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Title: Decision support systems and methods for complex networks

Abstract

Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

Inventors:
 [1];  [1];  [1];  [1];  [1];  [2]
  1. Richland, WA
  2. Seattle, WA
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1035797
Patent Number(s):
8,126,804
Application Number:
12/409,103
Assignee:
Battelle Memorial Institute (Richland, WA)
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Huang, Zhenyu, Wong, Pak Chung, Ma, Jian, Mackey, Patrick S, Chen, Yousu, and Schneider, Kevin P. Decision support systems and methods for complex networks. United States: N. p., 2012. Web.
Huang, Zhenyu, Wong, Pak Chung, Ma, Jian, Mackey, Patrick S, Chen, Yousu, & Schneider, Kevin P. Decision support systems and methods for complex networks. United States.
Huang, Zhenyu, Wong, Pak Chung, Ma, Jian, Mackey, Patrick S, Chen, Yousu, and Schneider, Kevin P. Tue . "Decision support systems and methods for complex networks". United States. https://www.osti.gov/servlets/purl/1035797.
@article{osti_1035797,
title = {Decision support systems and methods for complex networks},
author = {Huang, Zhenyu and Wong, Pak Chung and Ma, Jian and Mackey, Patrick S and Chen, Yousu and Schneider, Kevin P},
abstractNote = {Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.},
doi = {},
url = {https://www.osti.gov/biblio/1035797}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {2}
}

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