Analysis for Power Quality Monitoring

Analysis for Power Quality Monitoring

We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. Numerous emerging words are in the spotlight, namely: Internet of Things (IoT), Big Data, Smart Cities, Smart Grid, Industry 4.0, etc. To achieve this formidable goa...

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Bibliographic Details
Main Author: González de la Rosa, Juan-José (auth)
Other Authors: Donsión, Manuel Pérez (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
modulation
FPGA
flicker
DC power quality indices
limited resources hardware
low cost monitor
dynamic phasor estimation
harmonics
RMS voltage estimation
islanding operation
embedded system
signal waveform compression
big data
digital signal processing
data scalability
data compression
wind-grid distribution
voltage fluctuations
smart grid (SG) applications
power event detection
modelling
voltage ripple
power quality monitoring
higher-order statistics (HOS)
power distribution systems
power quality disturbances
reconfigurable computing
operation analysis
sensor node
power quality (PQ)
distribution networks
wireless sensor network
reliability
power system measurements
embedded microcontroller
phasor measurement units
IoT
soft computing
smart grids
power quality monitor
induction machines
sensors and instruments for PQ
Kalman filters
low-voltage DC networks
convolution neural network
spectral kurtosis
municipal distribution network
statistical signal processing
detection
power quality disturbance
smart grid
energizing warning
dense-mesh topology
low computational cost
fourth-order statistics
PQ indices and thresholds
machine learning
voltage sags
power quality
computational solutions for advanced metering infrastructure (AMI)
constant amplitude trend
phasor measurement
improved principal component analysis
long-term
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