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Distribution Power Systems and Power Quality
| Distribution Power Systems and Power Quality |
| Autore | Bak-Jensen Birgitte |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
meshed DC distributed power systems
stability criterion virtual harmonic resistance stability enhancement waveform distortion high-frequency spectral components wavelet transform modified estimation of signal parameters by rotational invariancetechnique (ESPRIT) power quality transient power quality S-transform width factor feature extraction probabilistic neural network (PNN) renewable energy reactor voltage rise distribution line distribution resource grid connection generator power factor coordination of protection relay active damping DC distributed systems dynamic performance impedance decoupling impedance overlap minor loop gain non-causal system stability margins modular multilevel converter double-carrier phase-disposition pulse width modulation double Fourier integral analysis harmonic characteristic carrier displacement angle harmonic responsibilities assessment utility harmonic impedance changes wavelet packet transform piecewise approach bound constrained optimization hosting capacity solar power integration electric vehicle integration electricity distribution distribution-system planning wind-diesel power systems power system modeling variable-speed wind turbine frequency control stability analysis wind power curtailment inertial control photovoltaic power stations power systems reliability non-aggregate Markov model pseudo-sequential Monte Carlo simulation intelligent state space reduction |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557393403321 |
Bak-Jensen Birgitte
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Data Mining Applications in Power Systems
| Machine Learning and Data Mining Applications in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
| Soggetto non controllato |
virtual power plant (VPP)
power quality (PQ) global index distributed energy resources (DER) energy storage systems (ESS) power systems long-term assessment battery energy storage systems (BESS) smart grids conducted disturbances power quality supraharmonics 2-150 kHz Power Line Communications (PLC) intentional emission non-intentional emission mains signalling virtual power plant data mining clustering distributed energy resources energy storage systems short term conditions cluster analysis (CA) nonlinear loads harmonics, cancellation, and attenuation of harmonics waveform distortion THDi low-voltage networks optimization techniques different batteries off-grid microgrid integrated renewable energy system cluster analysis K-means agglomerative ANFIS fuzzy logic induction generator MPPT neural network renewable energy variable speed WECS wind energy conversion system wind energy frequency estimation spectrum interpolation power network disturbances COVID-19 time-varying reproduction number social distancing load profile demographic characteristic household energy consumption demand-side management energy management time series Hidden Markov Model short-term forecast sparse signal decomposition supervised dictionary learning dictionary impulsion singular value decomposition discrete cosine transform discrete Haar transform discrete wavelet transform transient stability assessment home energy management binary-coded genetic algorithms optimal power scheduling demand response Data Injection Attack machine learning critical infrastructure smart grid water treatment plant power system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576877503321 |
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Leonowicz Zbigniew
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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