MPPT of Wind Energy Conversion System Based on Fuzzy Control

2012 ◽  
Vol 608-609 ◽  
pp. 734-737
Author(s):  
Ke Fang ◽  
Yan Jun Su ◽  
Xin Dong Liu
Keyword(s):  
Wind Speed ◽  
Fuzzy Control ◽  
Wind Energy ◽  
Energy Conversion ◽  
Maximum Power ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Point Tracking ◽  
Conversion System ◽  
Energy Conversion System

The output characteristics of wind energy conversion system are affected by the wind speed stochastic nonlinearity and uncertainty. To improve conversion efficiency, the method of realizing maximum power point tracking (MPPT) based on fuzzy control is proposed. Through adjusting the speed of the wind turbine by output power, the system approximates the maximum power operating point without wind speed sensor. The method constantly revises the system parameter in operation so that the parameter can be constantly optimized. Simulation results are given and discussed with MATLAB/SIMULINK to validate that the proposed control strategy has the good performance in terms of dynamic response and steady property.

scholarly journals A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5809
Author(s):  
Tania García-Sánchez ◽  
Arbinda Kumar Mishra ◽  
Elías Hurtado-Pérez ◽  
Rubén Puché-Panadero ◽  
Ana Fernández-Guillamón
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Wind Power ◽  
Maximum Power ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System

Currently, wind power is the fastest-growing means of electricity generation in the world. To obtain the maximum efficiency from the wind energy conversion system, it is important that the control strategy design is carried out in the best possible way. In fact, besides regulating the frequency and output voltage of the electrical signal, these strategies should also extract energy from wind power at the maximum level of efficiency. With advances in micro-controllers and electronic components, the design and implementation of efficient controllers are steadily improving. This paper presents a maximum power point tracking controller scheme for a small wind energy conversion system with a variable speed permanent magnet synchronous generator. With the controller, the system extracts optimum possible power from the wind speed reaching the wind turbine and feeds it to the grid at constant voltage and frequency based on the AC–DC–AC conversion system. A MATLAB/SimPowerSystems environment was used to carry out the simulations of the system. Simulation results were analyzed under variable wind speed and load conditions, exhibiting the performance of the proposed controller. It was observed that the controllers can extract maximum power and regulate the voltage and frequency under such variable conditions. Extensive results are included in the paper.

scholarly journals Method for maximum power point tracking and verification by modeling a unified wind energy conversion system

MethodsX ◽  
2021 ◽  
Vol 8 ◽  
pp. 101298
Author(s):  
José-Genaro González-Hernández ◽  
Rubén Salas-Cabrera ◽  
Roberto Vázquez-Bautista ◽  
Luis-Manuel Ong-de-la-Cruz
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Maximum Power Point ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Conversion System ◽  
Energy Conversion System ◽  
Power Point

Intelligent maximum power tracking control of a PMSG wind energy conversion system

2019 ◽  
Vol 21 (4) ◽  
pp. 1980-1990 ◽  
Author(s):  
Aicha Asri ◽  
Youcef Mihoub ◽  
Said Hassaine ◽  
Pierre‐Olivier Logerais ◽  
Tayeb Allaoui
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Tracking Control ◽  
Maximum Power ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Maximum Power Tracking ◽  
Energy Conversion System

Artificial neural network–based sensorless control of wind energy conversion system driving a permanent magnet synchronous generator

2020 ◽  
pp. 0309524X2090325 ◽  
Author(s):  
Omessaad Elbeji ◽  
Marwa Hannachi ◽  
Mouna Benhamed ◽  
Lassaad Sbita
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wind Energy ◽  
Energy Conversion ◽  
Sensorless Control ◽  
Maximum Power ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System

Due to the wind characteristic, wind speed measure requires more than one sensor. However, to track the maximum power point of the wind, knowing the wind speed or mechanical speed is necessary. So, the solution is to use a sensorless control. This article is mainly focused on a sensorless control of a wind energy conversion system that employs an artificial neural network observer. The detailed mathematical model of the studied system is presented. It includes a permanent magnet synchronous generator. The contribution of the studied wind energy conversion system is to integrate a three-cell DC–DC converter. For the generation of maximum power from the wind, an algorithm to track the maximum power is developed. Then, to avoid the disadvantages of using sensors, an artificial neural network observer is implemented. The capabilities and contributions of the proposed control scheme are demonstrated by simulation results using MATLAB/Simulink.

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