Personal profile
Overview
I am a Postdoctoral Research Associate at the University of Manchester, where I work as a part of the core research team of the Supergen Energy Network Hub to develop approaches for advanced monitoring and control of multi-energy systems using novel sensor, ICT and Big Data approaches. My focus is on development of methods for advanced state-estimation for dynamic security assessment of integrated multi-energy networks, integration of signals from different types of sensors into a data acquisition platform, and development of efficient methods for real-time Big Data processing and knowledge extraction in future energy networks.
I received the B.Sc, M.Sc and Ph.D degrees in Electrical Engineering from Faculty of Technical Sciences Čačak, Serbia in 2011, 2013 and 2019, respectively.
In 2014, I was Teaching Assistant in power systems with the Faculty of Technical Sciences Čačak, Serbia, where I was with the Department of Power Engineering until 2019. So far, my research interests include state estimation of active electric distribution networks, integration of distributed energy resources, faults analysis and power system protection.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
Research output
- 13 Article
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Probabilistic flexibility assessment of shared charging stations for electric vehicles
Nukic, E., Levi, V., Cetenovic, D. & Vojnovic, N., 2025, In: Sustainable Energy, Grids and Networks. 44Research output: Contribution to journal › Article › peer-review
Open Access -
Probabilistic model of electric vehicles’ flexibility in residential areas
Nukic, E., Levi, V., Vojnovic, N. & Cetenovic, D., 2025, In: International Journal of Electrical Power & Energy Systems. 168Research output: Contribution to journal › Article › peer-review
Open Access -
Variational Bayesian Unscented Kalman Filter for Active Distribution System State Estimation
Cetenovic, D., Zhao, J., Levi, V., Liu, Y. & Terzija, V., 1 Jan 2025, In: IEEE Transactions on Power Systems. 40, 1, p. 476 - 491 15 p., 3406399.Research output: Contribution to journal › Article › peer-review
Open AccessFile30 Downloads (Pure) -
A Robust Distribution Network State Estimation Method Based on Enhanced Clustering Algorithm: Accounting for Multiple DG Output Modes and Data Loss
Levi, V., Yu, Y., Jin, Z., Ding, L., Cetenovic, D. & Terzija, V., 2024, In: International Journal of Electrical Power & Energy Systems. 157, p. 1-23 23 p., 109797.Research output: Contribution to journal › Article › peer-review
Open Access -
Primal-Dual Decomposed State Estimation for Multi-Energy Systems Leveraging Variational Bayesian Approximation
Feng, Y., Levi, V., Cetenovic, D., Zhao, J., Taylor, P. & Terzija, V., 1 May 2024, In: IEEE Transactions on Smart Grid. 15, 3, p. 2696-2709 14 p., 3328114.Research output: Contribution to journal › Article › peer-review
Open AccessFile60 Downloads (Pure)
Activities
- 1 Invited talk
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Simplified Method for Online Assessment of Process Noise Covariance Matrix in Distribution System State Estimation
Cetenovic, D. (Speaker) & Feng, Y. (Speaker)
20 Jun 2022Activity: Talk or presentation › Invited talk › Research