Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability
Highlights A fast TSA scheme for pre-failure scanning. A physical mechanism-based attention structure for dynamic graph pooling. A node regression model that responds to key physical mechanisms. Generator label for richer output information. Top performance and post-hoc interpretation.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-01-01
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| Series: | Protection and Control of Modern Power Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41601-023-00278-x |
| _version_ | 1811171663120695296 |
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| author | Liukai Chen Lin Guan |
| author_facet | Liukai Chen Lin Guan |
| author_sort | Liukai Chen |
| collection | DOAJ |
| description | Highlights A fast TSA scheme for pre-failure scanning. A physical mechanism-based attention structure for dynamic graph pooling. A node regression model that responds to key physical mechanisms. Generator label for richer output information. Top performance and post-hoc interpretation. |
| first_indexed | 2024-04-10T17:18:47Z |
| format | Article |
| id | doaj.art-d7286e62482f473d93ca778bf5c10298 |
| institution | Directory Open Access Journal |
| issn | 2367-2617 2367-0983 |
| language | English |
| last_indexed | 2024-04-10T17:18:47Z |
| publishDate | 2023-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Protection and Control of Modern Power Systems |
| spelling | doaj.art-d7286e62482f473d93ca778bf5c102982023-02-05T12:16:06ZengSpringerOpenProtection and Control of Modern Power Systems2367-26172367-09832023-01-018111610.1186/s41601-023-00278-xStatic information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretabilityLiukai Chen0Lin Guan1School of Electric Power, South China University of TechnologySchool of Electric Power, South China University of TechnologyHighlights A fast TSA scheme for pre-failure scanning. A physical mechanism-based attention structure for dynamic graph pooling. A node regression model that responds to key physical mechanisms. Generator label for richer output information. Top performance and post-hoc interpretation.https://doi.org/10.1186/s41601-023-00278-xTransient stability assessment (TSA)Data-drivenExplainableGraph neural network (GNN)Self-attention |
| spellingShingle | Liukai Chen Lin Guan Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability Protection and Control of Modern Power Systems Transient stability assessment (TSA) Data-driven Explainable Graph neural network (GNN) Self-attention |
| title | Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability |
| title_full | Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability |
| title_fullStr | Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability |
| title_full_unstemmed | Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability |
| title_short | Static information, K-neighbor, and self-attention aggregated scheme: a transient stability prediction model with enhanced interpretability |
| title_sort | static information k neighbor and self attention aggregated scheme a transient stability prediction model with enhanced interpretability |
| topic | Transient stability assessment (TSA) Data-driven Explainable Graph neural network (GNN) Self-attention |
| url | https://doi.org/10.1186/s41601-023-00278-x |
| work_keys_str_mv | AT liukaichen staticinformationkneighborandselfattentionaggregatedschemeatransientstabilitypredictionmodelwithenhancedinterpretability AT linguan staticinformationkneighborandselfattentionaggregatedschemeatransientstabilitypredictionmodelwithenhancedinterpretability |