Synchrophasor network-based detection and classification of power system events: A singular value decomposition approach-Reference-Cited by-同舟云学术

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Synchrophasor network-based detection and classification of power system events: A singular value decomposition approach

Published:2023-10 Issue: Volume:223 Page:109645
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Pourramezan Reza^ORCID,Karimi Houshang,Mahseredjian Jean

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference23 articles.

1. IEEE Standard for Synchrophasor Measurements for Power Systems, IEEE Std C37.118.1-2011 (Revision of IEEE Std C37.118-2005), 2011, pp. 1–61.

2. Post-disturbance transient stability status prediction using synchrophasor measurements;Gurusinghe;IEEE Trans. Power Syst.,2016

3. Online detection of events with low-quality synchrophasor measurements based on iforest;Wu;IEEE Trans. Ind. Inform.,2020

4. A novel event detection method using PMU data with high precision;Cui;IEEE Trans. Power Syst.,2019

5. Event detection and its signal characterization in PMU data stream;Negi;IEEE Trans. Ind. Inform.,2017

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. Grid-aware learning of characterized waveform measurements for power quality and transient events situational awareness;Electric Power Systems Research;2024-11

2. PMUs data based detection of oscillatory events and identification of their associated variable: Estimation of information measures approach;Sustainable Energy, Grids and Networks;2024-09

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