- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2022 15 (2)
- Authors
- Bulatov, Yuri N.; Kryukov, Andrey V.; Suslov, Konstantin V.
- Contact information
- Bulatov, Yuri N.: Bratsk State University Bratsk, Russian Federation; ; Kryukov, Andrey V.: Irkutsk State Transport University Irkutsk, Russian Federation; Irkutsk National Research Technical University Irkutsk, Russian Federation; Suslov, Konstantin V.: Irkutsk National Research Technical University Irkutsk, Russian Federation
- Keywords
- cyber-physical power supply systems; distributed generation plants; automatic speed regulator; automatic voltage regulator; predictive control algorithms; modeling
- Abstract
Under the conditions of integration of computing resources into physical processes, we can talk about cyber-physical power supply systems (CPPS). In CPPS, as a rule, distributed generation (DG) plants are used. Due to changes in loads and network topology, it is necessary to optimize the settings of the DG regulators for all operating modes. Due to the significant laboriousness of such procedures, a more efficient approach can be implemented on the basis of controllers with a predictive link. The paper presents a description of the cyber-physical model of the DG plant and a description of a self-adjusting predictive controller for the rotor speed of a synchronous generator. The simulation was performed in the Simulink package of the MatLab system. The effectiveness of the proposed regulator in normal and emergency modes was studied. The results of the experiments showed the advantages and effectiveness of the proposed regulator in comparison with the standard one: the generator rotor speed dip decreased by an average of 34 %, the overshoot decreased by an average of 32 %; when a powerful load was connected, the voltage overshoot decreased by 21 %; when the load was disconnected, the voltage dip decreased by 13 %; in the mode of a short-term short circuit, the dip in the rotation speed of the generator rotor decreased by 1.3 times and the overshoot of this value decreased by 2.6 times
- Pages
- 177–191
- DOI
- 10.17516/1999-494X-0381
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/145433
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).