Title of article
Model Predictive Control of a BCDFIG With Active and Reactive Power Control Capability for Grid-Connected Applications
Author/Authors
Rezavandi, R. Electrical Engineering Department - Iran University of Science and Technology (IUST), Tehran , Khaburi, D. A. Electrical Engineering Department - Iran University of Science and Technology (IUST), Tehran , Siami, M. Electrical Engineering Department - Iran University of Science and Technology (IUST), Tehran , Khosravi, M. Electrical Engineering Department - Iran University of Science and Technology (IUST), Tehran , Heshmatian, S. Electrical Engineering Department - Iran University of Science and Technology (IUST), Tehran
Pages
11
From page
1
To page
11
Abstract
Recently, Brushless Cascaded Doubly Fed Induction Generator (BCDFIG) has been considered as an attractive choice for grid-connected applications due to its high controllability and reliability. In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) method with active and reactive power control capability in grid-connected mode is proposed for controlling the BCDFIG in a way that notable improvement of the dynamic response, ripple reduction of the active and reactive power waveforms and also better THD performance are achieved compared to the traditional approaches such as Vector Control (VC) method. For this purpose, the required mathematical equations are obtained and presented in detail. In order to validate the proposed method performance, a 1–MW grid-connected BCDFIG is simulated in MATLAB/Simulink environment.
Keywords
Brushless Cascaded Doubly Fed Induction Generator (BCDFIG) , Dynamic Response , Predictive Control , Grid-Connected Systems
Journal title
Iranian Journal of Electrical and Electronic Engineering(IJEEE)
Serial Year
2021
Record number
2526977
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