Doubly-Fed Converter Simulation Model Implementation
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Resource Overview
MATLAB-based doubly-fed converter simulation model utilizing SVPWM (Space Vector Pulse Width Modulation) drive module with integrated control algorithm implementation
Detailed Documentation
This document presents a MATLAB-based simulation model for doubly-fed converters, employing SVPWM (Space Vector Pulse Width Modulation) in the drive module. The model implements a comprehensive doubly-fed converter system for power system simulations, featuring advanced PWM control techniques for precise output regulation.
The simulation architecture incorporates MATLAB/Simulink blocks representing the power circuit, control system, and measurement modules. The SVPWM drive module utilizes mathematical transformations (Clarke/Park transformations) to generate optimal switching sequences, minimizing harmonic distortion and improving system efficiency. Key implemented functions include rotor-side converter control, grid-side converter synchronization, and dc-link voltage regulation.
This model enables detailed performance analysis of doubly-fed converters, evaluating their application potential in modern power systems. Through simulation experiments, users can validate operational characteristics including dynamic response, fault ride-through capability, and power quality metrics. The modular design allows for parameter adjustments and control strategy modifications, facilitating exploration of various operational scenarios and optimization opportunities.
The MATLAB implementation includes configurable subsystems for:
- PWM signal generation using SVPWM algorithm with voltage vector sector identification
- dq-frame current controllers with PI regulation loops
- Phase-locked loop (PLL) synchronization for grid connection
- Protection circuits and fault condition handling
This simulation platform serves as a powerful development tool for researching doubly-fed converter technologies, supporting both educational purposes and industrial application development through customizable code structure and real-time parameter tuning capabilities.
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