Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis

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Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis

The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of...

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HerausgeberIn:
Sanjeevikumar, Padmanaban
Leonowicz, Zbigniew
Burgio, Alessandro
Sikorski, Tomasz
Janik, Przemyslaw
Sonstige:
Bracale, Antonio
Sanjeevikumar, Padmanaban
Leonowicz, Zbigniew
Burgio, Alessandro
Sikorski, Tomasz
Janik, Przemyslaw
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (252 p.)
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(oapen)https://directory.doabooks.org/handle/20.500.12854/68992
(EXLCZ)995400000000042928
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record_format marc
spelling Bracale, Antonio edt
Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (252 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of smart grids has prompted investigations into the use of advanced algorithms combined with signal processing methods to provide optimal results. The presented applications are focused on data management with cloud computing, power quality assessment, photovoltaic power plant control, and electrical vehicle charge stations, all supported by modern AI-based optimization methods.
English
History of engineering & technology bicssc
Advanced Metering Infrastructure (AMI)
Distributed Energy Resources (DER)
Distribution Management System (DMS)
Graph Reduction in Parallel (GRIP)
Intelligent Electronic Device (IED)
Intelligent Platform Management Interface (IPMI)
Service Oriented Architecture (SOA)
Ultra Large-Scale System (ULSS)
photovoltaic systems
MPPT technique
partial shading
global MPP (GMPP)
nature-inspired algorithms
congestion management
power flow
generator rescheduling
Flower Pollination Algorithm (FPA)
Pumped Hydro Storage Unit (PHSU)
ancillary services
grid
inverter
PV
reactive power
solar
Quasi-Z source inverter (QZSI)
Y source inverter (YSI)
energy storage system (ESS)
hybrid renewable energy sources (HRES)
demand
load
RBFNOEHO technique
common mode current
common mode voltage
modulation techniques
electromagnetic interference
mitigation
grid connected inverters
rotor angle
small signal stability
householder algorithm
power systems
electric vehicles
charging station
transformer
Energy PLAN
renewable energy
maximum demand (MD)
solar PV
battery energy storage system (BESS)
net energy metering (NEM)
maximum demand reduction (MDRed) model
power quality
voltage variations
PV system
aggregation times
correlation analysis
harmonic analysis
wavelet transform
wavelet packet
measurement techniques
cloud services
trust management
secure computing
smart meter
LBSS
user-aware power regulatory model
3-03936-186-4
3-03936-187-2
Sanjeevikumar, Padmanaban edt
Leonowicz, Zbigniew edt
Burgio, Alessandro edt
Sikorski, Tomasz edt
Janik, Przemyslaw edt
Bracale, Antonio oth
Sanjeevikumar, Padmanaban oth
Leonowicz, Zbigniew oth
Burgio, Alessandro oth
Sikorski, Tomasz oth
Janik, Przemyslaw oth
language English
format eBook
author2 Sanjeevikumar, Padmanaban
Leonowicz, Zbigniew
Burgio, Alessandro
Sikorski, Tomasz
Janik, Przemyslaw
Bracale, Antonio
Sanjeevikumar, Padmanaban
Leonowicz, Zbigniew
Burgio, Alessandro
Sikorski, Tomasz
Janik, Przemyslaw
author_facet Sanjeevikumar, Padmanaban
Leonowicz, Zbigniew
Burgio, Alessandro
Sikorski, Tomasz
Janik, Przemyslaw
Bracale, Antonio
Sanjeevikumar, Padmanaban
Leonowicz, Zbigniew
Burgio, Alessandro
Sikorski, Tomasz
Janik, Przemyslaw
author2_variant a b ab
p s ps
z l zl
a b ab
t s ts
p j pj
author2_role HerausgeberIn
HerausgeberIn
HerausgeberIn
HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
Sonstige
Sonstige
Sonstige
title Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
spellingShingle Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
title_full Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
title_fullStr Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
title_full_unstemmed Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
title_auth Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
title_new Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
title_sort advanced signal processing techniques applied to power systems control and analysis
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (252 p.)
isbn 3-03936-186-4
3-03936-187-2
illustrated Not Illustrated
work_keys_str_mv AT bracaleantonio advancedsignalprocessingtechniquesappliedtopowersystemscontrolandanalysis
AT sanjeevikumarpadmanaban advancedsignalprocessingtechniquesappliedtopowersystemscontrolandanalysis
AT leonowiczzbigniew advancedsignalprocessingtechniquesappliedtopowersystemscontrolandanalysis
AT burgioalessandro advancedsignalprocessingtechniquesappliedtopowersystemscontrolandanalysis
AT sikorskitomasz advancedsignalprocessingtechniquesappliedtopowersystemscontrolandanalysis
AT janikprzemyslaw advancedsignalprocessingtechniquesappliedtopowersystemscontrolandanalysis
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is_hierarchy_title Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
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