Enhancement of DFIG performance at high wind speed using fractional order PI controller in pitch compensation loop

Mahvash, Hossein; Taher, Seyed Abbas; Rahimi, Mohsen; Shahidehpour, Mohammad

doi:10.1016/j.ijepes.2018.07.009

Cited by 43 publications

(18 citation statements)

References 25 publications

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“…These measures are selected to meet the basic properties of the controller operation, which is minimization of instantaneous error between the desired and measured angular velocity of the rotor at the instance while wind gets fluctuated. 38,39 The applied cost function is given in Equation (17).…”

Section: Optimization Of Pitch Angle Controller Parametersmentioning

confidence: 99%

“…Therefore, investigators are motivated to renovate the structure and operation of current conventional methods of pitch angle control, that is, PI/PID pitch angle controllers. An improved structure of the PI pitch angle controller is proposed in Ref.,17 where the integral term of the PI controller has been converted to fractional‐order integral gain. The number of controller gains is increased, that is, proportional, integral, and fractional integrator gains, and hence the degree of control freedom has been increased by one.…”

Section: Introductionmentioning

confidence: 99%

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A novel fractional‐order nonlinear PID ‐based pitch angle control strategy for a PMSG ‐based wind energy system

Pathak

Gaur

2020

Int Trans Electr Energ Syst

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The mechanical power of the wind turbine has a cubic relationship with wind speed. Therefore, during high wind speed, the output power of wind turbine driven permanent magnet synchronous generator (PMSG) needs to be maintained at rated value effectively. This can be achieved by the pitch angle control of the wind turbine. In this paper, a new application of the fractionalorder nonlinear proportional-integral-derivative (FONPID) controller is pro

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Section: Optimization Of Pitch Angle Controller Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel fractional‐order nonlinear PID ‐based pitch angle control strategy for a PMSG ‐based wind energy system

Pathak

Gaur

2020

Int Trans Electr Energ Syst

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“…As it is possible to limit the active power and rotor speed of doubly-fed induction generators at high wind speeds, Refs. [19], [20] designed a fractional-order PI controller, which used fractional-order coefficients as additional control variable and was applied to the pitch angle compensation control loop. Accordingly, doubly-fed induction generator active powers were improved and rotor speeds were optimized.…”

Section: Introductionmentioning

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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“…Vector control, based on the classic PI controller is traditionally used for the control of the active and reactive powers of the DFIG [4][5][6][7]. However, it is not always easy to obtain good performance on the process controlled by PI, especially if this process has a significant pure delay, Its dynamic characteristics vary during operation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator

2020

IJE

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This paper presents a hybrid scheme for the control of active and reactive powers using the direct vector control with stator flux orientation (SFO) of the DFIG. The hybrid scheme consists of Fuzzy logic, Reference Signal Tracking (F-RST) controllers. The proposed (F-RST) controller is compared with the classical Proportional-Integral (PI) and the Polynomial (RST) based on the pole placement theory. The various strategies are analyzed and compared in terms of tracking, robustness, and sensitivity to the speed variation. Simulations are done using MATLAB software. The simulation results prove that the proposed approach leads to good performances such as the tracking test, the rejection of disturbances and the robustness concerning the parameter variations. The hybrid controller is much more efficient compared to those of PI and RST controller, it also improves the performance of the powers and ensures some important strength despite the parameter variation of the DFIG.

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Enhancement of DFIG performance at high wind speed using fractional order PI controller in pitch compensation loop

Cited by 43 publications

References 25 publications

A novel fractional‐order nonlinear PID ‐based pitch angle control strategy for a PMSG ‐based wind energy system

A novel fractional‐order nonlinear PID ‐based pitch angle control strategy for a PMSG ‐based wind energy system

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

Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator

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