Electric vehicle charging management based on deep reinforcement learning
A time-variable time-of-use electricity price can be used to reduce the charging costs for
electric vehicle (EV) owners. Considering the uncertainty of price fluctuation and the …
electric vehicle (EV) owners. Considering the uncertainty of price fluctuation and the …
A survey on the application of phasor measurement units to the protection of transmission and smart distribution systems
TS Menezes, PHA Barra, FAS Dizioli… - Electric Power …, 2024 - Taylor & Francis
Renewable energy resources have increasingly been integrated into electric power grids.
Moreover, new challenges constantly arise, showing the need for modernization in …
Moreover, new challenges constantly arise, showing the need for modernization in …
Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence
This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …
Real-Time Synchrophasor Data Anomaly Detection and Classification Using Isolation Forest, KMeans, and LoOP
Power grid operators assess situational awareness using time-tagged measurements from
phasor measurement units (PMUs) placed at multiple locations in a network. However …
phasor measurement units (PMUs) placed at multiple locations in a network. However …
A novel protection scheme for multi-terminal transmission lines based on wavelet transform
AR Adly, SHEA Aleem, MA Algabalawy… - Electric Power Systems …, 2020 - Elsevier
Identification of the fault section and fault phase selection are considered the main tasks of a
multi-terminal transmission line protection scheme. The current study classifies the methods …
multi-terminal transmission line protection scheme. The current study classifies the methods …
An island detection approach by μ-PMU with reduced chances of cyber attack
Unplanned islanding of microgrids is a major hindrance in providing continuous power
supply to the critical loads. The detection of these islanding instants needs to be very fast so …
supply to the critical loads. The detection of these islanding instants needs to be very fast so …
Identifying overlapping successive events using a shallow convolutional neural network
Real-time identification of successive events in power systems is crucial to avoid cascading
failures. Existing identification methods are mainly designed for single events and may not …
failures. Existing identification methods are mainly designed for single events and may not …
An island detection methodology with protection against cyber attack
Unplanned islanding of micro-grids is a significant barrier to supplying continuous power to
key customers. The identification of the islanding moments must be rapid to enable the …
key customers. The identification of the islanding moments must be rapid to enable the …
Student Enrollment and Teacher Statistics Forecasting Based on Time‐Series Analysis
S Yang, HC Chen, WC Chen… - Computational …, 2020 - Wiley Online Library
Education competitiveness is a key feature of national competitiveness. It is crucial for
nations to develop and enhance student and teacher potential to increase national …
nations to develop and enhance student and teacher potential to increase national …
Integrated wide-area backup protection algorithm during stressed power system condition in presence of wind farm
Stressed power system conditions such as power swing, voltage instability and load
encroachment may influence the secure operation of conventional backup protection at their …
encroachment may influence the secure operation of conventional backup protection at their …