Control of permanent magnet synchronous generator wind turbine for stand-alone system using fuzzy logic

Minh, Huynh Quang; Nollet, Frederic; Essounbouli, Najib; Hamzaoui, Abdelaziz

doi:10.2991/eusflat.2011.98

Cited by 13 publications

(2 citation statements)

References 9 publications

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“…The hill climb searching (HCS) method was used to achieve the MPPT of the PMSG wind turbine system. In [27], two fuzzy controllers were proposed. The first one is dedicated to the MPPT of a variable speed PMSG wind turbine and the second fuzzy controller has the objective to manage both the production and the storage of electricity for optimum performance of the system in respect of load demand.…”

Section: Artificial Neural Network (Ann)-based Controlmentioning

confidence: 99%

The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters

et al. 2016

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In order to meet the requirements of high precision and fast response of permanent magnet direct drive (PMDD) wind turbines, this paper proposes a fuzzy proportional integral (PI) controller associated with a new control strategy for wind turbine converters. The purpose of the control strategy is to achieve the global optimization for the quantization factors, k e and k ec , and scale factors, k up and k ui , of the fuzzy PI controller by an improved particle swarm optimization (PSO) method. Thus the advantages of the rapidity of the improved PSO and the robustness of the fuzzy controller can be fully applied in the control process. By conducting simulations for 2 MW PMDD wind turbines with Matlab/Simulink, the performance of the fuzzy PI controller based on the improved PSO is demonstrated to be obviously better than that of the PI controller or the fuzzy PI controller without using the improved PSO under the situation when the wind speed changes suddenly.

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Section: Artificial Neural Network (Ann)-based Controlmentioning

confidence: 99%

The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters

et al. 2016

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“…HCS control extracts MPP by searching the peak output power of the wind turbine [20]. The computational intelligence techniques such as fuzzy logic controller, neuro-fuzzy controller and adaptive control techniques are the recent techniques used for the MPPT control [21] [22]. In [23], Wilcoxon Radial Basis Function Network (WRBFN) with HCS, MPPT strategy has been proposed for a variable speed wind turbine systems.…”

Section: Introductionmentioning

confidence: 99%

Intelligent-Based Maximum Power Extraction on Grid-Integrated Multilevel Inverter-Fed Wind-Driven Induction Generators

Sundaram¹,

Manikandan²,

Sait³

2016

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This paper presents an intelligent controller employing Adaptive Neuro-Fuzzy Inference System (ANFIS) for extracting maximum power from the wind energy conversion system even during the change in the wind speed conditions with improved quality of power. The proposed induction generator with multilevel inverter along with intelligent controller based Maximum Power Point Tracking (MPPT) technique aims at integrating winds system with improved maximum power injection and minimum harmonic issues. The proposed method will improve the power quality which is delivered to the grid in terms of harmonic, and inject the maximum power to the grid. To validate the effectiveness of the proposed control strategy, ANFIS controller, Fuzzy Inference System (FIS) and without MPPT controller have been presented and tested using MATLAB/Simulink environment.

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Designing a Fuzzy-PI Controller of a Stand-Alone Wind Energy Conversion System for MPPT

Tahiri

Chikh

Khafallah

2019

Innovations in Smart Cities Applications Edition 2

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Control of permanent magnet synchronous generator wind turbine for stand-alone system using fuzzy logic

Cited by 13 publications

References 9 publications

The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters

The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters

Intelligent-Based Maximum Power Extraction on Grid-Integrated Multilevel Inverter-Fed Wind-Driven Induction Generators

Designing a Fuzzy-PI Controller of a Stand-Alone Wind Energy Conversion System for MPPT

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