Frequency event detection and mitigation in power systems: A systematic literature review
Modern power systems characterized by complex topologies require accurate situational
awareness to maintain an adequate level of reliability. Since they are large and spread over …
awareness to maintain an adequate level of reliability. Since they are large and spread over …
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 …
Data-driven event identification in the US power systems based on 2D-OLPP and RUSBoosted trees
Accurate event identification is an essential part of situation awareness ability for power
system operators. Therefore, this work proposes an integrated event identification algorithm …
system operators. Therefore, this work proposes an integrated event identification algorithm …
Frequency disturbance event detection based on synchrophasors and deep learning
Power system frequency disturbances are caused by various generation and transmission
events including generator trips, load disconnections, line trips, etc. Accurate detections of …
events including generator trips, load disconnections, line trips, etc. Accurate detections of …
Real-time multiple event detection and classification in power system using signal energy transformations
Real-time multiple event analysis is important for reliable situational awareness and secure
operation of the power system. Multiple sequential events can induce complex …
operation of the power system. Multiple sequential events can induce complex …
A power system disturbance classification method robust to PMU data quality issues
Data quality issues exist in practical phasor measurement units (PMUs) due to
communication errors or signal interferences. As a result, the performances of existing data …
communication errors or signal interferences. As a result, the performances of existing data …
Power grid online surveillance through PMU-embedded convolutional neural networks
Power grid operation continuously undergoes state transitions caused by internal and
external uncertainties, eg, equipment failures and weather-driven faults, among others. This …
external uncertainties, eg, equipment failures and weather-driven faults, among others. This …
Fast power system event identification using enhanced LSTM network with renewable energy integration
Accurate and fast event identification in power systems is critical for taking timely controls to
avoid instability. In this paper, a synchrophasor measurement-based fast and robust event …
avoid instability. In this paper, a synchrophasor measurement-based fast and robust event …
Real-time event classification in power system with renewables using kernel density estimation and deep neural network
Real-time classification of events facilitates corrective control strategies, supervisory
protection schemes, and on-line transient stability assessment of a power system. The …
protection schemes, and on-line transient stability assessment of a power system. The …
Reconfigurable real-time power grid emulator for systems with high penetration of renewables
Novel power system control and new utility devices need to be tested before their actual
deployment to the power grid. To assist with such a testing need, real-time digital emulators …
deployment to the power grid. To assist with such a testing need, real-time digital emulators …