A Data-driven Method for Transient Stability Margin Prediction Based on Security Region

A Data-driven Method for Transient Stability Margin Prediction Based on Security Region

Transient stability assessment (TSA) based on security region is of great significance to the security of power systems. In this paper, we propose a novel methodology for the assessment of online transient stability margin. Combined with a geographic information system (GIS) and transformation rules...

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Bibliographic Details
Main Authors: Jun An, Jiachen Yu, Zonghan Li, Yibo Zhou, Gang Mu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Security region
computer-vision-based power flow image (CVPFI)
transient stability margin
convolutional neural network (CNN)
comprehensive network
Online Access:https://ieeexplore.ieee.org/document/9275594/

Internet

https://ieeexplore.ieee.org/document/9275594/

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