Research on Frequency Adaptability of Permanent Magnet Synchronous Generator

In this paper, a study on frequency adaptability of permanent magnet synchronous generator (PMSG) is carried out, the influence mechanism of the frequency changes on PMSG is revealed. It is proposed that setting the converter protection setting value and PLL parameters reasonably can ensure that the grid frequency change has little effect on the PMSG. The simulation of frequency adaptability of PMSG is realized on Matlab/Simulink, and the simulation results verify the correctness of the conclusion.

Download Full-text

Optimal Control Research for the Wind Turbine PMSG Chaos Motion

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.543-547.1291 ◽

2014 ◽

Vol 543-547 ◽

pp. 1291-1295 ◽

Cited By ~ 1

Author(s):

Lin Zheng Ren ◽

Teng Fei Lei ◽

Heng Chen ◽

Rong Wang

Keyword(s):

Optimal Control ◽

Wind Turbine ◽

Permanent Magnet ◽

Synchronous Generator ◽

Optimal Controller ◽

Permanent Magnet Synchronous Generator ◽

Dynamic Motion ◽

Control Research ◽

Simulation Results ◽

Chaos Motion

In this paper, the dynamic motion of the wind turbine permanent magnet synchronous generator is studied. After the permanent magnet synchronous generator motion is analyzed, the system has a complex chaotic motion in some parameters condition. A controller is designed based on optimal control theory. The optimal controller is used to avoid PMSG chaos and ensure the system is stable. This controller is simple and easy to implement. The simulation results show the whole control system has the good performance. The wind turbine PMSG optimal controller can be used by the other researchers.

Download Full-text

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

Electrical Engineering & Electromechanics ◽

10.20998/2074-272x.2021.6.03 ◽

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.

Download Full-text