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. https://doi.org/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. https://doi.org/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},
url = {https://www.osti.gov/biblio/1339035},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 18 00:00:00 EDT 2016},
month = {Mon Jul 18 00:00:00 EDT 2016}
}
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