Towards Progressively Detecting Faults in a Large Power System: A Visual Analytics Approach-Reference-Cited by-同舟云学术

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Towards Progressively Detecting Faults in a Large Power System: A Visual Analytics Approach

Published:2023-05 Issue:3 Volume:59 Page:2904-2912
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Xie Rengan¹,Wang Fei¹^ORCID,Li Wenchen²,Huang Yanhao²,Peng Wenjie¹,Zhang Shujun³,Zheng Wenting¹^ORCID

Affiliation:

1. College of Computer Science, Technology, Zhejiang University, Hangzhou, China

2. China Electric Power Research Institute, Beijing, China

3. Grid Zhejiang Electric Power Company Ltd., Hangzhou, China

Funder

State Grid Corporation of China's Project: Research on Key Technologies of Power Grid Intelligent Simulation Analysis Platform

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10129267/10054126.pdf?arnumber=10054126

Reference31 articles.

1. WaveLines: towards effective visualization and analysis of stability in power grid simulation

2. Visualizing the electric grid

3. Fault-Induced Transient Detection Based on Real-Time Analysis of the Wavelet Coefficient Energy

4. Visual Analytics for Power Grid Contingency Analysis

5. THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE

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