Search NASA⌕ Search

DOE OSTI · 2573360

Efficient Simulation of Cascading Outages Using an Energy Function-Embedded Quasi-Steady-State Model

Abstract

Here, this paper proposed an energy function-embedded quasi-steady-state model for efficient simulation of cascading outages on a power grid while addressing transient stability concerns. Compared to quasi-steady-state models, the proposed model incorporates short-term dynamic simulation and an energy function method to efficiently evaluate the transient stability of a power grid together with outage propagation without transient stability simulation. Cascading outage simulation using the proposed model conducts three steps for each disturbance such as a line outage. First, it performs time-domain simulation for a short term to obtain a post-disturbance trajectory. Second, along the trajectory, the system state with the local maximum potential energy is found and used as the initial point to search for a relevant unstable equilibrium by Newton's method. Third, the transient energy margin is estimated based on this unstable equilibrium to predict an out-of-step condition with generators. The proposed energy function-embedded quasi-steady-state model is tested in terms of its accuracy and time performance on an NPCC 140-bus power system and compared to a quasi-steady-state model embedding transient stability simulation.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Guo, Zhenping [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0009000001295048), Su, Xiaowen [ISO New England, Windsor, CT (United States)], Huang, Kaiyang [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000347156056), Sun, Kai [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000203052725), Simunovic, Srdjan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000177668293), Chiang, Hsiao-Dong [Cornell Univ., Ithaca, NY (United States)] (ORCID:0000000307695071). 2025-01-08. Efficient Simulation of Cascading Outages Using an Energy Function-Embedded Quasi-Steady-State Model. https://doi.org/10.1109/tpwrs.2025.3527811

Cite the original work for its findings. Save a collection to share your selection of sources.