خلاصة:
Wind is a good source of energy. Power generation in a variable speed wind turbine is an interesting topic. Because the wind energy converter systems have maximum operation at any speed. But this system needs its parameters to calculate the optimal turbine speed. In this research, a neural network based controller based on a backup machine is provided to control the power of the wind power converter system. In this study, the system for converting wind energy into a two-way inductive generator, connected to the grid with a rotor and a stator. The input of the control system is the difference between the desired generator speed and its actual speed. The optimal speed is the speed at which the generator receives the maximum power from the wind turbine. After performing simulations and designing a suitable neurologist for the system, it was found that the neural control method has a very good function in controlling the wind turbine system..
ملخص الجهاز:
After performing simulations and designing a suitable neurologist for the system, it was found that the neural control method has a very good function in controlling the wind turbine system..
The neural network input is the wind velocity and required power and its output must be the estimation of voltage and optimized frequency couple that is fed to SVM in order to transfer the reference power P”: from the generator to the load.
P figure 1: optimized frequency for power generation 90!) E F”; 11 24-00 during different velocities wind We consider the neural network used for Fatal” as a SVM network with 100 neurons in the hidden layer.
2-2 Using neural network for control active power generation by DFIG Figure 5: Velocity of the wind / The above figure indicates that the velocity of wind changes abruptly in 0.
{مراجعه شود به فایل جدول الحاقی} Table 1: Comparison of active power tracing error for non-linear controllers As it can be seen, the employed neural control based SVM shows mediocre performance compared to other method during the initial fractional time.
Moreover, it was considered that the doubly fed induction generator's model is available and the structure of the wind turbine is known.
Modeling and control of a wind turbine driven doubly fed induction generator.
An improved sensorless decoupled power control scheme of grid connected variable speed wind turbine generator.
Modeling and control of DFIG-based variable-speed wind-turbine.
A vector-controlled doubly-fed induction generator for a variable-speed wind turbine application.