| نویسندگان | Hossein Torkaman,Ali Keyhani |
| نشریه | IET Renewable Power Generation |
| شماره صفحات | 1228-1238 |
| شماره سریال | 14 |
| شماره مجلد | 7 |
| ضریب تاثیر (IF) | 2.635 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2020 |
| رتبه نشریه | ISI |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| نمایه نشریه | JCR،Scopus |
چکیده مقاله
The increasing contribution of wind turbine generators (WTGs) in power grids requires the control of wind generators
and their impacts on the load frequency control (LFC). In this study, a detailed strategy for the control of WTGs in a smart power
grid for LFC is presented. The WTGs are controlled by applying fuzzy logic controller with three inputs from wind velocity,
frequency deviations, and wind velocity changes per second. The control takes into account for each WTG, an improved pitch
angle controller to assist in fast damping of frequency deviations due to sudden high wind. Also, a feedback signal from
frequency deviations, with the participation factor determined by a smart learning-based intelligent controller (BELBIC) is used
to determine rotor speed deviations. The controller facilitates frequency stability, and lower variations in the output power of
conventional units. Simulation results, performed on a test system with three interconnected zones, validate the effectiveness of
the proposed control strategy.
لینک ثابت مقاله