A Novel Data Driven Model for Voltage Stability Status Prediction and Instability Mitigation Article Swipe
F. Kh. Alabbas
,
M. Khalilifar
,
S. Mohammad Shahrtash
,
Davood Arab Khaburi
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1155/etep/6575682
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1155/etep/6575682
An intelligent power system is either a system that is smartly designed from zero to 100, or a system that was not smartly designed but currently uses all its facilities to be smartly operated in different sectors. This paper presents a novel data‐driven model for real time voltage instability diagnosis and instability mitigating. The method combines deep recurrent neural techniques to forecast future voltage stability and mathematical morphology (MM) tools to pinpoint the specific on‐load tap changers (OLTCs) contributing to instability and issuing blocking commands to prevent their operation and consequently instability. The approach for voltage stability assessment is centralized, using real‐time data, while the method for voltage instability mitigation is localized, focusing on real‐time voltage magnitude related to the secondary side of the load transformer. The network was trained and tested on the Nordic32 test system. Results show that the method accurately predicted the stability status just one second after a disturbance, and successfully mitigated all voltage instability events related to load restoration by blocking only the OLTCs that were effective in causing instability. This selective approach provides a significant selectivity index and improves the system resiliency index.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/etep/6575682
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/etep/6575682
- OA Status
- gold
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410282676
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4410282676Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/etep/6575682Digital Object Identifier
- Title
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A Novel Data Driven Model for Voltage Stability Status Prediction and Instability MitigationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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F. Kh. Alabbas, M. Khalilifar, S. Mohammad Shahrtash, Davood Arab KhaburiList of authors in order
- Landing page
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https://doi.org/10.1155/etep/6575682Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/etep/6575682Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/etep/6575682Direct OA link when available
- Concepts
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Instability, Stability (learning theory), Computer science, Machine learning, Physics, MechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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39Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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