A Novel Constant Output Powers Compound Control Strategy for Variable-Speed Variable-Pitch Wind Turbines

Ren, Hongwei; Zhang, Hao; Zhou, Huanhui; Zhang, Ping; Ma, Xin Lei; Deng, Guang; Hou, Bin

doi:10.1109/access.2018.2801458

Cited by 6 publications

(5 citation statements)

References 46 publications

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“…Wind energy, as a renewable energy technology, has received wide attentions [2]- [4]. And variable-speed wind turbine (VSWT) becomes more and more popular due to its high-quality power and high-efficiency power production [5], [6]. In the operating range from cut-in to rated wind speeds, the VSWT can capture maximum wind energy by optimally adjusting the rotor speed.…”

Section: Nomenclature υ Ementioning

confidence: 99%

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An Effective Wind Speed Estimation Based Extended Optimal Torque Control for Maximum Wind Energy Capture

et al. 2020

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Section: Nomenclature υ Ementioning

confidence: 99%

“…For the system described in (5), the aerodynamic torque T a is considered as the disturbance input, the following DOB [39] is given by…”

Section: A Disturbance Observer Based Aerodynamic Torque Estimationmentioning

confidence: 99%

An Effective Wind Speed Estimation Based Extended Optimal Torque Control for Maximum Wind Energy Capture

et al. 2020

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“…where J w is the moment of inertia of the wind wheel, T D is the resistance torque, s 1 , s 2 , s 3 are the resistance torque coefficients, γ is the gear transmission ratio, T m is the torque transmitted to the gear by the high speed shaft. The transmission system model near the high-speed shaft side of the generator is as follows [13].…”

Section: Wind Turbine System Modellingmentioning

confidence: 99%

“…where p is the pole number, ω 1 is the synchronous angular velocity, s is the slip ratio, U 1 is the stator voltage, U 2 is the rotor voltage, α 12 is the voltage phase difference between the stator and rotor, r 1 is the resistance of the stator winding, x 1σ is the leakage reactance of the stator winding, r 2 is the resistance of the rotor winding to the stator side, x 2σ is the leakage reactance of the rotor winding to the stator side, and x m is the excitation reactance. The electromagnetic power of the doubly-fed generator is calculated as follows [13].…”

Section: Wind Turbine System Modellingmentioning

confidence: 99%

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

et al. 2020

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When wind speeds are above the rated speed of variable speed variable pitch wind turbines, pitch angles are changed to keep output powers and rotor speeds at their rated values. For wind turbines with nonlinear and complex structure, conventional PID variable pitch controller is difficult to achieve precise control. In this paper, a variable pitch controller combining back-propagation(BP) neural network with PID (BP-PID) is proposed. By real-time detecting the deviation of the rotor speeds, the BP neural network with self-learning and weighting coefficient correction capability is used to adjust the PID parameters online and further to achieve the optimal combination of the PID parameters. Considering various uncertain disturbances and parameter changes on the mechanical components of the wind turbines, an active disturbance rejection pitch controller of the wind turbines is designed based on BP-PID algorithm. Combined with a tracking differentiator, an extended state observer (ESO) is employed to observe the state and disturbance of the system. In addition, in order to compensate the BP-PID variable pitch controller, nonlinear state error feedback control laws are designed by configuring nonlinear structures according to the state deviation between the extended state observer and the tracking differentiator. The simulation results show that the variable pitch active disturbance rejection control (ADRC) based on BP-PID can effectively estimate the system states and disturbances. And the proposed controller has good dynamic performance and strong robustness. INDEX TERMS Wind turbine, pitch control, BP-PID, active disturbance rejection control, extended state observer.

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“…There are several non-linear and intelligent control techniques that are also reported in literature to control the VSWT such as feedback linearisation control [14], sliding mode control (SMC) [15], second-order SMC [16], quasi-SMC [17], backstepping controller [18,19], and intelligent controller [20]. In [14], feedback linearisation controller is demonstrated for VSWT pitch control in the presence of time delay, uncertainties, and non-linearities. The robustness of the VSWT and optimisation of controller is improved by adapting SMC algorithm.…”

Section: Introductionmentioning

confidence: 99%

Design of dynamic surface controller for robust performance of variable speed wind turbine

Singh¹,

Pratap

Swarup

2019

IET Renewable Power Generation

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The operation of variable speed wind turbine (VSWT) greatly affects the efficiency and quality of wind power generation. The conventional controllers are not able to improve VSWT performance in the presence of higher degree of nonlinearity, uncertain changes in wind speed, and coupling effects in the dynamical modelling. This study presents a controller design based on dynamic surface control (DSC) for a three-bladed, horizontal axis VSWT. The DSC design provides the robust performance while considering the problem of irregularity of wind speed, extraction of maximum available power from the wind, and vibration effect due to tower dynamics. The boundedness and the convergence of the proposed control have been ensured through a formal proof, leading to minimum tracking error. A comparative evaluation of a VSWT performance from the proposed DSC scheme has been analysed with the performances using quantitative feedback theory control, standard wind turbine controller, and conventional proportional integral control. The simulation results confirm that the application of DSC control has effectively produced maximum power and least tracking error than the other three existing controllers, performing robustly in presence of parametric variations upto ±15% and external disturbances.

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A Novel Constant Output Powers Compound Control Strategy for Variable-Speed Variable-Pitch Wind Turbines

Cited by 6 publications

References 46 publications

An Effective Wind Speed Estimation Based Extended Optimal Torque Control for Maximum Wind Energy Capture

An Effective Wind Speed Estimation Based Extended Optimal Torque Control for Maximum Wind Energy Capture

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

Design of dynamic surface controller for robust performance of variable speed wind turbine

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