EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

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Model Predictive and Direct Voltage Control for Standalone DFIG System

Priyanka Verma1, Kiran Kumar Jaladi2
1Department of electrical engineering, National institute of technology, Kurukshetra, India
2Department of electrical engineering, national institute of technology, Kurukshetra, India
Received: February 12, 2024 | Revised: February 06, 2025 | Accepted: April 01, 2025 | Published: June 2025
Abstract
The Doubly-fed Induction Generator (DFIG) is capable of operation in regions with varying speeds. In the electricity industry, it is frequently employed and has attained enormous popularity. The need for DFIG systems that supply energy to isolated loads while being powered by wind turbines at varied speeds is growing, and more study are being done on the stand-alone mode. The DFIG's terminal bus in stand-alone mode is linked to an isolated load, and the control strategy regulates the voltage as well as frequency to the rated value. By appropriately regulating the rotor voltage and slip frequency, the stator voltage and frequency are kept constant. The DFIG-DC system is suitable for both DC grid-connected and stand-alone applications. There haven't been many investigations into tying the DFIG to the DC grid. However, there are still some issues with it. Large torque oscillations are one of the issues. It is caused by the nonlinear diodes connected on the stator side of DFIG. To overcome this issue, lots of control techniques have been proposed and developed. Among various control techniques, direct torque control (DTC) is a very popular and effective technique widely used. To evaluate the system’s performance, model predictive control (MPC) is integrated into a standalone DFIG in this article. On the stator side of the DFIG, the MPC control approach is used, and on the rotor side, the voltage control technique is used. The proposed MPC-based standalone DFIG is designed and verified in a MATLAB/Simulink environment. The results obtained are presented in this paper, which shows the enhancement of the overall performance of the system.
Keywords
MPC ; DFIG ; DTC ; DC ; DVC
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