A Rapid Critical Section Identification Method Driven by Convolutional Neural Network-Reference-Cited by-同舟云学术

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A Rapid Critical Section Identification Method Driven by Convolutional Neural Network

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Power System Technology (PowerCon)
language:
Short-container-title:

Author:

Liu Yun¹,Cheng Junxian²,Qiao Feng²

Affiliation:

1. Jiangsu Collaborative Innovation Center for Smart Distribution Network, Nanjing Institute of Technology,Nanjing,China

2. School of Electric Power Engineering, Nanjing Institute of Technology,Nanjing,China

Funder

Nanjing Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330799/10330806/10331090.pdf?arnumber=10331090

Reference14 articles.

1. Determination of power system critical sections in marginal operating conditions;Davydov;Power engineering-academy of sciences of the ussr c/c of izvestiia-akademiia nauk sssr energetika I transport,1992

2. Emergency automatic control of critical sections in the ENEL power system

3. Quick search of transmission sections based on graph theory;Zhou,2006

4. Transmission section identification method based on network segmentation and side path search;He;Power Automation Equipment,2017

5. Determination of voltage stability zones and key sections of the power system;Zhao;Power System Automation,2008

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