Maximum power point tracking in wind energy conversion systems using tracking control system based on fuzzy controller

Mahdavian, M.; Wattanapongsakorn, Naruemon; Shahgholian, Ghazanfar; Mozafarpoor, S. H.; Janghorbani, Mohammadreza; Shariatmadar, Seyed Mohammad

doi:10.1109/ecticon.2014.6839750

Cited by 14 publications

(6 citation statements)

References 8 publications

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“…P&O and ORB algorithms come under sensorless methods and are cheaper and more reliable as they do not require any mechanical sensors, but they cannot track the exact MPPT under rapid wind fluctuations. The hybrid and intelligent algorithms are more accurate, robust and are advantageous than the above two categories of methods but they are do not comply with the constraints of simplicity and cost (Agarwal et al, 2010; Balasundar et al, 2015; Dalala et al, 2013; Haque et al, 2010; Heydari and Smedley, 2015; Huang et al, 2015; Mahdavian et al, 2014; Nasiri et al, 2014; Rahim, 2014; Singh and Chandra, 2011; Tan and Islam, 2004; Wei et al, 2016).…”

Section: Proposed Mppt Control Algorithmmentioning

confidence: 99%

“…To operate the Wind Energy Conversion System (WECS) at an optimum power extraction point, a Maximum Power Point Tracking (MPPT) algorithm should be implemented. Several MPPT algorithms have been proposed in literature (Agarwal et al, 2010; Balasundar et al, 2015; Dalala et al, 2013; Haque et al, 2010; Heydari and Smedley, 2015; Huang et al, 2015; Mahdavian et al, 2014; Nasiri et al, 2014; Rahim, 2014; Singh and Chandra, 2011; Tan and Islam, 2004; Wei et al, 2016). However, choosing an appropriate MPPT algorithm for a particular case requires sufficient proficiency with each because each algorithm has its own merits and demerits.…”

Section: Introductionmentioning

confidence: 99%

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New approach of maximum power point tracking for wind energy conversion system

Tounsi¹

2022

Wind Engineering

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This paper presents the modeling of wind energy systems using MATLAB Simulink. The model considers the MPPT (Maximum Power Point Tracking) technique to track the maximum power that could be extracted from the wind energy. The main contribution of our work lines in the choice of the Wind Energy Conversion System (WECS) components and the suitable MPPT technique. An innovating maximum MPPT technique is proposed. This technique combines the advantages of an ameliorated Perturb & Observe (P&O) control algorithm and the speed of Optimal Relationship Based (ORB) control algorithm to allow the MPPT controller output (duty cycle) adjusts the voltage input of a Buck-Boost converter to track the maximum power point. It searches for the system optimum relationship for maximum power point tracking and then controls the system based on this relationship. The main advantage of the proposed technique is that it does not require an anemometer or preknowledge of a system, but has an accurate and fast response to wind speed fluctuations. The MATLAB/Simulink simulation results show that the developed model components choice complies with cost and reliability constraints and confirm the validity and performance of the proposed control algorithm.

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Section: Proposed Mppt Control Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New approach of maximum power point tracking for wind energy conversion system

Tounsi¹

2022

Wind Engineering

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“…Since only part of total power, approximately 25%, is flowing through power electronic converter, thus the size and cost of the converter are reduced meaningfully [28,29]. The need for sliding ring and brush are among the drawbacks of this system, increasing construction and maintenance cost [30]. This type of WECS can potentially reduce the oscillations introduced by wind speed variations.…”

Section: Wind Energy Conversion Systemmentioning

confidence: 99%

Analysis and optimization of frequency control in isolated microgrid with double-fed induction-generators based wind turbine

Khani

Shahgholian

2019

Journal of International Council on Electrical Engineering

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In this paper the role of wind energy conversion systems (WECS) was investigated, In particular, variable speed wind turbines (VSWT) based on double-fed induction-generator (DFIG) in control and the optimization frequency with different wind penetration in the isolated system including Traditional Thermal and Non-thermal units have been investigated too. DFIG is capable of providing power at different mechanical speeds and reducing the Instantaneous speed, thus the release of stored mechanical energy; it is able to support traditional units of frequency tuning system. By achieving this through setting the desired speed, controlling DFIG at different levels of wind penetration is possible. This technique utilizes the particle swarm optimization (PSO) algorithm. The simulation results have been compared to the integral of squared error (ISE). The optimal penetration of WECSs by considering changing parameters in the microgrid (MG) frequency is investigated. The presence of wind turbines has been shown to improve the oscillation frequency and In particular the penetration rate of the wind turbine in the MG. The best frequency control will be achieved. To achieve the computing purposes, use of intelligent algorithms is much better than the methods trial and error methods.

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“…To operate the WECS at an optimum power extraction point, a maximum power point tracking (MPPT) algorithm should be implemented. Several MPPT algorithms have been proposed in literatures (Blaabjerg et al, 2006;Haque et al, 2010;Heydari and Smedley, 2015;Mahdavian et al, 2014). Generally, the MPPT algorithms can be related into three major types: tip speed ratio (TSR) control, Perturb and Observe (P&O) control, and optimum relation predicated (ORB) control.…”

Section: Introductionmentioning

confidence: 99%

Innovative maximum power point tracking technique for wind energy conversion system

Tounsi

2023

Wind Engineering

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In this work, an optimal control scheme based on the Maximum Power Point tracking for the Wind Energy Conversion System using Permanent Magnet Synchronous Generator (PMSG) is proposed and also modeled. The system studied in this paper consists of wind energy system powering a battery using a buck-boost converter as an interface. By modifying the buck-boost duty cycle, we vary the reflected voltage at PMSG, and accordingly its speed. It is controlled with Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) approach. The overall system is simulated with MATLAB/SIMULINK.

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Maximum power point tracking in wind energy conversion systems using tracking control system based on fuzzy controller

Cited by 14 publications

References 8 publications

New approach of maximum power point tracking for wind energy conversion system

New approach of maximum power point tracking for wind energy conversion system

Analysis and optimization of frequency control in isolated microgrid with double-fed induction-generators based wind turbine

Innovative maximum power point tracking technique for wind energy conversion system

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