timursaifutdinov

Timur Saifutdinov

Professor Petr Vorobev

In 2011, Timur graduated with honors from Tomsk Polytechnic University (TPU), Institute of Cybernetics with major in automation and control. During the undergraduate education, he spent 1 term studying at Czech Technical University (CTU) in Prague and did his BSc internship at the Robotics laboratory at the Technical University of Munich (TUM).  In 2013, Timur received his Master’s degree with honors in the field of Control in Technical Systems from Saint-Petersburg State Technical University, Department of Automatic Control Systems. He did his MSc internship at the Nissan manufacturing plant in the UK. Before starting the academic career at Skoltech, Timur had one year of fieldwork experience working as adjuster-engineer at power substations, and two years of experience working as a senior engineer in the R&D department developing monitoring and control systems for power system purposes.

In 2019, Timur finished the Engineering Systems PhD program at Skoltech and started working as a researcher. During his PhD study, he was working on design and control problems in power systems in collaboration with the Institute of Control Problems of Russian Academy of Science and Newcastle University in the UK. Timur’s PhD thesis title is called Optimal Siting, Sizing and Technology Selection of Energy Storage Systems for Power System Applications. In this work, Timur has developed a sophisticated degradation model of Li-ion battery storage, which can be effectively used in optimization problems.

At present, Timur is doing research on hybrid energy storage systems and stacking energy storage grid services. Hybrid energy storage systems comprise energy storage technologies of different nature, which can be effectively used as a whole to exploit their individual advantages and compensate for the flaws of each other. Stacking grid services allows exploiting the flexibility of energy storage to increase their benefit from day to day use. Due to the regulatory and operating constraints, stacking services is a nontrivial task, which requires careful planning and should be considered on a case by case basis.

Hybrid Energy Storage and advanced methods for storage units control in power grids

Journal publications:
1. V. Chirkin, A. Gorbunov, M. Goubko, V. Korepanov, N. Korgin, T. Sayfutdinov, A. Sharova, T. Vaskovskaya, “Gaming Experiments for Analysis of Pricing Mechanisms at Electricity Markets,” IFAC-PapersOnLine, vol. 49, no. 32, pp. 13–18, 2016.
2. T. Sayfutdinov, C. Patsios, J. W. Bialek, D. M. Greenwood, and P. C. Taylor, “Incorporating variable lifetime and self-discharge into optimal sizing and technology selection of energy storage systems,” IET Smart Grid, vol. 1, no. 1, pp. 11–18, 2018.
3. T. Sayfutdinov, C. Patsios, P. Vorobev, E. Gryazina, D. M. Greenwood, J. W. Bialek, P. C. Taylor, “Degradation and Operation-Aware Framework for the Optimal Siting, Sizing and Technology Selection of Battery Storage,” IEEE Trans. Sustain. Energy, Early Access.
4. T. Sayfutdinov, M. Ali, O. Khamisov, “Alternating Direction Method of Multipliers for the Optimal Siting, Sizing, and Technology Selection of Li-ion Battery Storage,” Electric Power Systems Research, under review.

Conference proceedings:
1. T. Sayfutdinov, P. Lyons, and M. Feeney, “Laboratory evaluation of a deterministic optimal power flow algorithm using Power Hardware in the Loop,” in IET Conference Publications, 2016, pp. 1–4.
2. Vanin A.S., Sayfutdinov T.R., Tulskiy V.N. “Centralized Voltage Control System in Intelligent Distribution Networks,” (In Russ.) Electroenergetica glazami molodezhi-2016 = Power System through Youth’s eyes-2016, 2016, pp. 169-172.
3. Sayfutdinov T.R., Chirkin V.G. “Research on Demand Elasticity at Electricity Markets based on Business Simulation Games,” (In Russ.) Vserossiyskaya shkola-conferencia molodih uchenih «Upravlenie Bolshimi Sistemami» = Russia-wide school-conference of young scientists «Control in Large Systems», 2016, pp. 477-487
4. T. Sayfutdinov, “Optimal Siting, Sizing and Technology Selection of Energy Storage Systems,” in Proceedings of the Skoltech Energy Ph.D. Seminar, 2018, pp. 20–29.