Event Detection, Classification and Localization in an Active Distribution Grid Using Data-Driven System Identification, Weighted Voting and Graph
Author:
Affiliation:
1. The School of EECS, Washington State University, Pullman, WA, USA
2. School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
3. Washington State University, Pullman, Washington, United States
Funder
U.S. Department of Energy through SolarSTART
UI-ASSIST
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
https://ieeexplore.ieee.org/ielam/5165411/10106635/9915447-aam.pdf
Reference31 articles.
1. Identification of fault location in power distribution system with distributed generation using support vector machines
2. Partial Knowledge Data-Driven Event Detection for Power Distribution Networks
3. Denoising and Bad Data Detection in Distribution Phasor Measurements using Filtering, Clustering and Koopman Mode Analysis
4. Distribution system event detection and classification using local voltage measurements
5. Sparsity-promoting dynamic mode decomposition
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2. Event Signatures in H-PMU Measurements: An Information-Theoretic Analysis of Real-World Data;2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2024-02-19
3. Synchro Phasor-Based Fault Analysis for Smart Grid Systems;2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET);2023-12-21
4. Cause Identification Method of Power Quality Problems in Rural Low-Voltage Distribution Network Driven by Mechanism-Data Combination;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15
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