D.C. Motor-Based Wind Turbine Emulator Using LabVIEW for Wind Energy Conversion System Laboratory Setup

2013 ◽  
Vol 50 (2) ◽  
pp. 111-126 ◽  
Author(s):  
N. C. Sahoo ◽  
A. S. Satpathy ◽  
N. K. Kishore ◽  
B. Venkatesh
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Laboratory Setup ◽  
Conversion System ◽  
Energy Conversion System

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 Flexible Mode Control of Grid Connected Wind Energy Conversion System Using Wavelet

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Bhavna Jain ◽  
Sameer Singh ◽  
Shailendra Jain ◽  
R. K. Nema
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Control Method ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Small Wind Turbine ◽  
Flexible Mode ◽  
Conversion System ◽  
Energy Conversion System

Small wind turbine systems offer services to critical loads during grid faults and also connected back to grid in normal condition. The connection of a wind energy conversion system to the grid requires a robust phase locked loop (PLL) and continuous monitoring of the grid conditions such as overvoltage, undervoltage, overfrequency, underfrequency, and grid outages. This paper describes a flexible control operation to operate a small wind turbine in both stand-alone mode via planned islanding and grid connected mode as well. In particular, a proper monitoring and control algorithm is required for transition between the modes. A wavelet based energy function is used for detection of grid disturbances as well as recovery of grid so that transition between the modes is made. To obtain good power quality LCL filter is used to reduce ripples. PLL is used for synchronization whenever mode changes from stand-alone to grid connected. Simulation results from a 10 kW wind energy conversion system are included to show the usefulness of the proposed methods. The control method is tested by generated gate pulses for single phase bridge inverter using field programmable gate array (FPGA).

A Novel Neuro Fuzzy Based Control Strategy for Variable Speed Wind Energy Conversion System

2014 ◽  
Vol 626 ◽  
pp. 111-117
Author(s):  
S.G. Amrutha ◽  
K. Ramesh
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Control Strategy ◽  
Variable Speed ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Neuro Fuzzy ◽  
Conversion System ◽  
Energy Conversion System

— This article describes a novel control strategy of a stand-alone Self-Excited Induction Generator (SEIG) driven by a variable speed wind turbine. The conventional Wind Energy Conversion System (WECS) controller is restructured by using a Current Controlled Voltage Source Inverter (CC-VSI) with an Electronic Load Controller (ELC) is connected in parallel with the main consumer load to the AC terminals of the induction machine. The proposed control strategy has Neuro-Fuzzy Logic Controller (NFLC) and Hysteresis Current Controller (HCC) to extract the maximum available energy from the wind turbine as well as to regulate the generator terminal voltage simultaneously against wind speed and main load variation. The control parameters are derived according to steady state characteristics of the proposed system. The proposed system is modelled and simulated with the help of SimPower Systems block sets in MATLAB

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