High-Quality Sample Generation for Power System Transient Stability Assessment Based on Data-Driven Methods

Deep learning technology is identified as a valid tool for transient stability assessment (TSA). Moreover, the superior performance of the TSA model depends on generously labeled samples. However, the power grid is dynamic, and some topologies or operation conditions change substantially. The tradit...

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Bibliographic Details
Main Authors: Baoqin Li, Pengfei Fan, Qixin Chen, Rong Li, Kaijun Lin
Format: Article
Language:English
Published: China electric power research institute 2025-01-01
Series:CSEE Journal of Power and Energy Systems
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Online Access:https://ieeexplore.ieee.org/document/10838237/
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