MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, su...

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Autores principales:	Amirsoheil Honarbari, Sajad Najafi-Shad, Mohsen Saffari Pour, Seyed Soheil Mousavi Ajarostaghi, Ali Hassannia
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wind turbines permanent magnet synchronous generator fuzzy logic control Extended Kalman Filter Technology T
Acceso en línea:	https://doaj.org/article/ee543d5fdb2645f6be4122c4cd95b082
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spelling	oai:doaj.org-article:ee543d5fdb2645f6be4122c4cd95b0822021-11-25T17:26:06ZMPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System10.3390/en142275031996-1073https://doaj.org/article/ee543d5fdb2645f6be4122c4cd95b0822021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7503https://doaj.org/toc/1996-1073Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, such as wind speed and air density could affect the accuracy of the MPPT methods, especially during the wind speed small oscillations. In this paper, in a permanent magnet synchronous generator (PMSG), the MPPT is implemented by determining the uncertainty of the unpredictable parameters using the extended Kalman filter (EKF). Also, the generator speed is controlled by employing a fuzzy logic control (FLC) system. This study aims at minimizing the effects of unpredictable parameters on the MPPT of the PMSG system. The simulation results represent an improvement in MPPT accuracy and output power efficiency.Amirsoheil HonarbariSajad Najafi-ShadMohsen Saffari PourSeyed Soheil Mousavi AjarostaghiAli HassanniaMDPI AGarticlewind turbinespermanent magnet synchronous generatorfuzzy logic controlExtended Kalman FilterTechnologyTENEnergies, Vol 14, Iss 7503, p 7503 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind turbines permanent magnet synchronous generator fuzzy logic control Extended Kalman Filter Technology T
spellingShingle	wind turbines permanent magnet synchronous generator fuzzy logic control Extended Kalman Filter Technology T Amirsoheil Honarbari Sajad Najafi-Shad Mohsen Saffari Pour Seyed Soheil Mousavi Ajarostaghi Ali Hassannia MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System
description	Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, such as wind speed and air density could affect the accuracy of the MPPT methods, especially during the wind speed small oscillations. In this paper, in a permanent magnet synchronous generator (PMSG), the MPPT is implemented by determining the uncertainty of the unpredictable parameters using the extended Kalman filter (EKF). Also, the generator speed is controlled by employing a fuzzy logic control (FLC) system. This study aims at minimizing the effects of unpredictable parameters on the MPPT of the PMSG system. The simulation results represent an improvement in MPPT accuracy and output power efficiency.
format	article
author	Amirsoheil Honarbari Sajad Najafi-Shad Mohsen Saffari Pour Seyed Soheil Mousavi Ajarostaghi Ali Hassannia
author_facet	Amirsoheil Honarbari Sajad Najafi-Shad Mohsen Saffari Pour Seyed Soheil Mousavi Ajarostaghi Ali Hassannia
author_sort	Amirsoheil Honarbari
title	MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System
title_short	MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System
title_full	MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System
title_fullStr	MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System
title_full_unstemmed	MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System
title_sort	mppt improvement for pmsg-based wind turbines using extended kalman filter and fuzzy control system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ee543d5fdb2645f6be4122c4cd95b082
work_keys_str_mv	AT amirsoheilhonarbari mpptimprovementforpmsgbasedwindturbinesusingextendedkalmanfilterandfuzzycontrolsystem AT sajadnajafishad mpptimprovementforpmsgbasedwindturbinesusingextendedkalmanfilterandfuzzycontrolsystem AT mohsensaffaripour mpptimprovementforpmsgbasedwindturbinesusingextendedkalmanfilterandfuzzycontrolsystem AT seyedsoheilmousaviajarostaghi mpptimprovementforpmsgbasedwindturbinesusingextendedkalmanfilterandfuzzycontrolsystem AT alihassannia mpptimprovementforpmsgbasedwindturbinesusingextendedkalmanfilterandfuzzycontrolsystem
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MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

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