Comparative Study of MPPT and Pitch Angle Control Strategies for a Wind Energy Conversion System

Fdaili, Mohammed; Essadki, Ahmed; Nadour, Mohamed; Nasser, Tamou

doi:10.1109/irsec.2017.8477291

Cited by 15 publications

(15 citation statements)

References 5 publications

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“…From the form of (5), it is apparent that such a method requires real-time measurement of the wind speed and knowledge of the optimal tip speed ratio. The need for this knowledge can be eliminated by utilizing commonly used maximum power point tracking (MPPT) methods [9,38], though this work aims to demonstrate controller tracking ability alone. Therefore, this work assumes for the purposes of speed trajectory planning that the wind speed is measurable.…”

Section: System Modelmentioning

confidence: 99%

A Robust Nonlinear Controller for PMSG Wind Turbines

Hawkins

McIntyre

2021

Energies

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In this paper, a nonlinear backstepping controller is proposed to manage the performance of a full-variable permanent magnet synchronous generator wind turbine. This nonlinear controller achieves a rotational speed objective for the generator and is validated through Lyapunov-based stability analysis. Additionally, this objective is accomplished without a measurement for wind speed that influences the wind torque. The proposed scheme is compared to a typical linear controller through simulation results. Simulation tests are performed to compare the response time and average error of each controller in both a drastic and realistic dynamic wind environment. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes. The simulation results of this study indicate a 1000% increase in response time and 3000% decrease in average controller error.

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Section: System Modelmentioning

confidence: 99%

A Robust Nonlinear Controller for PMSG Wind Turbines

Hawkins

McIntyre

2021

Energies

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“…Eq. (12) indicates that the V out of the converter is always higher than its input voltage. Where Eqs.…”

Section: The Vdr As Smart Rotormentioning

confidence: 99%

“…Where Eqs. (11) and (12) are for the continous conduction mode (CCM) of the boost converter, assuming the inductor L is pure inductor. CCM mode is used because to get a low output voltage ripple on the stand-alone load.…”

Section: The Vdr As Smart Rotormentioning

confidence: 99%

“…The swept area as rotor of VAWTs consists of blades and rotor diameter. The rotor blades with variable pitch control are usually used for aerodynamic optimization on the side of the rotor using ANN, fuzzy, PID and other artificial intelligence controls to limit the power output during strong wind conditions or above the wind speed rating [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart Variable Rotor of Vertical Axis Wind Turbine with Faster Cut-in Speed and Wide Range Extract Power Using Artificial Intelligent

Fadil¹,

Soedibyo²,

Ashari³

2020

IJIES

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This paper presents the standalone type vertical axis wind turbine (VAWT) smart rotor using variable diameter rotor (VDR) in order to tap constant power and maintain cut-in wind speed. VDR is a smart variable rotor capable of operating at a low wind speed, in which the width of diameter rotor is adjustable using actuators. The VDR rotor is connected to the permanent magnet synchronous generator (PMSG) and a DC-DC boost converter. The controller of VDR rotors uses fuzzy logic controller (FLC). The FLC variable inputs are wind speed data and power output, broken down into cluster groups to determine the diameter rotor position. The wind speed data as fuzzy input are produced by wind speed estimator using artificial neural network (ANN) to maintain cut-in speed to be faster. The velocity movement of VDR is limited from 75 cm to 150 cm. The VDR extension increases by 25% when the wind speed decreases from 8 to 6 m/s to obtain consistent power at 150 Watt. The experimental of VDR system is tested at low wind speeds ranging from 1 to 8 m/s as a verification of the control system. The result showed that the VDR produced five times increase in efficiency with faster cut-in wind speed at 2.0 m/s.

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“…Other contributions are made on their modeling and control techniques [7][8][9][10][11][12][13][14], but the majority of the proposed control schemes are based on the classical method, such as perturb and observe or incremental conductance algorithms and proportional-integral (PI) controller [7][8][9][10][11]. In reality, renewable energy generation systems are non-linear whereas the PI controller is designed for linear systems, and several comparative studies have already clearly demonstrated the moderate performance of this controller compared to non-linear controllers [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Integral Backstepping Based Nonlinear Control for Maximum Power Point Tracking and Unity Power Factor of a Grid Connected Hybrid Wind-Photovoltaic System

Malah

Ba-Razzouk

Abdelmounim

et al. 2020

IJEEI

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This paper proposes a novel integral backstepping-based nonlinear control strategy for a grid-connected wind-photovoltaic hybrid system. Firstly, detailed three-phase models of the hybrid system elements are presented, and then an overall state-space model is derived. Secondly, nonlinear control laws for the hybrid system's converters are developed with the aim of ensuring maximum extraction of the available renewable energy, stabilizing the DC bus voltage and guaranteeing the operation of the hybrid system at unity power factor. The overall stability of the closed-loop system is demonstrated on the basis of Lyapunov's stability theory. Comprehensive simulations, using the MATLAB/Simulink software environment, are carried out to assess the effectiveness of the proposed control methodology. The simulation results obtained confirm that the proposed control strategy offers high efficiency in various operating modes of the hybrid generation system.

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Comparative Study of MPPT and Pitch Angle Control Strategies for a Wind Energy Conversion System

Cited by 15 publications

References 5 publications

A Robust Nonlinear Controller for PMSG Wind Turbines

A Robust Nonlinear Controller for PMSG Wind Turbines

Smart Variable Rotor of Vertical Axis Wind Turbine with Faster Cut-in Speed and Wide Range Extract Power Using Artificial Intelligent

Integral Backstepping Based Nonlinear Control for Maximum Power Point Tracking and Unity Power Factor of a Grid Connected Hybrid Wind-Photovoltaic System

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