Power Grid transient stability prediction method based on improved CNN under big data background-Reference-Cited by-同舟云学术

Power Grid transient stability prediction method based on improved CNN under big data background

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Asian Conference on Frontiers of Power and Energy (ACFPE)
language:
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Author:

Zhou Jun¹,Li Mukun¹,Du Liyang²,Xi Zihan²

Affiliation:

1. Power supply service command center of State Grid Chongqing Y ongchuan power supply company,Chongqing,China

2. State Grid Chongqing electric power company information and communication branch control center,Chongqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9952189/9952174/09952211.pdf?arnumber=9952211

Reference12 articles.

1. Transient voltage stability evaluation based on feature and convolutional neural network[J];wenqing;Engineering Journal of Wuhan University,2019

2. Characteristic Analysis and Risk Assessment for Voltage–Frequency Coupled Transient Instability of Large-Scale Grid-Connected Renewable Energy Plants During LVRT

3. Multi-task Transient Stability Assessment of Power System Incorporating Graph Embedding Algorithm[J];lixia;Automation of Electric Power Systems,2022

4. Networked Time Series Shapelet Learning for Power System Transient Stability Assessment

5. Analytical on‐line method of determining transient stability margin using protection information for asymmetric faults

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