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Found 6 papers, 0 papers with code
High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates
This technique holds several advantages over contemporary techniques: It utilizes technology that is already deployed in the field, it offers a significant degree of generality, and so far it has displayed a very high-level of sensitivity without sacrificing accuracy.
Proactive and Automatic Underfrequency Load Shedding via PMUs and Particle Filters
Underfrequency (UF) load shedding schemes are traditionally implemented in two ways: One approach is based on manual load shedding, with system operators requesting loads to be shed ahead of anticipated stressful operating conditions.
Distributed Software-Defined Network Architecture for Smart Grid Resilience to Denial-of-Service Attacks
Researchers have proposed using Software Defined Network frameworks to enhance cybersecurity of the smart grid, but there is a lack of benchmarking and comparative analyses among the many techniques.
High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach
This paper presents a model for detecting high-impedance faults (HIFs) using parameter error modeling and a two-step per-phase weighted least squares state estimation (SE) process.
Uncertainty Error Modeling for Non-Linear State Estimation With Unsynchronized SCADA and $μ$PMU Measurements
Distribution systems of the future smart grid require enhancements to the reliability of distribution system state estimation (DSSE) in the face of low measurement redundancy, unsynchronized measurements, and dynamic load profiles.
Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security
Smart Grid (SG) research and development has drawn much attention from academia, industry and government due to the great impact it will have on society, economics and the environment.
