Litcius/Paper detail

Frequency-Coupled Impedance Modeling and Resonance Analysis of DFIG-Based Offshore Wind Farm With HVDC Connection

Yong Gang Zhang, Christian Klabunde, Martin Wolter

2020IEEE Access38 citationsDOIOpen Access PDF

Abstract

Motivated by recent years' resonance incidents in wind-integrated power systems, this paper investigates the resonance-induced harmonic distortion and stability issues in doubly fed induction generator (DFIG)-based offshore wind farm (OWF) with high-voltage direct current (HVDC) grid connection. To accurately capture the dynamic characteristics of DFIG-based wind farm, a comprehensive impedance modelling considering the detailed PI control loop and DC dynamics of wind turbine as well as the cable connections of the medium-voltage (MV) collector system is conducted. Through stepwise simulation verifications, aggregated modelling of MV collector system is proved to be suitable for wideband resonance analysis. On this basis, the resonance analysis regarding grid topology change and controller parameter variation is conducted and the impact of frequency coupling on subsynchronous resonance (SSR), middle- and high-frequency resonances is analyzed using the aggregated models derived from a practical HVDC connected DFIG-based OWF. The strength or degree of the frequency coupling between the sequence impedances of wind farm, which is induced by the asymmetrical converter control of wind turbines, is found to be dependent on the impedances of all the components of the system. Moreover, case studies are conducted to demonstrate the importance of including the frequency coupling in SSR stability assessment. Simulations in MATLAB / Simulink validate the modelling and resonance analysis.

Topics & Concepts

Offshore wind powerInduction generatorControl theory (sociology)Electrical impedanceEquivalent impedance transformsWind powerResonance (particle physics)Coupling (piping)Computer scienceEngineeringPhysicsElectrical engineeringControl (management)Particle physicsMechanical engineeringArtificial intelligenceMicrogrid Control and OptimizationHVDC Systems and Fault ProtectionIslanding Detection in Power Systems