Doubly-Fed Induction Generator (DFIG) Model

Resource Overview

Doubly-fed wind turbine generator model featuring dq-coordinate system implementation with adjustable parameters and control algorithms for performance optimization

Detailed Documentation

In wind power generation systems, a doubly-fed induction generator (DFIG) represents a sophisticated electrical machine design utilizing dual winding sets: stator windings directly connected to the grid and rotor windings interfaced through power electronic converters. This configuration enables variable-speed operation essential for maximizing wind energy capture. The mathematical representation of DFIG in dq-reference frame coordinates can be enhanced through strategic modifications to improve dynamic performance and operational efficiency. Key implementation aspects include: - Coordinate transformation algorithms using Park/Clarke transformations to convert three-phase quantities to dq-axis components - Vector control strategies incorporating proportional-integral (PI) controllers for independent active/reactive power regulation - Rotor-side converter control algorithms implementing maximum power point tracking (MPPT) functionality - Grid-side converter control maintaining DC-link voltage stability and unity power factor operation Model optimization techniques involve: - Parameter identification methods for accurate machine parameter estimation - Adaptive control algorithms compensating for operational condition variations - Fault ride-through capability implementation through crowbar protection circuits - Real-time simulation using MATLAB/Simulink with specialized power systems blocksets Through systematic DFIG model refinement, wind energy conversion systems achieve enhanced grid compatibility, improved fault tolerance, and increased energy yield - significantly advancing renewable energy integration while reducing carbon footprint. Code implementation typically involves dq-frame differential equations, switching control logic, and protection coordination algorithms within modular programming frameworks.