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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.
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
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This reprint presents various aspects of the future grid, which is the next generation of the electrical grid and will enable the smart integration of conventional, renewable, and distributed power generation, energy storage, transmission and distribution, and demand management. Renewable energy is crucial in transitioning to a less carbon-intensive economy and a more sustainable energy system. The high penetration and uncertain power outputs of renewable energy pose great challenges to the stable operation of energy systems. The deployment of the smart grid is revolutionary, and also imperative around the world. It involves and deals with multidisciplinary fields such as energy sources, control systems, communications, computational generation, transmission, distribution, customer operations, markets, and service providers. Smart grids are emerging in both developed and developing countries, with the aim of achieving a reliable and secure electricity supply. Smart grids will eventually require standards, policy, and a regulatory framework for successful implementation. This reprint addresses the emerging and advanced green energy technologies for a sustainable and resilient future grid, and provides a platform to enhance interdisciplinary research and share the most recent ideas.
Technology: general issues --- History of engineering & technology --- islanded mode --- microgrid --- decentralized control --- robust tracking --- invariant set --- thermal energy storage --- parabolic dish --- latent heat --- phase change material --- heat transfer fluid --- bio-inspired algorithms --- wireless sensor network --- genetic algorithm --- particle swarm optimization --- advanced metering infrastructure --- blockchain --- Ethereum --- isolated DC–DC converter --- photovoltaics --- LLC resonant converter --- dual-bridge --- wide voltage range --- power optimizer --- coordinated control --- vehicle-to-grid --- primary frequency control --- secondary frequency control --- state of charge --- decentralized --- Simulink model --- dimensionality reduction --- simple linear regression --- multiple linear regression --- polynomial regression --- load forecasting --- VSC (voltage source converter) --- PLL (Phase-Locked Loop) --- weak grid --- small signal stability --- eigenvalues --- demand-side management --- low-power consumer electronic appliances --- low-voltage distribution system --- non-intrusive identification of appliance usage patterns --- power quality --- smart home --- true power factor --- total harmonic distortion --- renewable energy sources --- energy management system --- communication technologies --- microgrid standards --- third-order sliding mode control --- asynchronous generators --- variable speed dual-rotor wind turbine --- direct field-oriented control --- integral-proportional --- transformer --- internal fault currents --- magnetic inrush currents --- extended Kalman filter (EKF) algorithm --- harmonic estimation --- DC microgrid --- fault --- cluster --- DC/DC converter --- fault current limiter (FCL) --- multi-objective --- renewable energy --- profit-based scheduling --- Equilibrium Optimizer --- smart grid --- campus microgrid --- batteries --- prosumer market --- distributed generation --- renewable energy resources --- energy storage system --- distributed energy resources --- demand response --- load clustering techniques --- sizing methodologies --- digital signal processing --- green buildings --- spectral analysis --- spectral kurtosis --- life-cycle cost --- optimal scheduling --- reinforcement learning --- enabling technologies --- energy community --- smart meter --- nanogrid --- platform --- power cloud --- n/a --- isolated DC-DC converter
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