Model validation of DFIGs for power system oscillation stability analysis

Siqi Bu, Wenjuan Du, Haifeng Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

The suitability assessment of system modelling is critical to a resource-limited computational environment, which aims to strike a balance between the modelling accuracy and efficiency. In this study, a novel approach to evaluate the damping torque contributions from different dynamic components of doubly fed induction generator (DFIG) to system oscillation stability is first proposed. Then, this approach is employed to investigate the change of DFIG parameters (i.e. parameters of induction generator and converter controllers, and connection status), with the aim of identifying impact mechanism of these parameters on the damping torque contribution of each dynamic component. On this basis, the dynamic model of DFIGs with least orders but acceptable accuracy for oscillation stability analysis can be determined under certain parameter conditions, which undoubtedly brings significant benefits to system planner and operator to mitigate computational burden and save planning time when dealing with large-scale power systems. In this study, the model validation of grid-connected DFIGs is demonstrated in the New York power system - New England test system (NYPS-NETS) example system with 16 machines and 68 buses. Timedomain simulation is used to verify the calculation results of the proposed approach.
Original languageEnglish
Pages (from-to)858-866
Number of pages9
JournalIET Renewable Power Generation
Volume11
Issue number6
DOIs
Publication statusPublished - 10 May 2017

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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