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Title: A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2

Abstract

Designing and planing next generation power grid sys- tems composed of large power distribution networks, monitoring and control networks, autonomous generators and consumers of power requires advanced simulation infrastructures. The objective is to predict and analyze in time the behavior of networks of systems for unexpected events such as loss of connectivity, malicious attacks and power loss scenarios. This ultimately allows one to answer questions such as: “What could happen to the power grid if ...”. We want to be able to answer as many questions as possible in the shortest possible time for the largest possible systems. In this paper we present a new High Performance Computing (HPC) oriented simulation infrastructure named Next Generation Network and System Simulator (NGNS2 ). NGNS2 allows for the distribution of a single simulation among multiple computing elements by using MPI and OpenMP threads. NGNS2 provides extensive configuration, fault tolerant and load balancing capabilities needed to simulate large and dynamic systems for long periods of time. We show the preliminary results of the simulator running approximately two million simulated entities both on a 64-node commodity Infiniband cluster and a 48-core SMP workstation.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1089100
Report Number(s):
PNNL-SA-90518
KC0302020
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: 2012 SC Companion: High Performance Computing, Networking and Analytics for the Power Grid (SCC), November 10-16, 2012, Salt Lake City, Utah, 313-322
Country of Publication:
United States
Language:
English
Subject:
Simulation, power grid, netowrks

Citation Formats

Villa, Oreste, Tumeo, Antonino, Ciraci, Selim, Daily, Jeffrey A., and Fuller, Jason C. A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2. United States: N. p., 2012. Web. doi:10.1109/SC.Companion.2012.50.
Villa, Oreste, Tumeo, Antonino, Ciraci, Selim, Daily, Jeffrey A., & Fuller, Jason C. A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2. United States. doi:10.1109/SC.Companion.2012.50.
Villa, Oreste, Tumeo, Antonino, Ciraci, Selim, Daily, Jeffrey A., and Fuller, Jason C. Sun . "A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2". United States. doi:10.1109/SC.Companion.2012.50.
@article{osti_1089100,
title = {A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2},
author = {Villa, Oreste and Tumeo, Antonino and Ciraci, Selim and Daily, Jeffrey A. and Fuller, Jason C.},
abstractNote = {Designing and planing next generation power grid sys- tems composed of large power distribution networks, monitoring and control networks, autonomous generators and consumers of power requires advanced simulation infrastructures. The objective is to predict and analyze in time the behavior of networks of systems for unexpected events such as loss of connectivity, malicious attacks and power loss scenarios. This ultimately allows one to answer questions such as: “What could happen to the power grid if ...”. We want to be able to answer as many questions as possible in the shortest possible time for the largest possible systems. In this paper we present a new High Performance Computing (HPC) oriented simulation infrastructure named Next Generation Network and System Simulator (NGNS2 ). NGNS2 allows for the distribution of a single simulation among multiple computing elements by using MPI and OpenMP threads. NGNS2 provides extensive configuration, fault tolerant and load balancing capabilities needed to simulate large and dynamic systems for long periods of time. We show the preliminary results of the simulator running approximately two million simulated entities both on a 64-node commodity Infiniband cluster and a 48-core SMP workstation.},
doi = {10.1109/SC.Companion.2012.50},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {11}
}

Conference:
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