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Title: A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques

Abstract

This paper describes a framework of incorporating smart sampling techniques in a probabilistic look-ahead contingency analysis application. The predictive probabilistic contingency analysis helps to reflect the impact of uncertainties caused by variable generation and load on potential violations of transmission limits.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1339035
Report Number(s):
PNNL-SA-114459
TE1103000
DOE Contract Number:
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE Power and Energy Society General Meeting (PESGM 2016), July 17-21, 2016, Boston, MA
Country of Publication:
United States
Language:
English
Subject:
probablistic; analysis; smart sampling techniques; Yousu; Etingov

Citation Formats

Chen, Yousu, Etingov, Pavel V., Ren, Huiying, Hou, Zhangshuan, Rice, Mark J., and Makarov, Yuri V.. A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques. United States: N. p., 2016. Web. doi:10.1109/PESGM.2016.7741449.
Chen, Yousu, Etingov, Pavel V., Ren, Huiying, Hou, Zhangshuan, Rice, Mark J., & Makarov, Yuri V.. A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques. United States. doi:10.1109/PESGM.2016.7741449.
Chen, Yousu, Etingov, Pavel V., Ren, Huiying, Hou, Zhangshuan, Rice, Mark J., and Makarov, Yuri V.. 2016. "A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques". United States. doi:10.1109/PESGM.2016.7741449.
@article{osti_1339035,
title = {A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques},
author = {Chen, Yousu and Etingov, Pavel V. and Ren, Huiying and Hou, Zhangshuan and Rice, Mark J. and Makarov, Yuri V.},
abstractNote = {This paper describes a framework of incorporating smart sampling techniques in a probabilistic look-ahead contingency analysis application. The predictive probabilistic contingency analysis helps to reflect the impact of uncertainties caused by variable generation and load on potential violations of transmission limits.},
doi = {10.1109/PESGM.2016.7741449},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Conference:
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