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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 electronic resource (210 p.) |
| Soggetto non controllato |
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 |
| 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 | ||
| Materiale a stampa | ||
| 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 |
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Salkuti Surender Reddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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