Battelle Memorial Institute

Xinya Li

Qiuhua Huang

Jeffery E Dagle

Ruisheng Diao

Mallikarjuna Vallem

Renke Huang

Marcelo A Elizondo

Nader A Samaan

George Chin, Jr

Bharat Vyakaranam

Yousu Chen

Kirsten L Pierce

Blaine J McGary

Xiaoyuan Fan

Emily L Barrett

Dimitri V Zarzhitsky

James G O'Brien

Zhangshuan Hou

Pavel V Etingov

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.

Enhanced dynamic contingency analysis for power systems

Techniques and apparatuses are described that enable transformative Remedial Action Scheme (RAS) analyses and methodologies for a bulk electric power system, including methods of designing, reviewing, revising, testing, implementing, verifying, or validating a RAS. An improved RAS improves operation of the power system, including performance, reliability, control, and asset utilization. The example methodologies discussed&#x2014;also referred to as a transformative Remedial Action Scheme tool (TRAST)&#x2014;provide an end-to-end solution for adaptively setting RAS parameters based on realistic and near real-time operation conditions to improve power grid reliability and grid asset utilization, by leveraging utility data analysis and employing dynamic simulations and machine learning to significantly simplify and shorten the entire RAS process.

Transformative remedial action scheme tool (TRAST)

Growing community of inventors

Richland, WA, United States of America

Xinya Li