scholarly journals AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL

2020 ◽  
Vol 0 (6) ◽  
pp. 63-70
Author(s):  
R. Lebied ◽  
R. Lalalou ◽  
H. Benalla ◽  
K. Nebti ◽  
I. Boukhechem
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Permanent Magnet ◽  
Fuzzy Logic Control ◽  
Synchronous Generator ◽  
Generation System ◽  
Direct Power ◽  
Permanent Magnet Synchronous Generator ◽  
Wind Energy Generation ◽  
Logic Control

scholarly journals Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2289 ◽  
Author(s):  
Altan Gencer
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Control Systems ◽  
Fuzzy Logic Control ◽  
Synchronous Generator ◽  
Permanent Magnet Synchronous Generator ◽  
Logic Control ◽  
Fault Ride Through ◽  
Interval Type

Recently, wind energy conversion systems in renewable energy sources have attracted attention due to their effective application. Wind turbine systems have a complex structure; however, traditional control systems are inadequate in answering the demands of complex systems. Therefore, expert control systems are applied to wind turbines, such as type-1 and interval type-2 fuzzy logic control (IT-2 FLC) systems. An IT-2 FLC system is used to solve the complexity of the wind turbine system and increases the efficiency of the wind turbine. This paper proposes a new control approach using the IT-2 FLC method applied to a wind turbine based on a permanent magnet synchronous generator (PMSG) to improve the transient stability during grid faults. An IT-2 FLC was designed to enhance the fault ride-through performance of a wind turbine and was implemented to control the machine side converter and grid side converter of a wind turbine. The proposed algorithm performance of a wind turbine based on a PMSG was investigated for different types of grid fault. The analysis results verify that the interval type-2 fuzzy logic control system is robustly utilized under different operational conditions.

scholarly journals New application of artificial neural network-based direct power control for permanent magnet synchronous generator

2021 ◽  
pp. 18-24
Author(s):  
K. Akkouchi ◽  
L. Rahmani ◽  
R. Lebied
Keyword(s):  
Comparative Study ◽  
Power Control ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Direct Power ◽  
Permanent Magnet Synchronous Generator ◽  
Artificial Neuron ◽  
Neuron Networks ◽  
Simulation Results ◽  
Bus Voltage

Purpose. This article proposes a new strategy for Direct Power Control (DPC) based on the use of Artificial Neural Networks (ANN-DPC). The proposed ANN-DPC scheme is based on the replacement of PI and hysteresis regulators by neural regulators. Simulation results for a 1 kW system are provided to demonstrate the efficiency and robustness of the proposed control strategy during variations in active and reactive power and in DC bus voltage. Methodology. Our strategy is based on direct control of instant active and reactive powers. The voltage regulator and hysteresis are replaced by more efficient and robust artificial neuron networks. The proposed control technique strategy is validated using MATLAB / Simulink software to analysis the working performances. Results. The results obtained clearly show that neuronal regulators have good dynamic performances compared to conventional regulators (minimum response time, without overshoots). Originality. Regulation of continuous bus voltage and sinusoidal currents on the network side by using artificial neuron networks. Practical value. The work concerns the comparative study and the application of DPC based on ANN techniques to achieve a good performance control system of the permanent magnet synchronous generator. This article presents a comparative study between the conventional DPC control and the ANN-DPC control. The first strategy based on the use of a PI controller for the control of the continuous bus voltage and hysteresis regulators for the instantaneous powers control. In the second technique, the PI and hysteresis regulators are replaced by more efficient neuronal controllers more robust for the system parameters variation. The study is validated by the simulation results based on MATLAB / Simulink software.

scholarly journals Smart Wind Generation System

2020 ◽  
Vol 9 (8) ◽  
pp. 364-368
Keyword(s):  
Permanent Magnet ◽  
Wind Direction ◽  
Synchronous Generator ◽  
Boost Converter ◽  
Wind Generation ◽  
Generation System ◽  
Permanent Magnet Synchronous Generator ◽  
Maximum Wind ◽  
High Efficient ◽  
Wind Generation System

This paper proposes a wind generation system by tracking the maximum wind direction by using air sensors. This wind generation system equipped with the Permanent Magnet Synchronous Generator (PMSG) connected to the Grid. Diode Rectifier, Boost converter, Neutral Point Clamped inverter (NPC) are used as a interfacing devices between PMSG and Grid. This method has plentiful features like low and medium power wind generation applications. It is also very less in cost and high efficient due to tracking the maximum wind direction and rotating itself into that direction

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