LEADER 04710nam  2201249z- 450 
001 9910557490303321
005 20210501
035   $a(CKB)5400000000042928
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68992
035   $a(oapen)doab68992
035   $a(EXLCZ)995400000000042928
100   $a20202105d2020      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAdvanced Signal Processing Techniques Applied to Power Systems Control and Analysis
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020
215   $a1 online resource (252 p.)
311 08$a3-03936-186-4 
311 08$a3-03936-187-2 
330   $aThe 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.
606   $aHistory of engineering and technology$2bicssc
610   $aAdvanced Metering Infrastructure (AMI)
610   $aaggregation times
610   $aancillary services
610   $abattery energy storage system (BESS)
610   $acharging station
610   $acloud services
610   $acommon mode current
610   $acommon mode voltage
610   $acongestion management
610   $acorrelation analysis
610   $ademand
610   $aDistributed Energy Resources (DER)
610   $aDistribution Management System (DMS)
610   $aelectric vehicles
610   $aelectromagnetic interference
610   $aEnergy PLAN
610   $aenergy storage system (ESS)
610   $aFlower Pollination Algorithm (FPA)
610   $agenerator rescheduling
610   $aglobal MPP (GMPP)
610   $aGraph Reduction in Parallel (GRIP)
610   $agrid
610   $agrid connected inverters
610   $aharmonic analysis
610   $ahouseholder algorithm
610   $ahybrid renewable energy sources (HRES)
610   $aIntelligent Electronic Device (IED)
610   $aIntelligent Platform Management Interface (IPMI)
610   $ainverter
610   $aLBSS
610   $aload
610   $amaximum demand (MD)
610   $amaximum demand reduction (MDRed) model
610   $ameasurement techniques
610   $amitigation
610   $amodulation techniques
610   $aMPPT technique
610   $anature-inspired algorithms
610   $anet energy metering (NEM)
610   $apartial shading
610   $aphotovoltaic systems
610   $apower flow
610   $apower quality
610   $apower systems
610   $aPumped Hydro Storage Unit (PHSU)
610   $aPV
610   $aPV system
610   $aQuasi-Z source inverter (QZSI)
610   $aRBFNOEHO technique
610   $areactive power
610   $arenewable energy
610   $arotor angle
610   $asecure computing
610   $aService Oriented Architecture (SOA)
610   $asmall signal stability
610   $asmart meter
610   $asolar
610   $asolar PV
610   $atransformer
610   $atrust management
610   $aUltra Large-Scale System (ULSS)
610   $auser-aware power regulatory model
610   $avoltage variations
610   $awavelet packet
610   $awavelet transform
610   $aY source inverter (YSI)
615  7$aHistory of engineering and technology
700   $aBracale$b Antonio$4edt$01280875
702   $aSanjeevikumar$b Padmanaban$4edt
702   $aLeonowicz$b Zbigniew$4edt
702   $aBurgio$b Alessandro$4edt
702   $aSikorski$b Tomasz$4edt
702   $aJanik$b Przemyslaw$4edt
702   $aBracale$b Antonio$4oth
702   $aSanjeevikumar$b Padmanaban$4oth
702   $aLeonowicz$b Zbigniew$4oth
702   $aBurgio$b Alessandro$4oth
702   $aSikorski$b Tomasz$4oth
702   $aJanik$b Przemyslaw$4oth
906   $aBOOK
912   $a9910557490303321
996   $aAdvanced Signal Processing Techniques Applied to Power Systems Control and Analysis$93022605
997   $aUNINA