Distributed Parareal in Time with Adaptive Coarse Solver for Large Scale Power System Simulations

Denis Osipov, Nan Duan, Srikanth Allu, Srdjan Simunovic, Aleksandar Dimitrovski, Kai Sun

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

5 Scopus citations

Abstract

This paper describes a distributed Parareal in time algorithm with the adaptive coarse solver. In the distributed algorithm, the propagation of a coarse solution is distributed among processors in addition to the fine solution propagation. In the adaptive coarse solver the complexity of the model is changed based on the size of generator rotor angle deviation. In addition, non-iterative approach to model a ZIP load is presented. The proposed method is tested on the large-scale 5617-machine 70285-bus Eastern Interconnection system.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: Aug 4 2019Aug 8 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period08/4/1908/8/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Adaptive coarse solver
  • Parareal in time
  • coarse solution
  • distributed algorithm
  • fine solution

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