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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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (210 p.)
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ctrlnum (CKB)4100000011302332
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spelling González de la Rosa, Juan-José auth
Analysis for Power Quality Monitoring
MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (210 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
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 goal, systems should work more efficiently, and this fact inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines, and consequently for people. Many researchers are endeavoring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book offers a compilation of the some recent advances in this field. The chapters range from computing issues to technological implementations, going through event detection strategies and new indices and measurement methods that contribute significantly to the advancement of PQ analysis. Experiments have been developed within the frames of research units and projects, and deal with real data from industry and public buildings. Human beings have an unavoidable commitment with sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.
English
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
3-03928-110-0
Donsión, Manuel Pérez auth
language English
format eBook
author González de la Rosa, Juan-José
spellingShingle González de la Rosa, Juan-José
Analysis for Power Quality Monitoring
author_facet González de la Rosa, Juan-José
Donsión, Manuel Pérez
author_variant d l r j j g dlrjj dlrjjg
author2 Donsión, Manuel Pérez
author2_variant m p d mp mpd
author_sort González de la Rosa, Juan-José
title Analysis for Power Quality Monitoring
title_full Analysis for Power Quality Monitoring
title_fullStr Analysis for Power Quality Monitoring
title_full_unstemmed Analysis for Power Quality Monitoring
title_auth Analysis for Power Quality Monitoring
title_new Analysis for Power Quality Monitoring
title_sort analysis for power quality monitoring
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (210 p.)
isbn 3-03928-111-9
3-03928-110-0
illustrated Not Illustrated
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