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Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system
The dynamic nature of distribution networks raises fresh issues with how such electrical
systems function. These networks have some characteristics that indicate the need for better …
systems function. These networks have some characteristics that indicate the need for better …
A real-time hierarchical framework for fault detection, classification, and location in power systems using PMUs data and deep learning
Abstract Frequency Disturbance Events (FDEs) occur due to various events such as
Generator Trip (GT), Line Outage (LO), and Load Disconnection (LD), which affect the …
Generator Trip (GT), Line Outage (LO), and Load Disconnection (LD), which affect the …
Optimal placement of PMUs and communication links for distributed state estimation in distribution networks
With the expansion in scale and complexity of distribution networks, distributed state
estimation (DSE), a real-time database for other on-line applications, is becoming popular …
estimation (DSE), a real-time database for other on-line applications, is becoming popular …
State-of-the-art in synchrophasor measurement technology applications in distribution networks and microgrids
Although synchrophasor measurement technology (SMT) has become a somewhat mature
and operational tool used in transmission-level power networks, its use in active distribution …
and operational tool used in transmission-level power networks, its use in active distribution …
Real‐time cross‐correlation‐based technique for detection and classification of power quality disturbances
S De, S Debnath - IET Generation, Transmission & Distribution, 2018 - Wiley Online Library
This study presents a novel technique for automated power quality (PQ) disturbance
detection and classification in power distribution system using cross‐correlation‐based …
detection and classification in power distribution system using cross‐correlation‐based …
Categorisation of power quality problems using long short‐term memory networks
AA Abdelsalam, AM Hassanin… - IET Generation …, 2021 - Wiley Online Library
Recognition of power quality (PQ) troubles is a critical task in the electrical power system. All
previous works solve this problem using two‐step methodology: Feature extraction and …
previous works solve this problem using two‐step methodology: Feature extraction and …
[HTML][HTML] Impact of inductive current transformers on synchrophasor measurement in presence of modulations
Abstract Instrument Transformers (ITs) are essential devices for all the measurement tasks, fi
metering, protection and diagnostics, in electricity grids, since they scale voltage and current …
metering, protection and diagnostics, in electricity grids, since they scale voltage and current …
Nonlinear analysis on transmission line parameters estimation from noisy phasorial measurements
This paper proposes a complete and novel approach for estimation of impedance and
admittance parameters of transmission lines from phasorial voltage and current …
admittance parameters of transmission lines from phasorial voltage and current …
Egfc: Evolving gaussian fuzzy classifier from never-ending semi-supervised data streams–with application to power quality disturbance detection and classification
Power-quality disturbances lead to several drawbacks such as limitation of the production
capacity, increased line and equipment currents, and consequent ohmic losses; higher …
capacity, increased line and equipment currents, and consequent ohmic losses; higher …