Real-Time Simulator based hybrid control of DFIG-WES

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy

Background:

• Doubly Fed Induction Generators (DFIGs) are crucial for wind power integration.
• Conventional control methods face challenges with rapid wind speed fluctuations.
• Improving DFIG dynamic response and stability is essential for grid integration.

Purpose of the Study:

• To design and analyze a hybrid control (HC) system for DFIGs.
• To evaluate the performance of a recurrent neural network (RNN) and proportional-integral (PI) controller-based HC.
• To compare the proposed HC with existing control strategies.

Main Methods:

• Development of a hybrid control strategy integrating RNN and PI controllers.
• Analysis of the controller's dynamic and transient response under varying wind and generator speeds.
• Independent performance evaluation of RNN and PI components within the HC framework.
• Implementation and testing in a real-time simulator (OPAL-RT and MATLAB/SIMULINK).

Main Results:

• The proposed HC demonstrates quick dynamic and good transient response to sudden wind speed changes.
• The HC with RNN outperforms conventional direct torque control (CDTC) and PI direct torque control (PI DTC).
• Significant reductions in flux ripples, torque ripples, and settling time were observed.

Conclusions:

• The RNN-PI based hybrid control is an effective strategy for DFIGs in wind energy applications.
• This advanced control approach enhances system stability and power quality.
• The proposed method offers a robust solution for managing DFIGs under dynamic wind conditions.