Linear analysis of power systems in the presence of black-boxed simulation models
March 21, 2017
Holiday Inn South, 1330 Pembina Highway, Winnipeg
Small signal stability analysis of power systems is a powerful analysis method that provides an in depth understanding of the dynamic behaviour of the system. Traditionally, the power system device models and controllers were available as library models in small signal software which calculated system matrices. It has become the trend for the power system device manufacturers to make available detailed electromagnetic transient (EMT) software models of their devices. Usually such models are fully or partially black-boxed, in order to conceal advanced control schemes employed in them. The auxiliary control structure and parameters of such simulation models are unknown. The power system device libraries in software are obsolete in the presence of these simulation models. Due to this trend, power system engineers confine system studies to time-domain EMT simulations, forgoing the benefits of linear analysis. A novel method with a simulation based system identification approach has been proposed to realize a linear state space for systems that include unknown/black-boxed power system components. In the proposed method the characteristics of the current injection component in the model i.e. synchronous machine, is assumed to be known, as their models are well established. In this presentation, results for a synchronous machine in both single-machine-infinite-bus (SMIB) system and multi-machine system are presented.
Akbo Rupasinghe received his Bachelor of Science degree in Electrical Engineering from University of Peradeniya, Sri Lanka in 2012. He is currently working towards his PhD degree at the Department of Electrical and Computer Engineering, University of Manitoba, under the supervision of Prof. Udaya Annakkage. His research work focuses on determining linear equivalent models for power system components using simulation based methods.
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