Analysis for Power Quality Monitoring

• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering and technology; big data; computational solutions for advanced metering infrastructure (AMI); constant amplitude trend; convolution neural network; data compression; data scalability; DC power quality indices; dense-mesh topology; detection; digital signal processing; distribution networks; dynamic phasor estimation; embedded microcontroller; embedded system; energizing warning; flicker; fourth-order statistics; FPGA; harmonics; higher-order statistics (HOS); improved principal component analysis; induction machines; IoT; islanding operation; Kalman filters; limited resources hardware; long-term; low computational cost; low cost monitor; low-voltage DC networks; machine learning; modelling; modulation; municipal distribution network; operation analysis; phasor measurement; phasor measurement units; power distribution systems; power event detection; power quality; power quality (PQ); power quality disturbance; power quality disturbances; power quality monitor; power quality monitoring; power system measurements; PQ indices and thresholds; reconfigurable computing; reliability; RMS voltage estimation; sensor node; sensors and instruments for PQ; signal waveform compression; smart grid; smart grid (SG) applications; smart grids; soft computing; spectral kurtosis; statistical signal processing; voltage fluctuations; voltage ripple; voltage sags; wind-grid distribution; wireless sensor network
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (210 p.)
• ISBN: 9783039281107; 9783039281114; books978-3-03928-111-4
• Access: Open Access

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.