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Title: Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques

Abstract

Power system simulation tools are traditionally developed in sequential mode and codes are optimized for single core computing only. However, the increasing complexity in the power grid models requires more intensive computation. The traditional simulation tools will soon not be able to meet the grid operation requirements. Therefore, power system simulation tools need to evolve accordingly to provide faster and better results for grid operations. This paper presents an integrated state estimation and contingency analysis software implementation using high performance computing techniques. The software is able to solve large size state estimation problems within one second and achieve a near-linear speedup of 9,800 with 10,000 cores for contingency analysis application. The performance evaluation is presented to show its effectiveness.

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1236314
Report Number(s):
PNNL-SA-109573
TE1103000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: 9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015), December 9-11, 2015, New Delhi, India. IFLAC-PapersOnLine, 48(30):227-232
Country of Publication:
United States
Language:
English

Citation Formats

Chen, Yousu, Glaesemann, Kurt R., Rice, Mark J., and Huang, Zhenyu. Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques. United States: N. p., 2015. Web. doi:10.1016/j.ifacol.2015.12.382.
Chen, Yousu, Glaesemann, Kurt R., Rice, Mark J., & Huang, Zhenyu. Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques. United States. https://doi.org/10.1016/j.ifacol.2015.12.382
Chen, Yousu, Glaesemann, Kurt R., Rice, Mark J., and Huang, Zhenyu. 2015. "Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques". United States. https://doi.org/10.1016/j.ifacol.2015.12.382.
@article{osti_1236314,
title = {Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques},
author = {Chen, Yousu and Glaesemann, Kurt R. and Rice, Mark J. and Huang, Zhenyu},
abstractNote = {Power system simulation tools are traditionally developed in sequential mode and codes are optimized for single core computing only. However, the increasing complexity in the power grid models requires more intensive computation. The traditional simulation tools will soon not be able to meet the grid operation requirements. Therefore, power system simulation tools need to evolve accordingly to provide faster and better results for grid operations. This paper presents an integrated state estimation and contingency analysis software implementation using high performance computing techniques. The software is able to solve large size state estimation problems within one second and achieve a near-linear speedup of 9,800 with 10,000 cores for contingency analysis application. The performance evaluation is presented to show its effectiveness.},
doi = {10.1016/j.ifacol.2015.12.382},
url = {https://www.osti.gov/biblio/1236314}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 31 00:00:00 EST 2015},
month = {Thu Dec 31 00:00:00 EST 2015}
}

Conference:
Other availability
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