A Fast and Accurate Transient Stability Assessment Method Based on Deep Learning: WECC Case Study-Reference-Cited by-同舟云学术

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A Fast and Accurate Transient Stability Assessment Method Based on Deep Learning: WECC Case Study

Published:2022-04-24 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
language:
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Author:

Zhao Yinfeng¹,You Shutang¹,Mandich Mirka¹,Zhu Lin¹,Zhang Chengwen¹,Li Hongyu¹,Su Yu¹,Liu Yilu¹,Jiang Huaiguang²,Yuan Haoyu²,Zhang Yingchen²,Tan Jin²

Affiliation:

1. University of Tennessee at Knoxville

2. National Renewable Energy Laboratory,Golden,CO,USA

Funder

Solar Energy Technologies Office

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817414/9817460/09817531.pdf?arnumber=9817531

Reference18 articles.

1. TensorFlow,0

2. A Deep Imbalanced Learning Framework for Transient Stability Assessment of Power System

3. A Unified Online Deep Learning Prediction Model for Small Signal and Transient Stability

4. A Deep End-to-End Model for Transient Stability Assessment With PMU Data

5. Deep Learning-Based Adaptive Remedial Action Scheme with Security Margin for Renewable-Dominated Power Grids

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Power System Voltage Health Index with PMUs and Graph Convolutional Networks;2023 IEEE Power & Energy Society General Meeting (PESGM);2023-07-16

2. Learning Power System Dynamics with Nearly-Hamiltonian Neural Network;2023 IEEE Power & Energy Society General Meeting (PESGM);2023-07-16

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