MPPT control in wind energy conversion systems and the application of fractional control (PI&lt;SUP align="right"&gt;α&lt;/SUP&gt;) in pitch wind turbine

Ghoudelbourk, Sihem; Dib, Djalel; Omeiri, Amar; Azar, Ahmad Taher

doi:10.1504/ijmic.2016.078329

Cited by 93 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As described in [25], a torque control (hence power) is designed to extract the maximum available wind power by adjusting the rotational speed of the generator shaft. The generator torque is controlled to obtain an Optimum Torque reference curve based on the wind turbine's maximum power at a given wind speed [5].…”

Section: Mpc Based On Optimum Torque Methodsmentioning

confidence: 99%

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

Saidi¹,

Mezouar²,

Miloud³

et al. 2020

Period. Polytech. Elec. Eng. Comp. Sci.

View full text Add to dashboard Cite

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.

show abstract

Section: Mpc Based On Optimum Torque Methodsmentioning

confidence: 99%

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

Saidi¹,

Mezouar²,

Miloud³

et al. 2020

Period. Polytech. Elec. Eng. Comp. Sci.

View full text Add to dashboard Cite

show abstract

“…When the wind speeds belong to region 2 [36,37], i.e., between the cut-in and the rated values, the MPPT algorithm should be enabled to increase the efficiency of the turbine captured power. Therefore the power coefficient should be kept at its maximum value for each wind speed in this region.…”

Section: Pmsg Wecs Modelingmentioning

confidence: 99%

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

Douanla

Kenné

Pelap

et al. 2018

Journal of Control Science and Engineering

View full text Add to dashboard Cite

A modified control scheme based on the combination of online trained neural network and sliding mode techniques is proposed to enhance maximum power extraction for a grid connected permanent magnet synchronous generator (PMSG) wind turbine system. The proposed control method does not need the knowledge of the uncertainty bounds nor the exact model of the nonlinear system. Since the neural network is trained online, the time to estimate good weights can affect the dynamic performance of the process during the startup phase. Therefore an appropriate way to smoothly and explicitly accelerate the neural network rate of convergence during the startup phase is proposed. Furthermore, a flexible grid side voltage source converter control structure which can handle both grid connected and standalone modes based on conventional proportional integral (PI) control method is presented. Simulations are done in Matlab/Simulink environment to verify the effectiveness and assess the performance of the proposed controller. The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.

show abstract

“…In the aerodynamic design of the blades, the coefficient of friction of the blades is very small compared to that of the air and can be neglected. Similarly, the friction losses is negligible due to the very low turbine speed (Ghoudelbourk S. et al, 2016).…”

Section: Wind Turbine Aerodynamics Modelingmentioning

confidence: 99%

A model-based implementation of an MPPT technique and a control system for a variable speed wind turbine PMSG

Cossar

Rezaei

Mehran

2018

IJMIC

View full text Add to dashboard Cite

An optimal control system is proposed for a wind energy conversion system (WECS) using a direct driven permanent magnet synchronous generator (D-PMSG) connected to the grid via a back-to-back PWM converter with a switching frequency of 10KHz . A maximum power point tracking (MPPT) algorithm used to ensure the maximum power capture from a wind turbine and a PI controller is designed for the wind turbine to generate optimum speed for the generator via an aerodynamic model. The proposed simulation model is developed based on the practical setup parameters to accurately mimic the behaviour of the whole system in MATLAB/Simulink. collected over 8 years of professional experience in ICT and energy industries. His research interests include control of energy storages (grid, vehicular), highswitching power electronic converters and DC microgrids. He is active in the field of intelligent control, fuzzy systems, multi-sensory data fusion over wireless sensor networks with numerous peer-reviewed journal publications and book chapters.

show abstract

MPPT control in wind energy conversion systems and the application of fractional control (PI<SUP align="right">α</SUP>) in pitch wind turbine

Cited by 93 publications

References 0 publications

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

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

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

A model-based implementation of an MPPT technique and a control system for a variable speed wind turbine PMSG

Contact Info

Product

Resources

About