| Student | Vjatšeslav Škiparev |
| Supervisors | Juri Belikov, Eduard Petlenkov |
| Keywords | deep learning, reinforcement learning, industry 4.0, power systems, control systems |
| Degree | PhD |
| Defense date | September 14, 2023 |
Virtual Inertia Control of Microgrids Using Deep Reinforcement Learning Methods
Related publications
- V. Skiparev, R. Machlev, N. Chowdhury, Y. Levron, E. Petlenkov, and J. Belikov, “Virtual Inertia Control Methods in Islanded Microgrids,” Energies, vol. 14, no. 6, pp. 1562, 2021. [DOI] [Bib]
- V. Skiparev, J. Belikov, and E. Petlenkov, “Reinforcement Learning based Approach for Virtual Inertia Control in Microgrids with Renewable Energy Sources,” 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2020. [DOI] [Bib]
- V. Skiparev, J. Belikov, and E. Petlenkov, “NN-SANARX model based control of a water tank system using embedded microcontroller Arduino,” in Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, (IDAACS). IEEE, 2019. [DOI] [Bib]