Parallel computing environments and methods for power distribution system simulation

Ning Lu, Z. Todd Taylor, Dave P. Chassin, Ross Guttromson, Scott Studham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The development of cost-effective high-performance parallel computing on multi-processor supercomputers makes it attractive to port excessively time consuming simulation software from personal computers (PC) to super computes. The power distribution system simulator (PDSS) takes a bottom-up approach and simulates load at the appliance level, where detailed thermal models for appliances are used. This approach works well for a small power distribution system consisting of a few thousand appliances. When the number of appliances increases, the simulation uses up the PC memory and its runtime increases to a point where the approach is no longer feasible to model a practical large power distribution system. This paper presents an effort made to port a PC-based power distribution system simulator to a 128-processor shared-memory supercomputer. The paper offers an overview of the parallel computing environment and a description of the modification made to the PDSS model. The performance of the PDSS running on a standalone PC and on the supercomputer is compared. Future research direction of utilizing parallel computing in the power distribution system simulation is also addressed.

Original languageEnglish (US)
Title of host publication2005 IEEE Power Engineering Society General Meeting
Pages215-219
Number of pages5
StatePublished - Oct 31 2005
Event2005 IEEE Power Engineering Society General Meeting - San Francisco, CA, United States
Duration: Jun 12 2005Jun 16 2005

Publication series

Name2005 IEEE Power Engineering Society General Meeting
Volume1

Other

Other2005 IEEE Power Engineering Society General Meeting
Country/TerritoryUnited States
CitySan Francisco, CA
Period6/12/056/16/05

Keywords

  • Load modeling
  • Message passing interface (MPI)
  • Multi-processor supercomputer
  • Parallel computation

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