Applying reduced generator models in the coarse solver of parareal in time parallel power system simulation

Nan Duan, Aleksandar Dimitrovski, Srdjan Simunovic, Kai Sun

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

15 Scopus citations

Abstract

The development of high-performance computing techniques and platforms has provided many opportunities for real-time or even faster-than-real-time implementation of power system simulations. One approach uses the Parareal in time framework. The Parareal algorithm has shown promising theoretical simulation speedups by temporal decomposing a simulation run into a coarse simulation on the entire simulation interval and fine simulations on sequential sub-intervals linked through the coarse simulation. However, it has been found that the time cost of the coarse solver needs to be reduced to fully exploit the potentials of the Parareal algorithm. This paper studies a Parareal implementation using reduced generator models for the coarse solver and reports the testing results on the IEEE 39-bus system and a 327-generator 2383-bus Polish system model.

Original languageEnglish
Title of host publicationISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe
PublisherIEEE Computer Society
ISBN (Electronic)9781509033584
DOIs
StatePublished - Jul 2 2016
Event2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016 - Ljubljana, Slovenia
Duration: Oct 9 2016Oct 12 2016

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe

Conference

Conference2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
Country/TerritorySlovenia
CityLjubljana
Period10/9/1610/12/16

Keywords

  • High-performance computing
  • Parareal in time
  • parallel algorithms
  • power system dynamics
  • transient stability

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