Adaptive maximum power control based on optimum torque method for wind turbine by using fuzzy-logic adaption mechanisms during partial load operation

Youcef Saidi; Abdelkader Mezouar; Yahia Miloud; Brahim Brahmi; Kamel Djamel Eddine Kerrouche; Mohammed Amine Benmahdjoub

doi:10.3311/PPEE.15155

Adaptive maximum power control based on optimum torque method for wind turbine by using fuzzy-logic adaption mechanisms during partial load operation

Youcef Saidi^*, Abdelkader Mezouar, Yahia Miloud, Brahim Brahmi, Kamel Djamel Eddine Kerrouche, Mohammed Amine Benmahdjoub

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	170-178
Number of pages	9
Journal	Periodica polytechnica Electrical engineering and computer science
Volume	64
Issue number	2
DOIs	https://doi.org/10.3311/PPEE.15155
State	Published - 15 Apr 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 Budapest University of Technology and Economics. All rights reserved.

Keywords

Adaptive Maximum Power Control (AMPC)
Fuzzy Logic Control (FLC)
Optimum Torque (OT)
Partial load operation
Wind Turbines System (WTS)

ASJC Scopus subject areas

Software
Signal Processing
Information Systems
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3311/PPEE.15155

Cite this

@article{5660dd2706a4450f94dc2b6a31b9a7ff,

title = "Adaptive maximum power control based on optimum torque method for wind turbine by using fuzzy-logic adaption mechanisms during partial load operation",

abstract = "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{\textregistered} software.",

keywords = "Adaptive Maximum Power Control (AMPC), Fuzzy Logic Control (FLC), Optimum Torque (OT), Partial load operation, Wind Turbines System (WTS)",

author = "Youcef Saidi and Abdelkader Mezouar and Yahia Miloud and Brahim Brahmi and Kerrouche, \{Kamel Djamel Eddine\} and Benmahdjoub, \{Mohammed Amine\}",

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doi = "10.3311/PPEE.15155",

language = "English",

volume = "64",

pages = "170--178",

journal = "Periodica polytechnica Electrical engineering and computer science",

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publisher = "Budapest University of Technology and Economics",

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}

Adaptive maximum power control based on optimum torque method for wind turbine by using fuzzy-logic adaption mechanisms during partial load operation. / Saidi, Youcef; Mezouar, Abdelkader; Miloud, Yahia et al.
In: Periodica polytechnica Electrical engineering and computer science, Vol. 64, No. 2, 15.04.2020, p. 170-178.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Adaptive maximum power control based on optimum torque method for wind turbine by using fuzzy-logic adaption mechanisms during partial load operation

AU - Saidi, Youcef

AU - Mezouar, Abdelkader

AU - Miloud, Yahia

AU - Brahmi, Brahim

AU - Kerrouche, Kamel Djamel Eddine

AU - Benmahdjoub, Mohammed Amine

PY - 2020/4/15

Y1 - 2020/4/15

N2 - 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.

AB - 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.

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KW - Fuzzy Logic Control (FLC)

KW - Optimum Torque (OT)

KW - Partial load operation

KW - Wind Turbines System (WTS)

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JO - Periodica polytechnica Electrical engineering and computer science

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Adaptive maximum power control based on optimum torque method for wind turbine by using fuzzy-logic adaption mechanisms during partial load operation

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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