Dimitra Apostolopoulou

Research Fellow

Dimitra is a Research Fellow in the Electricity Research Programme. Before joining OIES she was a Lecturer in the Engineering Department at City, University of London. She was also the Programme Director for the MSc in Renewable Energy and Power Systems Management; a member of the Energy, Sustainability and Net-Zero Research Centre and the Artificial Intelligence Research Centre both at City, University of London.

Previously, she was a Postdoctoral Researcher in the Engineering Department and a Lecturer at Christ Church College at University of Oxford and have worked at the Smart Grid & Technology Department in Commonwealth Edison (ComEd), Chicago, US. She obtained her PhD in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in December 2014 under the supervision of Prof. Peter Sauer and Prof. Alejandro D. Dominguez-Garcia; and her M.S. in 2011 from the same institution under the supervision of Prof. George Gross.

She was a member of the IEEE Power and Water Systems Taskforce; the IEEE P2030.7 Standard for the Specification of Microgrid Controllers Working Group; the IEEE P2030.8 Standard for the Testing of Microgrid Controllers Working Group; and the IEEE Distributed Resource Integration Working Group. She has been actively involved in professional service activities at the IEEE Power and Energy Society, being regular reviewer for highly cited conferences and journals. She was a Co-organiser of Risk and Resilience Day 2023, EPSRC Supergen Energy Networks Hub with Dr. Robin Preece from University of Manchester and she have served as a guest Editor in Sustainability and Energies journals. She have been invited to give seminars at various places, such as Imperial College London and King’s College London, UK; Argonne National Laboratory, US; and MINES ParisTech, France.

Contact

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                    [post_content] => This paper proposes a distributed framework for vehicle grid integration taking into account the communication and physical networks. To this end, we model the electric vehicle behavior that includes times of departure and arrival, state of charge, required energy, and its objectives, e.g., avoid battery degradation and willingness to pay. Next, we formulate the centralised day ahead distribution market which explicitly represents the physical system, supports unbalanced three phase networks with delta and wye connections, and incorporates the charging needs of electric vehicles under a uni- and a bi-directional charging scheme. The solution of the centralised market requires knowledge of electric vehicle information in terms of desired energy, departure and arrival times that electric vehicle owners are reluctant in providing. Moreover, the computational effort required to solve the day ahead distribution market in cases of numerous electric vehicles is very intensive. As such, we propose a distributed solution of the day ahead distribution market clearing mechanism over a time-varying communication network where no private information is exchanged. We also incorporate uncertainty of electric vehicle charging needs and provide guarantees on the probability of constraint satisfaction. We illustrate the proposed vehicle grid integration framework through the 13-bus, 33-bus, and 141-bus distribution feeders.

Apostolopoulou, D., Poudineh, R. and Sen, A., 2022. Distributed Vehicle to Grid Integration Over Communication and Physical Networks With Uncertainty Effects. IEEE Transactions on Smart Grid, 13(1), pp.626-640.
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Latest Publications by Dimitra Apostolopoulou

Ongoing research by Dimitra Apostolopoulou