Designing a Fuzzy-PI Controller of a Stand-Alone Wind Energy Conversion System for MPPT

Tahiri, Fatima Ezzahra; Chikh, Khalid; Khafallah, Mohamed

doi:10.1007/978-3-030-11196-0_89

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Electromagnetic torque: Where: Rs is the stator resistance, (Ω) Ld and Lq are the inductances (H) of the generator on the d and q axes, ψf is the permanent magnetic flux (Wb), ωe is the electrical rotating velocity of the generator (rad/s) of the PMSG rotor, Tem is the electromagnetic torque (N.m), Tm is the mechanical torque applied to the generator, f is the viscous coefficient of friction, J is the total moment of inertia of the machine, P is the number of generator pole pairs, ωe and ωg are respectively the electrical rotating velocity (rad/s) and the mechanical rotating velocity of the generator [13]. In Figures 12 and 13, we observe that the output DC voltage and the output power follow the variation of the wind speed in Figure 14.…”

Section: Simulation Resultsmentioning

confidence: 99%

Modelling and Simulation of the Hybrid System PV-Wind

Bangura,

Errouha,

HIHI

et al. 2023

Stat., optim. inf. comput.

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In this paper, we focused on modeling and simulation of a hybrid solar-wind energy system, consisting of a photovoltaic cell and a wind turbine driven by a Permanent Magnet Synchronous Generator (PMSG). The proposed system gives details of the hybrid solar-wind system. In the PV subsystem, there will be a photovoltaic energy subsystem, MPPT controller, and a DC-DC boost converter. The wind turbine subsystem includes a wind turbine energy subsystem, PMSG, and MPPT controller. The MPPT controllers were designed to extract the maximum power regardless of the weather conditions and temperatures. The P and O algorithm is introduced in the MPPT used in the PV energy subsystem and on the control of the machine side converter (MSC). The proposed wind turbine energy subsystem is based on Direct Torque and Flux Control (DTFC). The simulated results are demonstrated to show that the hybrid solar-wind generating system can realize a maximum power point tracking control of wind and solar power to satisfy the energy demand over an extensive range under unpredictable atmospheric conditions. The system has been demonstrated by MATLAB/Simulink and tested for variable weather conditions and temperatures.

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Section: Simulation Resultsmentioning

confidence: 99%

Modelling and Simulation of the Hybrid System PV-Wind

Bangura,

Errouha,

HIHI

et al. 2023

Stat., optim. inf. comput.

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“…The wind turbine model used in this study has a maximum power coefficient (C p ) of 0.48 obtained at an optimal tip speed ratio (λ) of 8.512 and pitch angle (β) of 0. Then according to (7), the tip speed ratio can be maintained at its optimal value for different wind speeds by adjusting the generator speed in proportion way to the variation of the wind speed. Hence maximum power can be extracted during various wind conditions.…”

Section: B Wind Turbine Model and Maximum Power Extraction Strategymentioning

confidence: 99%

Sliding Mode Control for Grid Integration of Wind Power System Based on Direct Drive PMSG

Osman

Alsokhiry

2022

IEEE Access

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Wind energy is predicted to account for a higher share of the world's total power generation in the future. However, as wind power becomes more prevalent in the grid, it poses new challenges in terms of grid reliability and stability. This opens up new possibilities for the development of control methods capable of supporting the grid during voltage disruptions as well as enhancing power quality issues. This paper proposes a sliding mode control scheme for a direct-drive PMSG based wind energy conversion system. Nonlinear Sliding Mode Control (SMC) has the merit of robustness and good disturbance rejection capability, making it effective in responding to grid disturbances. The SMC chattering effect, on the other hand, increases the overall harmonic distortion injected into the grid. In this paper, the demerit of SMC has been minimized with the proper selection of SMC reaching law and the inclusion of an LCL filter and its dynamics in the design of the SMC control law. Moreover, MATLAB/Simulink simulation results have shown that the proposed control strategy has a better performance than the optimally tuned proportionalintegral control during grid voltage disturbances.INDEX TERMS Grid-side converter control, machine-side converter control, permanent magnet synchronous generator, sliding mode control, wind energy.

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“…Paper [3] reports the design and simulation of a fuzzy proportional integral (Fuzzy-PI) controller used to maximize energy transmission by an autonomous wind energy conversion system. If one uses the Fuzzy-PI controller as part of an autonomous wind turbine, it improves system performance compared to the classic PI controller.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the control system for taking off the maximum power of an autonomous wind plant with a synchronous magnetoelectric generator

Ostroverkhov

Chumack

Kovalenko

et al. 2022

EEJET

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The object of this study is electromechanical processes in an autonomous wind power plant with a magnetoelectrical generator. Under actual conditions, the wind speed is constantly changing. The wind turbine works as efficiently as possible only at the rated value of wind speed. When the wind speed changes, the efficiency of converting mechanical wind energy into electrical energy decreases. Controlling the power of the electric generator when the wind speed changes is a relevant scientific and technical task. A maximum power selection control system based on the parameters of an experimental sample of a synchronous magnetoelectric generator has been designed and investigated. A feature of the synthesized control system is that it was developed on the basis of the concept of inverse dynamics problems in combination with minimization of local functionals of instantaneous energy values. The control law provides weak sensitivity to parametric perturbations of the object and carries out dynamic decomposition of the interdependent nonlinear system, which predetermines its practical implementation. Transient processes of the power, voltage, and current of the stator, as well as the voltage and excitation current were established when the wind speed changes from 3 to 8 m/s, as well as when the active electrical resistance of the load changes. The results of this study confirm the effectiveness of the maximum power take-off control system when wind speed and load change. When the wind speed changes within 3–8 m/s and the load by 50 %, the efficiency of converting mechanical wind energy into electrical energy increases by 15–40 % compared to the traditional magnetoelectric system. The findings of the current study are recommended for practical use in autonomous power plants based on wind turbines with generators with permanent magnets.

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Designing a Fuzzy-PI Controller of a Stand-Alone Wind Energy Conversion System for MPPT

Cited by 5 publications

References 8 publications

Modelling and Simulation of the Hybrid System PV-Wind

Modelling and Simulation of the Hybrid System PV-Wind

Sliding Mode Control for Grid Integration of Wind Power System Based on Direct Drive PMSG

Development of the control system for taking off the maximum power of an autonomous wind plant with a synchronous magnetoelectric generator

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