Renewables


[1] X. -Y. Zhang, J. -R. Córdoba-Pachón, P. Guo, C. Watkins, and S. Kuenzel, "Privacy-Preserving Federated Learning for Value-Added Service Model in Advanced Metering Infrastructure", IEEE Transactions on Computational Social Systems, vol. 11, no. 1, pp. 117-131, Feb. 2024.

[2] Nduka O., “Upper control limit calculation for bad data detection in spatiotemporal power quality massive data and its application to harmonic load flow study”, International Journal of Electrical Power & Energy Systems. 2024 Jul 1;158:109938.

[3] D. Buil-Gil, S. Kemp, S. Kuenzel, L. Coventry, S. Zakhary, D. Tilley, and J. Nicholson, "The digital harms of smart home devices: A systematic literature review", Computers in Human Behavior, vol. 145, Aug. 2023, Art no. 107770.

[4] Zhang, XY., Kuenzel, S., Guo, P. et al., “A hybrid data-driven online solar energy disaggregation system from the grid supply point”, Complex Intell. Syst. 9, 3695–3716, 2023.

[5] H. -X. Gao, S. Kuenzel, and X. -Y. Zhang, "A Hybrid ConvLSTM-Based Anomaly Detection Approach for Combating Energy Theft", IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022, Art no. 2517110.

[6] Yu Y, Nduka OS, Nazir FU, Pal BC, “A Three-Stage Stochastic Framework for Smart Electric Vehicle Charging”, IEEE Access. 2022 Dec 28;11:655-66.

[7] X. Zhang, C. Watkins, C. Cheong Took, and S. Kuenzel, "Privacy Boundary Determination of Smart Meter Data Using an Artificial Intelligence Adversary", IEEE Transactions on Electrical Energy Systems, Jul. 14, 2021.

[8] Yu Y, Nduka OS, Pal BC, “Smart control of an electric vehicle for ancillary service in DC microgrid”, IEEE Access. 2020 Oct 28;8:197222-35.

[9] Nduka OS, Ahmadi AR, “Data‐driven robust extended computer‐aided harmonic power flow analysis”, IET Generation, Transmission & Distribution. 2020 Oct;14(20):4398-409.

[10] Nduka OS, Yu Y, Pal BC, Okafor EN, “A robust augmented nodal analysis approach to distribution network solution”, IEEE Transactions on Smart Grid. 2019 Oct 21;11(3):2140-50.

To apply for an MSc by Research or PhD within the Power Systems Group, please email the Head of Group, Dr Kuenzel at with details about your research interests as well as a summary of your academic qualifications (a brief one to two page CV will be useful) and if you are self-funded or require funding. Current funding opportunities for PhDs in the department are advertised under PhD research opportunities.

After you have liaised with Dr Kuenzel, you will be able to register an account on Royal Holloway Direct to formally submit your application. More details on the application process can be found here.

For more information on postdoctoral, fellowship and visiting opportunities, please email the Head of Group, Dr Kuenzel at with your CV and a brief statement of your research interest.

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