04807nam 2201105z- 450 9910404080603321202102113-03928-111-9(CKB)4100000011302332(oapen)https://directory.doabooks.org/handle/20.500.12854/40816(oapen)doab40816(EXLCZ)99410000001130233220202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAnalysis for Power Quality MonitoringMDPI - Multidisciplinary Digital Publishing Institute20201 online 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.History of engineering and technologybicsscbig datacomputational solutions for advanced metering infrastructure (AMI)constant amplitude trendconvolution neural networkdata compressiondata scalabilityDC power quality indicesdense-mesh topologydetectiondigital signal processingdistribution networksdynamic phasor estimationembedded microcontrollerembedded systemenergizing warningflickerfourth-order statisticsFPGAharmonicshigher-order statistics (HOS)improved principal component analysisinduction machinesIoTislanding operationKalman filterslimited resources hardwarelong-termlow computational costlow cost monitorlow-voltage DC networksmachine learningmodellingmodulationmunicipal distribution networkoperation analysisphasor measurementphasor measurement unitspower distribution systemspower event detectionpower qualitypower quality (PQ)power quality disturbancepower quality disturbancespower quality monitorpower quality monitoringpower system measurementsPQ indices and thresholdsreconfigurable computingreliabilityRMS voltage estimationsensor nodesensors and instruments for PQsignal waveform compressionsmart gridsmart grid (SG) applicationssmart gridssoft computingspectral kurtosisstatistical signal processingvoltage fluctuationsvoltage ripplevoltage sagswind-grid distributionwireless sensor networkHistory of engineering and technologyGonzález de la Rosa Juan-Joséauth1267785Donsión Manuel PérezauthBOOK9910404080603321Analysis for Power Quality Monitoring3035779UNINA