Robust Neural Control of Wind Turbine Based Doubly Fed Induction Generator and NPC Three Level Inverter

Abstract

This paper presents dynamic modeling and control of Doubly Fed Induction Generator (DFIG) based on wind turbine systems, where the stator of DFIG is directly connected to the grid and the rotor was fed by a three level PWM NPC inverter. The active and reactive power control of the DFIG is based on the feedback technique by vector control method by using a classical regulator of Proportional-Integral (PI) type which allows us, in association with the looping of powers, to obtain an efficient and robust system. This approach is a very attractive solution for devices using DFIG as wind energy conversion systems; because, it is a simple, practical implementation, commonly applied in the wind turbine industry and it presents very acceptable performance, However, this control approach has certain limitations and has several causes, vector command with NPC three-level inverter pulse width modulation (PWM) is used to control the reactive power and active power of the generator. Then, use the neural network design to replace the traditional proportional-integral (PI) controller. Finally, the Matlab/Simulink software is used for simulation to prove the effectiveness of the command strategy.

RETRACTED: Optimization of doubly-fed induction generator (DFIG) based wind turbine to achieve maximum power generation with imperialist competitive algorithm (ICA)

“…If we consider the expression to the right of Equation 5 to 8 as the flux and derivative of the stator and rotor fluxes and omit the resistance voltage, the stator and rotor d q axes fluxes can be considered according to Equations 5, 6, 7 and 8, respectively 29,30 : In the above relations, λ d s , 0.25em λ q s , 0.25em λ d r , 0.25em λ q r are the stator and rotor flux of dq axes, respectively. By ignoring the 0 axis of this model and placing the relation 5 to 8 in relation 1 to 4, the relations 9, 10, 11 and 12 can be obtained 13,14,28,31 : Relationships 5 to 12 of the fourth-order model of DFIG, which is generally used in wind turbine systems with an induction generator. Equations related to torque, active and reactive stator powers using the above equations can be considered according to Equations 13.14 and 15.…”

“…In the above relations, λ ds , λ qs , λ dr , λ qr are the stator and rotor flux of dq axes, respectively. By ignoring the 0 axis of this model and placing the relation 5 to 8 in relation 1 to 4, the relations 9, 10, 11 and 12 can be obtained 13,14,28,31 :…”

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

“…The mathematical formulation of DFIG closely resembles that of a conventional induction motor, with the key difference being the inclusion of a non-zero voltage across the rotor. Park transformation framework of DFIG is widely referenced in academic literature [8]- [10]. The principal equations governing the stator and rotor dynamics of DFIG within the Park coordinate system are outlined as (1).…”

“…The variables 𝑘 𝑖 and 𝑘 𝑝 signify the integral and proportional gains, correspondingly. The controlled transfer function is denoted as 𝐵/𝐴, with 𝐴 and 𝐵 being defined by (10).…”

“…) and 𝐵 = 𝑀𝜔 𝑠 𝜓 𝑠 (10) The parameters for the regulator are established through a pole compensation strategy [11]. The response time for the regulated system is designed to be 10 milliseconds, deemed adequate for the intended application, as a shorter duration may lead to transients with significant overshoot.…”