TITLE: Uncertainty Propagation and Dynamic Security Assessment of Power Systems with Grid-Forming Resource
ABSTRACT: The transient stability assessment of power systems with Grid-Forming (GFM) resources is a challenging problem. At present, it re
mains unknown whether the uncertain operating conditions of GFM assets impact their transient stability. In this work, we introduce a multivariate polynomial approach to propagate initial-condition uncertainties through nonlinear dynamics of power systems with GFM resources and ascertain stability of the system. This was achieved by developing an analytical model of a GFM power plant and an efficient algorithm for the truncated multiplication of multivariate polynomials. This framework was extended to develop an offline dynamic security assessment (DSA) tool that can be used for operational planning.
BIO: Soummya Roy is a Ph.D. candidate in the Electrical Engineering department at Iowa State University advised by Dr. Hugo N. Villegas-Pico. His research interests lie in the intersection of power system modeling, dynamics and control. He received his bachelor’s degree in electrical engineering from the National Institute of Technology, Warangal, India in 2016 and his Master of Science in electrical and computer engineering from Iowa State University in 2020 with his thesis titled “Data driven complexity reduction of power system production cost models”.
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