Investigation of subsynchronous control interaction in DFIG-based wind farms connected to a series compensated transmission line
Journal article, 2019

The aim of this paper is to investigate the risk for subsynchronous control interaction (SSCI) in doubly-fed induction generator (DFIG) based wind farms connected to series-compensated transmission lines. For this purpose, a detailed analytical model of the frequency-dependent input admittance of the DFIG is derived. The developed admittance model is then used to get insights on the frequency characteristic of the DFIG wind turbine generator unit. In particular, the power-dissipation properties of the DFIG are used to identify those control parameters and operating condition that mainly impact the behaviour of the wind turbine in the subsynchronous frequency range. The admittance model of the wind farm together with the impedance model of the series-compensated transmission line are used to identify the risk for SSCI. Through the use of the Generalized Nyquist Criterion, it is shown that the closed-loop bandwidth of the current controller that regulates the rotor current has a major detrimental impact on the stability of the system. Furthermore, results show that the active power set-point and the level of series compensation also play an important role on the overall system's stability. Time-domain simulations are conducted to validate the theoretical findings.

Subsynchronous resonance (SSR)

Subsynchronous control interaction (SSCI)

Frequency domain analysis

Doubly fed induction generator

Wind power

Author

Selam Chernet

Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

Mebtu Bihonegn Beza

Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

Massimo Bongiorno

Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

International Journal of Electrical Power and Energy Systems

0142-0615 (ISSN)

Vol. 105 765-774

Driving Forces

Sustainable development

Areas of Advance

Energy

Subject Categories

Vehicle Engineering

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.ijepes.2018.09.005

More information

Latest update

12/10/2018