Revisiting Power Systems Time-Domain Simulation Methods and Models

Jose Daniel Lara, Rodrigo Henriquez-Auba, Deepak Ramasubramanian, Sairaj Dhople, Duncan Callaway, Seth Sanders

Research output: Contribution to journalArticlepeer-review

9 Scopus Citations

Abstract

The changing nature of power systems dynamics is challenging present practices related to modeling and study of system-level dynamic behavior. While developing new techniques and models to handle the new modeling requirements, it is also critical to review some of the terminology used to describe existing simulation approaches and the embedded assumptions. This article provides a first-principles review of the simplifications and transformations commonly used in the formulation of time-domain simulation models. It introduces a taxonomy and classification of time-domain simulation models depending on their frequency bandwidth, network representation, and software availability. Furthermore, it focuses on the fundamental aspects of averaging techniques, and model reduction approaches that result in modeling choices, and discusses the associated challenges and opportunities of applying these methods in systems with large shares of Inverter Based Resources (IBRs). The article concludes with an illustrative simulation that compares the trajectories of an IBR-dominated system.
Original languageAmerican English
Pages (from-to)2421-2437
Number of pages17
JournalIEEE Transactions on Power Systems
Volume39
Issue number2
DOIs
StatePublished - 2024

NREL Publication Number

  • NREL/JA-6A40-90687

Keywords

  • behavioral sciences
  • computational modeling
  • integrated circuit modeling
  • mathematical models
  • power system dynamics
  • taxonomy
  • time-domain analysis

Fingerprint

Dive into the research topics of 'Revisiting Power Systems Time-Domain Simulation Methods and Models'. Together they form a unique fingerprint.

Cite this