Analysis for Power Quality Monitoring
| Analysis for Power Quality Monitoring |
| Autore | González de la Rosa Juan-José |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (210 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
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 |
| ISBN | 3-03928-111-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080603321 |
González de la Rosa Juan-José
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid
| Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid |
| Autore | Salkuti Surender Reddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (416 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
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 |
| ISBN | 3-0365-5770-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637792903321 |
Salkuti Surender Reddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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