An Accurate Screening Technique for the Study of Sub-synchronous Controller Interaction in a Power System having Multiple Wind Generators

This research will investigate methodologies for accurate analysis of Sub-synchronous Controller Interaction (SSCI) in a wind-based power system having multiple Doubly Fed Induction Generators (DFIGs). The approach will extend the candidate’s PhD research which introduced a new method to find a state-space model of a system having multiple HVdc links by using the admittance frequency responses of converters and a state-space model of the ac-network. The resultant model permits quantitative stability studies like eigenvalue and mode-shape analysis, participation factors, sensitivity analysis etc. The same approach can be extended for the study of SSCI in converter based wind power systems by developing a comprehensive integrated approach that combines the various steps. As the method does not require detailed internal information of DFIGs, it is well suited for systems having manufacturer or utility provided black-box models. In collaboration with the industry partner, the approach will be demonstrated using real-world example systems.

Faculty Supervisor:

Aniruddha (Ani) Gole


Mukesh Kumar Das




Engineering - computer / electrical


Professional, scientific and technical services


University of Manitoba


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