Versatile and Robust Transient Stability Assessment via Instance Transfer Learning
| العنوان: | Versatile and Robust Transient Stability Assessment via Instance Transfer Learning |
|---|---|
| المؤلفون: | Seyedali Meghdadi, Guido Tack, Ariel Liebman, Nicolas Langrene, Christoph Bergmeir |
| المصدر: | 2021 IEEE Power & Energy Society General Meeting (PESGM). |
| بيانات النشر: | IEEE, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control |
| الوصف: | To support N-1 pre-fault transient stability assessment, this paper introduces a new data collection method in a data-driven algorithm incorporating the knowledge of power system dynamics. The domain knowledge on how the disturbance effect will propagate from the fault location to the rest of the network is leveraged to recognise the dominant conditions that determine the stability of a system. Accordingly, we introduce a new concept called Fault-Affected Area, which provides crucial information regarding the unstable region of operation. This information is embedded in an augmented dataset to train an ensemble model using an instance transfer learning framework. The test results on the IEEE 39-bus system verify that this model can accurately predict the stability of previously unseen operational scenarios while reducing the risk of false prediction of unstable instances compared to standard approaches. Comment: Accepted at the 2021 IEEE PES General Meeting, July 25-29 2020, Washington, DC, USA |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab76b830724b9a535c586d9bb4a1233 https://doi.org/10.1109/pesgm46819.2021.9638195 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....2ab76b830724b9a535c586d9bb4a1233 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |