A Novel Real-Time Decision Support Framework to Avoid Fast-Evolving Cascading Failures

In this paper, a novel wide-area monitoring protection and control framework has been presented. It is designed to make decisions in real-time to assess the vulnerabilities of the system and to implement any necessary mitigative actions. The framework uses databases and models generated through extensive offline simulation and analysis. These artefacts are used for real-time security analysis and mitigation. The design and applicability of the framework has been tested using a synthetic model of the Texas grid, using a case of fast-evolving cascading failure. Its performance has been compared against that of conventional load shedding schemes.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2025-07-14
DOI
https://doi.org/10.1109/tpwrs.2025.3588793
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
Controls
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article

A Novel Real-Time Decision Support Framework to Avoid Fast-Evolving Cascading Failures

Bikiran Guha, Alexander Flueck
1 citations
IEEE Transactions on Power Systems
Fault Detection and Control Systems
1.21
article

A Novel Real-Time Decision Support Framework to Avoid Fast-Evolving Cascading Failures

Bikiran Guha, Alexander Flueck
article en
1 citations

Abstract

In this paper, a novel wide-area monitoring protection and control framework has been presented. It is designed to make decisions in real-time to assess the vulnerabilities of the system and to implement any necessary mitigative actions. The framework uses databases and models generated through extensive offline simulation and analysis. These artefacts are used for real-time security analysis and mitigation. The design and applicability of the framework has been tested using a synthetic model of the Texas grid, using a case of fast-evolving cascading failure. Its performance has been compared against that of conventional load shedding schemes.

IEEE Transactions on Power SystemsVol. 41(1)
Illinois Institute of Technology (US), Hitachi (Japan) (JP)
Openalex Percentile: Top 19%
Fault Detection and Control Systems
1.21
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A Novel Real-Time Decision Support Framework to Avoid Fast-Evolving Cascading Failures — Bikiran Guha, Alexander Flueck · IEEE Transactions on Power Systems (2025) | TGRS Research Map | TGRS