Vijay Vittal, Southeast University visiting professor appointment ceremony and academic report

发布时间:2016-08-08

Report title: Risk Based Transient Security Assessment Using Protection Modeling with High Penetration of Wind Resources


Vijay Vittal joined the ASU faculty in 2005. Prior to ASU, he was an Anston Marston Distinguished Professor at Iowa State University’s, Electrical and Computer Engineering Department. In addition, he was a Murray and Ruth Harpole Professor and director of the university’s Electric Power Research Center and site director of the NSF/IUCRC Power System Engineering Research Center (PSERC). Currently, he is the director of PSERC, headquartered at ASU. From 1993 to 1994, he served as the program director of power systems for the NSF Division of Electrical and Communication Systems in Washington, D.C. He was the editor-in-chief of the IEEE Transactions on Power Systems from 2005 to 2011. Vittal has published 154 articles in refereed journals, 130 refereed conference proceeding articles, twelve books and book chapters, and 13 research and technical reports.

Research expertise: Electric power, power system dynamics and controls, nonlinear systems, computer applications in power, sustainable energy, modeling and simulation of complex systems.


Abstract:

The objective of this presentation is to explore the efficacy of applying risk-based security assessment (RBSA) to define reliability standards for electricity grids with high penetration of converter-interfaced generation. A novel approach to estimate the impact of transient instability is presented in this presentation by modelling several important protection systems in the transient stability analysis. In addition, a probabilistic model is developed to capture the uncertainty of increased converter-interfaced renewable penetration. A synthetic test case is derived from a realistic power system to verify the proposed method. The simulation results show that RBSA not only provides significantly relaxed security limits, but also helps in identifying critical aspects of system reliability.