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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Detalles Bibliográficos
Otros Autores:	González de la Rosa, Juan-José (auth), Donsión, Manuel Pérez
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:	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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009427455706719