Power System Toolbox Updates to Enable Long-Term Variable Time-Step Dynamic Simulation

Thad Haines, Matt Donnelly, Dan Trudnowski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Power System Toolbox (PST) is a MATLAB-based power system transient stability simulator package. In this paper, we report updates to PST that facilitate the study of long-term dynamics (LTD). Most importantly, the differential-algebraic equations that form the basis of the non-linear power system simulation routine have been functionalized and arranged such that any MATLAB, Octave, or custom ODE solver can used. This enables the application of variable time-step solvers which can reduce execution times for long simulations up to 14 times previously possible with PST. Additionally, new models have been developed and incorporated into PST that allow for automatic generation control (AGC) and user defined power injection models. With these updates, PST becomes suitable for the study of LTD issues such as frequency response during significant wind or solar ramps and the associated governor and AGC interactions. Examples showing some use cases and simulation speed ups are presented in this paper. The original software package (PST 3.0), and the updates pertaining to PST 4.0 are publicly available through an MIT open source license.

Original languageEnglish
Title of host publication2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781665408233
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States
Duration: 17 Jul 202221 Jul 2022

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2022-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/TerritoryUnited States
CityDenver
Period17/07/2221/07/22

Keywords

  • Automatic generation control
  • Long-term dynamics
  • Power system dynamics
  • Power System Toolbox

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