Performance improvement of variable speed wind turbine by uncertainty estimator-based robust control design

Pandey, Alok Kumar; Pratap, Bhanu; Swarup, Akhilesh

doi:10.1007/s40095-022-00478-5

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Even though the work shown in Yayla et al (2018) brought matched and unmatched uncertainties of model parameters, unluckily, there has been no significant analysis seen on the performance of the existing system. An uncertainty analysis taking consideration of the vibration of a tower, friction, and varying nature of wind speeds is being analyzed in Alok et al (2022) for a Variable Speed Wind Turbines (VSWT) system. For this purpose, the paper has implemented a nonlinear feedback control technique to see the robustness of the VSWT system.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the effect of parametric uncertainty on dynamic performances of doubly fed induction generator-based wind energy conversion system

Haile,

Tuka

2023

Wind Engineering

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The wind, stochastic in nature, is one of the fastest-growing and most promising renewable energy resources in the entire world. Thus, this paper investigates the influence of parameter uncertainties upon a dynamic performance of a grid-tied Doubly-Fed Induction Generator (DFIG)-based Wind Energy Conversion System (WECS). The main uncertain parameters found in the study are mutual and rotor winding reactances which occurred due to the variation of the angular positions of the rotor caused by varying wind speeds. The variation in the wind speed caused the generator rotor speed to deviate between 25% and 150%. Consequently, the rotor winding reactance of DFIG changes from its nominal value of 1.31 mΩ to between 0.983 and −0.655 mΩ; and the mutual reactance from its nominal value of 0.941 Ω to between 0.758 and −0.4708 Ω. As a result, the stator and rotor winding voltages and currents of the DFIG are uncertain.

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Section: Introductionmentioning

confidence: 99%

Analysis of the effect of parametric uncertainty on dynamic performances of doubly fed induction generator-based wind energy conversion system

Haile,

Tuka

2023

Wind Engineering

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“…Proportional-integral-derivative (PID) controlled hydraulic pitch actuator, and Type-2 Fuzz logic-based pitch-angle control scheme (Naik et al, 2020) and fuzz logic-based PID controller is employed for the speed control of wind energy conversion system (Haile et al, 2021). The neuronal network, fuzzy logic, and neuro-fuzzy-based PI controllers are employed for pitch angle control of the wind turbine (Pandey et al, 2022; Soufyane et al, 2020). However, the overall performance of the wind energy conversion systems under varying wind speeds is not good.…”

Section: Introductionmentioning

confidence: 99%

Optimal control of the electro-hydraulic actuator for variable pitch variable speed wind turbine: Performance enrichment

Alemu,

Ayenew

2023

Wind Engineering

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The wind energy generation system is complex because of varying wind speeds and its control systems to improve its ability of energy harvesting. This paper considers a hydraulic actuator-based variable-pitch angle control of a 1.5 MW wind turbine. The existing control systems of the pitch mechanism of the wind turbines are complex and bulky size. This study applied Genetic Algorithm based Proportional Integral Derivative Controller (GA-PID), Fractional Order Proportional Integral Derivative (FOPID), and Genetic Algorithm based Fractional Order Proportional Integral Derivative (GA-FOPID) controllers to adjust the pitch angle of the wind turbine blade. The performance of GA-FOPID, FOPID, and GA-PID controlled pitch angle is compared by considering different wind speeds. The GA-FOPID controller reduced the variation in mechanical power to 0.08% concerning the rated value and the variation in mechanical torque to 1.51% in comparison to the rated value. Therefore, the GA-FOPID controller shows better performance than the conventional PID.

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Fuzzy-type 2 fractional fault tolerant adaptive controller for wind turbine based on adaptive RBF neural network observer

Veisi,

Delavari

2024

Soft Comput

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Performance improvement of variable speed wind turbine by uncertainty estimator-based robust control design

Cited by 4 publications

References 24 publications

Analysis of the effect of parametric uncertainty on dynamic performances of doubly fed induction generator-based wind energy conversion system

Analysis of the effect of parametric uncertainty on dynamic performances of doubly fed induction generator-based wind energy conversion system

Optimal control of the electro-hydraulic actuator for variable pitch variable speed wind turbine: Performance enrichment

Fuzzy-type 2 fractional fault tolerant adaptive controller for wind turbine based on adaptive RBF neural network observer

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