@inproceedings{4a812ff57a934ae9a101cb83e7c1b5f7,
title = "Parallel computing environments and methods for power distribution system simulation",
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.",
keywords = "Load modeling, Message passing interface (MPI), Multi-processor supercomputer, Parallel computation",
author = "Ning Lu and Taylor, {Z. Todd} and Chassin, {Dave P.} and Ross Guttromson and Scott Studham",
year = "2005",
language = "English (US)",
isbn = "078039156X",
series = "2005 IEEE Power Engineering Society General Meeting",
pages = "215--219",
booktitle = "2005 IEEE Power Engineering Society General Meeting",
note = "2005 IEEE Power Engineering Society General Meeting ; Conference date: 12-06-2005 Through 16-06-2005",
}