Staff Profile

Natalia is an EPSRC Doctoral Prize Fellow in the School of Engineering, Newcastle University and works within the Electrical Power research group.

Driven by the goals to meet net zero carbon emissions by 2050, her research aims to provide solutions to drive and facilitate this transition. Her current research interests include integration of low carbon technologies (e.g. heat pumps, electric vehicles) at electricity networks, resilience of multi-energy systems (including hydrogen) and mathematical optimisation. Within other projects, Natalia is part of the Supergen Energy Networks Hub project - Phase 2 .

She received her PhD degree in Electrical Power Systems from the School of Engineering, Newcastle University and the Diploma degree from the Department of Electrical and Computer Engineering, School of Engineering, University of Patras, Greece. Her PhD was part of the National Centre for Energy Systems Integration (CESI) research project, and was funded by the EPSRC (Engineering and Physical Sciences Research Council) and Newcastle University.

Natalia co-founded in 2019 and has co-led since the Optimisation Group Webinars within the Power Systems and Energy Storage group of Newcastle University, which organises regular webinar presentations on energy systems optimisation with invited guest speakers from both UK and international institutions.

• Articles

  • Sarantakos I, Peker M, Zografou-Barredo N, Deakin M, Patsios C, Sayfutdinov T, Taylor P, Greenwood D. A Robust Mixed-Integer Convex Model for Optimal Scheduling of Integrated Energy Storage – Soft Open Point Devices. IEEE Transactions on Smart Grid 2022, E-Pub ahead of Print.
  • Nikkhah S, Sarantakos I, Zografou-Barredo N, Rabiee A, Allahham A, Giaouris D. A Joint Risk and Security Constrained Control Framework for Real-Time Energy Scheduling of Islanded Microgrids. IEEE Transactions on Smart Grid 2022, 13(5), 3354 - 3368.
  • Zografou-Barredo NM, Patsios C, Sarantakos I, Davison P, Walker SL, Taylor PC. MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model. IEEE Transactions on Smart Grid 2021, 12(3), 1867-1879.
  • Sarantakos I, Zografou-Barredo NM, Huo D, Greenwood DM. A Reliability-Based Method to Quantify the Capacity Value of Soft Open Points in Distribution Networks. IEEE Transactions on Power Systems 2021, 36(6), 5032-5043.
  • Sarantakos I, Greenwood DM, Zografou-Barredo NM, Vahidinasab V, Taylor PC. A probabilistic method to quantify the capacity value of load transfer. International Journal of Electrical Power and Energy Systems 2020, 123, 106238.

• Conference Proceedings (inc. Abstracts)

  • Zografou-Barredo NM, Peker M, Greenwood DM. The Shuffled Conic Power Flow Equations: An Improved Angle-Inclusive Conic Model. In: IEEE Power & Energy Society General Meeting (PESGM 2023). 2023, Orlando, FL, USA: IEEE.
  • Zografou-Barredo N-M, Patsios C, Walker SL, Davison P. Multi-energy microgrid scheduling: A multivector demonstrator case study. In: 25th International Conference on Electricity Distribution (CIRED). 2019, Madrid, Spain.