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

Zhenping Guo, Xiaowen Su, Kaiyang Huang, Kai Sun, Srdjan Simunovic, Hsiao Dong Chiang

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
JournalIEEE Transactions on Power Systems
DOIs
StateAccepted/In press - 2025

Keywords

  • Cascading outages
  • energy function
  • quasi-steady-state model
  • transient energy margin
  • transient stability

Fingerprint

Dive into the research topics of 'Efficient Simulation of Cascading Outages Using an Energy Function-Embedded Quasi-Steady-State Model'. Together they form a unique fingerprint.

Cite this