scholarly journals Challenges and approaches in modeling wind power plants in electric power systems

2019 ◽  
Author(s):  
Aleksey Suvorov ◽  
Igor Razzhivin ◽  
Arina Evseeva
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Wind Power ◽  
Power Plants ◽  
Electric Power Systems ◽  
Wind Power Plants

scholarly journals Control of a Wind Power Plant with a Synchronous Permanent Magnet Generator and a Magnetic Variator

2021 ◽  
pp. 72-96
Author(s):  
Andrey A. Achitaev ◽  
Konstantin A. Barkhatov ◽  
Sergey N. Udalov,
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Wind Turbine ◽  
Electric Power ◽  
Wind Power ◽  
World Literature ◽  
Power Plants ◽  
Electric Power System ◽  
Wind Power Plant ◽  
Wind Power Plants

Currently, the use of wind power plants with magnetic speed reduction is beginning to develop in the world literature. Features of the application of these systems in combination with a wind power plant allows you to solve the issue of its interface with the electric power system. The controlled flexible connection between the turbine and the generator makes it possible to coordinate the control of the load angle of the synchronous generator. In this paper, we consider a developed controller that provides integrated control of a wind turbine with a magnetic variator with a variable pitch of the blade angle and a variable speed of rotation of the wind turbine. A promising direction for the construction of wind power systems is currently the use of electromagnetic variators as part of wind power plants. This work is devoted to the study of electric power systems that include wind turbines with electromagnetic variators. The variator is built between the wind turbine and the generator, instead of a mechanical gearbox. The high-speed change in the torque of the electromagnetic variator allows you to keep the speed of the generator. Due to the inherent non-linearity of the wind turbine and CVT, a set of operational and emergency modes was defined and then the controller was designed for each operating point. In addition, the aerodynamic torque and effective wind speed are estimated online and a planned variable schedule for the controller implementation is obtained. Was tested by simulating with MATLAB/Simulink

Wind Speed Forecasting Based on FNN in Wind Farm

2014 ◽  
Vol 651-653 ◽  
pp. 1117-1122
Author(s):  
Zheng Ning Fu ◽  
Hong Wen Xie
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Power Systems ◽  
Wind Power ◽  
Power Plants ◽  
Fuzzy Neural Network ◽  
Negative Impact ◽  
Wind Speed Forecasting ◽  
Wind Power Plants ◽  
Fuzzy Neural

Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on a fuzzy neural network (FNN), a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook, the fuzzy neural network (FNN) forecasts the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.

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