scholarly journals Adaptive Maximum Power Control Based on Optimum Torque Method for Wind Turbine by Using Fuzzy-Logic Adaption Mechanisms during Partial Load Operation

2020 ◽  
Vol 64 (2) ◽  
pp. 170-178 ◽  
Author(s):  
Youcef Saidi ◽  
Abdelkader Mezouar ◽  
Yahia Miloud ◽  
Brahim Brahmi ◽  
Kamel Djamel Eddine Kerrouche ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Wind Turbine ◽  
Control Method ◽  
Dynamic Performance ◽  
Maximum Power ◽  
Point Tracking ◽  
Wind Turbine System ◽  
Partial Load ◽  
Power Point

This paper aims to increase the effectiveness of the Maximum Power Control (MPC) strategy by using a new Adaptive Maximum Power Control method (AMPC) for maximizing the power delivered by the Wind Turbine System (WTS) during partial load operation whatever the disturbances caused by variations in wind profile. The AMPC is applied to one of the frequently used Maximum Power Point Tracking (MPPT) methods called as Optimum Torque (OT) MPPT algorithm. Furthermore, the proposed AMPC strategy aims to optimize the wind energy captured by the WTS during partial load operation under rating wind speed, using Fuzzy-Logic as Adaption Mechanisms (AMPC- FLC). Additionally, the performances of the proposed improved OT-MPPT method based on AMPC-FLC are compared to the OT-MPPT method based on Conventional Maximum Power Control (CMPC-PI) under the same conditions. The robustness, dynamic performance, and fast approximation of the optimal value are proved with the numerical simulations under MATLAB/Simulink® software.

scholarly journals Maximum Power Point Tracking of Wind Turbine Conversion Chain Variable Speed Based on DFIG

2018 ◽  
Vol 9 (2) ◽  
pp. 527 ◽  
Author(s):  
H. Becheri ◽  
I. K. Bousarhanne ◽  
A. Harrouz ◽  
H. Glaoui ◽  
T. Belbekri
Keyword(s):  
Wind Turbine ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Wind Turbine System ◽  
Asynchronous Generator ◽  
Power Point ◽  
The Cost ◽  
First Time

Wind energy has many advantages, it does not pollute and it is an inexhaustible source. However, the cost of this energy is still too high to compete with traditional fossil sources. The yield of a wind turbine depends on three parameters: the power of the wind, the turbine power curve and the ability of the generator to respond to fluctuations in the wind. This article presented the MPPT of a wind turbine system equipped with an asynchronous generator has dual power under MatlabSimulink program, in the first time we simulated all the conversion chain with complete model of DFIG and vector control in second stepthen applied the extracted maximum power MPPT strategists, this command is effective and has several advantages it offered to kept the maximum power delivered to network despite all the parameter is change.

scholarly journals Modeling and Comparative Study of Speed Sensor and Sensor-less based on TSR-MPPT Method for PMSG-WT Applications

2019 ◽  
Vol 3 (2) ◽  
pp. 6
Author(s):  
Youcef SAIDI ◽  
Abdelkader MEZOUAR ◽  
Yahia MILOUD ◽  
Mohammed Amine BENMAHDJOUB ◽  
Maamar YAHIAOUI
Keyword(s):  
Wind Speed ◽  
Comparative Study ◽  
Power Control ◽  
Dynamic Performance ◽  
Maximum Power ◽  
Speed Ratio ◽  
Point Tracking ◽  
Speed Sensor ◽  
Power Point Tracking ◽  
Power Point

The aim of this paper is to present a comparative study between two maximum power point tracking (MPPT) control based on tip speed ratio (TSR) method: maximum power control with wind speed measurement (TSR-MPCWSM) and the maximum power control with wind speed estimation (TSR-MPCWSE). These methods are analytically compared to illustrate TSR-MPPT and power smoothing capability delivered by the turbine. The dynamic performance, robustness, and fast approximation of the optimal value are proved with the simulations under MATLAB/Simulink software

scholarly journals Performance analysis and enhancement of direct power control of DFIG based wind system

2021 ◽  
Vol 12 (2) ◽  
pp. 1034
Author(s):  
Mohamed Amine Beniss ◽  
Hassan El Moussaoui ◽  
Tijani Lamhamdi ◽  
Hassane El Markhi
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Reactive Power ◽  
Control Technique ◽  
Direct Power ◽  
Direct Power Control ◽  
Modeling And Control ◽  
Point Tracking ◽  
Wind Turbine System ◽  
Power Point

<span lang="EN-US">The paper proposes a complete modeling and control technique of variable speed wind turbine system (WTS) based on the doubly fed induction generator (DFIG). Two levels back-to-back converter is used to ensure the energy transfer between the DFIG rotor and the grid. The wind turbine to operate efficiently, a maximum power point tracking (MPPT) algorithm is implemented. Then, direct power control (DPC) strategy has been combined with the MPPT technique in order to guarantee the selection of the appropriate rotor voltage vectors and to minimize the active and reactive power errors. Finally, the simulation is performed by using MATLAB/simulink platform basing on 7.5KW DFIG wind generation system, and the results prove the effectiveness of our proposed control technique.</span>

scholarly journals Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System

2014 ◽  
Vol 63 (4) ◽  
pp. 551-578 ◽  
Author(s):  
Maziar Izadbakhsh ◽  
Alireza Rezvani ◽  
Majid Gandomkar
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Dynamic Performance ◽  
Maximum Power ◽  
Maximum Point ◽  
Maximum Power Point ◽  
Inference System ◽  
Power Point ◽  
Power Curves

Abstract The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using pitch angle control technic by fuzzy logic. For tracking the maximum point, the proposed ANFIS was trained by the optimum values. The simulation results showed that the ANFIS controller of grid-connected mode could easily meet the load demand with less fluctuation around the maximum power point. Moreover, pitch angle controller, which was based on fuzzy logic with wind speed and active power as the inputs, could have faster responses, thereby leading to flatter power curves, enhancement of the dynamic performance of wind turbine and prevention of both frazzle and mechanical damages to PMSG. The thorough wind power generation system, PV system, MTG, flywheel and power electronic converter interface were proposed by using Mat-lab/Simulink.

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