Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms

Abstract The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of the blade, changing the length of the blade and turning the nacelle. The stochastic law was given for ch...

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Autor principal:	Ghada Adel Aziz
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2017
Materias:	Mamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/52adf01501704d8d9be3dd9d10b3f3d5
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spelling	oai:doaj.org-article:52adf01501704d8d9be3dd9d10b3f3d52021-12-02T04:42:06ZSimulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms10.22153/kej.2017.01.0031818-11712312-0789https://doaj.org/article/52adf01501704d8d9be3dd9d10b3f3d52017-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/349https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Abstract The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of the blade, changing the length of the blade and turning the nacelle. The stochastic law was given for changes and instant inaccurate assessment of wind conditions changes. Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms. These two different algorithms are materialized and developed in this study in Matlab-Fuzzy logic toolbox which has been practically implemented using necessary intelligent control system in electrical engineering and renewable energy concepts. A comparison was done to access the functionality of the developed power control system of fuzzy logic and classical control system with PID – control. It can be concluded that the power control system of fuzzy logic allows to accurately maintain production under the control target function for each work area. When switching operation of wind turbines, it has the distinction that from 13.5 m/s to another wind velocity value, there is no overshoot and a typical of classical control systems, and when the wind velocity V is less than13.5 m / s, the pitch angle of the blades should be slightly greater than zero, and if it has increased by 5 °, then blade length should be minimal as possible. Simulation program proved the possibility of effective power regulation for the large wind turbines controller fuzzy type on the basis of knowledge production "if - then" rules, which were shown to be effective on these wind turbines control. Keywords: Mamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine. Ghada Adel AzizAl-Khwarizmi College of Engineering – University of BaghdadarticleMamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 13, Iss 2 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Mamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Ghada Adel Aziz Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
description	Abstract The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of the blade, changing the length of the blade and turning the nacelle. The stochastic law was given for changes and instant inaccurate assessment of wind conditions changes. Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms. These two different algorithms are materialized and developed in this study in Matlab-Fuzzy logic toolbox which has been practically implemented using necessary intelligent control system in electrical engineering and renewable energy concepts. A comparison was done to access the functionality of the developed power control system of fuzzy logic and classical control system with PID – control. It can be concluded that the power control system of fuzzy logic allows to accurately maintain production under the control target function for each work area. When switching operation of wind turbines, it has the distinction that from 13.5 m/s to another wind velocity value, there is no overshoot and a typical of classical control systems, and when the wind velocity V is less than13.5 m / s, the pitch angle of the blades should be slightly greater than zero, and if it has increased by 5 °, then blade length should be minimal as possible. Simulation program proved the possibility of effective power regulation for the large wind turbines controller fuzzy type on the basis of knowledge production "if - then" rules, which were shown to be effective on these wind turbines control. Keywords: Mamdani and Larsen algorithms fuzzy inference, Matlab Fuzzy Logic ,Fuzzy-PID controllers, Wind turbine.
format	article
author	Ghada Adel Aziz
author_facet	Ghada Adel Aziz
author_sort	Ghada Adel Aziz
title	Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
title_short	Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
title_full	Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
title_fullStr	Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
title_full_unstemmed	Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
title_sort	simulation model of wind turbine power control system with fuzzy regulation by mamdani and larsen algorithms
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2017
url	https://doaj.org/article/52adf01501704d8d9be3dd9d10b3f3d5
work_keys_str_mv	AT ghadaadelaziz simulationmodelofwindturbinepowercontrolsystemwithfuzzyregulationbymamdaniandlarsenalgorithms
_version_	1718401120154419200

Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms

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