Investigation of the operation of a self-adjusting predictive controller of the rotor speed of a synchronous generator on a cyber-physical model of a turbogenerator plant
Автор: Bulatov Yuri N., Kryukov Andrey V., Suslov Konstantin V.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Рубрика: Исследования. Проектирование. Опыт эксплуатации
Статья в выпуске: 2 т.15, 2022 года.
Бесплатный доступ
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.
Cyber-physical power supply systems, distributed generation plants, automatic speed regulator, automatic voltage regulator, predictive control algorithms, modeling
Короткий адрес: https://sciup.org/146282422
IDR: 146282422