NDLI: Performance evaluation of counter-based dynamic load balancing schemes for massive contingency analysis with different computing environments

Content Provider	IEEE Xplore Digital Library
Author	Yousu Chen Zhenyu Huang Chavarria-Miranda, D.
Copyright Year	2010
Description	Author affiliation: Pacific Northwest National Laboratory in Richland Washington, USA (Chavarria-Miranda, D.) \|\| Pacific Northwest National Laboratory, Richland, WA, USA (Yousu Chen; Zhenyu Huang)
Abstract	Contingency analysis is a key function in the Energy Management System (EMS) to assess the impact of various combinations of power system component failures based on state estimation. Contingency analysis is also extensively used in power market operation for feasibility test of market solutions. High performance computing holds the promise of faster analysis of more contingency cases for the purpose of safe and reliable operation of today's power grids with less operating margin and more intermittent renewable energy sources. This paper evaluates the performance of counter-based dynamic load balancing schemes for massive contingency analysis under different computing environments. Insights from the performance evaluation can be used as guidance for users to select suitable schemes in the application of massive contingency analysis. Case studies, as well as MATLAB simulations, of massive contingency cases using the Western Electricity Coordinating Council power grid model are presented to illustrate the application of high performance computing with counter-based dynamic load balancing schemes.
Starting Page	1
Ending Page	6
File Size	417444
Page Count	6
File Format	PDF
ISBN	9781424465491
ISSN	19449925
e-ISBN	9781424465514
e-ISBN	9781424483570
DOI	10.1109/PES.2010.5589536
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Program processors Load management Radiation detectors Ethernet networks Power system dynamics Computational modeling Power grids and Dynamic Load Balancing Contingency Analysis Energy Management System Parallel Computing
Content Type	Text
Resource Type	Article

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