04674nam 2201069z- 450 991040408060332120231214132853.03-03928-111-9(CKB)4100000011302332(oapen)https://directory.doabooks.org/handle/20.500.12854/40816(EXLCZ)99410000001130233220202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAnalysis for Power Quality MonitoringMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (210 p.)3-03928-110-0 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.modulationFPGAflickerDC power quality indiceslimited resources hardwarelow cost monitordynamic phasor estimationharmonicsRMS voltage estimationislanding operationembedded systemsignal waveform compressionbig datadigital signal processingdata scalabilitydata compressionwind-grid distributionvoltage fluctuationssmart grid (SG) applicationspower event detectionmodellingvoltage ripplepower quality monitoringhigher-order statistics (HOS)power distribution systemspower quality disturbancesreconfigurable computingoperation analysissensor nodepower quality (PQ)distribution networkswireless sensor networkreliabilitypower system measurementsembedded microcontrollerphasor measurement unitsIoTsoft computingsmart gridspower quality monitorinduction machinessensors and instruments for PQKalman filterslow-voltage DC networksconvolution neural networkspectral kurtosismunicipal distribution networkstatistical signal processingdetectionpower quality disturbancesmart gridenergizing warningdense-mesh topologylow computational costfourth-order statisticsPQ indices and thresholdsmachine learningvoltage sagspower qualitycomputational solutions for advanced metering infrastructure (AMI)constant amplitude trendphasor measurementimproved principal component analysislong-termGonzález de la Rosa Juan-Joséauth1267785Donsión Manuel PérezauthBOOK9910404080603321Analysis for Power Quality Monitoring3035779UNINA