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Title: Enhanced dynamic contingency analysis for power systems

Abstract

The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

Inventors:
; ; ; ; ; ; ; ; ; ; ; ;
Issue Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1987179
Patent Number(s):
11592788
Application Number:
16/827,695
Assignee:
Battelle Memorial Institute (Richland, WA)
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 03/23/2020
Country of Publication:
United States
Language:
English

Citation Formats

Samaan, Nader A., Vyakaranam, Bharat GNVSR, Dagle, Jeffery E., Chen, Yousu, Elizondo, Marcelo A., Vallem, Mallikarjuna R., Etingov, Pavel V., Huang, Qiuhua, Li, Xinya, McGary, Blaine J., Pierce, Kirsten L., Chin, Jr., George, and Zarzhitsky, Dimitri V. Enhanced dynamic contingency analysis for power systems. United States: N. p., 2023. Web.
Samaan, Nader A., Vyakaranam, Bharat GNVSR, Dagle, Jeffery E., Chen, Yousu, Elizondo, Marcelo A., Vallem, Mallikarjuna R., Etingov, Pavel V., Huang, Qiuhua, Li, Xinya, McGary, Blaine J., Pierce, Kirsten L., Chin, Jr., George, & Zarzhitsky, Dimitri V. Enhanced dynamic contingency analysis for power systems. United States.
Samaan, Nader A., Vyakaranam, Bharat GNVSR, Dagle, Jeffery E., Chen, Yousu, Elizondo, Marcelo A., Vallem, Mallikarjuna R., Etingov, Pavel V., Huang, Qiuhua, Li, Xinya, McGary, Blaine J., Pierce, Kirsten L., Chin, Jr., George, and Zarzhitsky, Dimitri V. Tue . "Enhanced dynamic contingency analysis for power systems". United States. https://www.osti.gov/servlets/purl/1987179.
@article{osti_1987179,
title = {Enhanced dynamic contingency analysis for power systems},
author = {Samaan, Nader A. and Vyakaranam, Bharat GNVSR and Dagle, Jeffery E. and Chen, Yousu and Elizondo, Marcelo A. and Vallem, Mallikarjuna R. and Etingov, Pavel V. and Huang, Qiuhua and Li, Xinya and McGary, Blaine J. and Pierce, Kirsten L. and Chin, Jr., George and Zarzhitsky, Dimitri V.},
abstractNote = {The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {2}
}

Works referenced in this record:

Power system security assessment
journal, September 2004


Small-Signal Stability Analysis for Power System Frequency Regulation with Renewable Energy Participation
journal, April 2021


Database Management Module Framework for Dynamic Contingency Analysis and Visualization
conference, August 2020


A Dynamic Contingency Analysis Visualization Tool
conference, August 2020


A Generic Advanced Computing Framework for Executing Windows-based Dynamic Contingency Analysis Tool in Parallel on Cluster Machines
conference, August 2020


Bulk Electric System Protection Model Demonstration with 2011 Southwest Blackout in DCAT
conference, August 2020


Modeling of protection in dynamic simulation using generic relay models and settings
conference, July 2016