Small signal stability analysis for different types of PMSGs connected to the grid

Da Xie, Yupu Lu, Junbo Sun, Chenghong Gu

Research output: Contribution to journalArticlepeer-review

59 Citations (SciVal)
212 Downloads (Pure)


Small signal stability of permanent magnet synchronous generator (PMSG)-based wind turbines connected to the power grid should be studied properly in order to facilitate damping strategy design. In this paper, unified small-signal models for different types of PMSGs are developed to study their small-signal stability. The models are composed of mechanical systems, electrical systems and control systems. A two-mass shaft model for the mechanical system is provided to analyze the dynamic and steady-state behaviors of the wind turbine and generator rotor. Meanwhile, PMSG, converter system and transmission line are separately modeled to build unified small-signal models for three PMSG-based wind turbine generator systems (WTGS). Then, based on unified small-signal models, eigenvalue analysis is conducted to determine the relation between different oscillation modes and state variables through calculating participation factors. With modal analysis, the developed small signal models are able to find out all types of oscillation modes for PMSGs connected to the power grid, which are subsynchronous oscillation (SSO), subsynchronous control interaction (SSCI) and low-frequency oscillation, including frequency and damping of each oscillation mode. Different initial values of the small signal models can influence both frequencies and damping ratios of oscillation modes, which lay basis for further damping strategy study.

Original languageEnglish
Pages (from-to)149-164
Number of pages16
JournalRenewable Energy
Early online date11 Jan 2017
Publication statusPublished - 1 Jun 2017


  • Converter system
  • Eigenvalue analysis
  • PMSG-based wind turbine
  • Small-signal stability
  • Two-mass shaft model


Dive into the research topics of 'Small signal stability analysis for different types of PMSGs connected to the grid'. Together they form a unique fingerprint.

Cite this