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Distributed Energy Resources Management
| Distributed Energy Resources Management |
| Autore | Faria Pedro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (236 p.) |
| Soggetto non controllato |
autonomous operation
energy management system stochastic programming co-generation Unit Commitment (UC) distributed system demand-side energy management virtual power plant Powell direction acceleration method average consensus algorithm (ACA) transmission line interval optimization renewable energy microgrids scheduling business model non-cooperative game (NCG) domestic energy management system time series energy trading decision-making under uncertainty Demand Response Unit Commitment (DRUC) real-time simulation distributed generation discrete wavelet transformer microgrid (MG) probabilistic programming optimal bidding ac/dc hybrid microgrid building energy flexibility storage uncertainty Cat Swarm Optimization (CSO) advance and retreat method multiplier method microgrid Demand Response (DR) electricity markets aggregators fault localization aggregator consensus algorithm black start microgrid operation local controller thermal comfort diffusion strategy optimal operation power system restoration (PSR) energy flexibility ARIMA pricing strategy clustering adaptive droop control multi-agent system (MAS) hierarchical game energy flexibility potential demand response |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346681403321 |
Faria Pedro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Distributed Energy Resources Management 2018
| Distributed Energy Resources Management 2018 |
| Autore | Vale Zita |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto non controllato |
virtual power plant
bidding strategy local flexibility market multi-period optimal power flow flexibility service occupant comfort unbalanced networks decentralized energy management system autonomous control optimization energy storage microgrids energy efficiency distributed energy control system DSM optimal scheduling adaptability synergistic optimization strategy teaching-learning distributed generation energy storage system stackelberg dynamic game IoT (Internet of Things) supply and demand comprehensive benefits distributed generator frequency bus-signaling active distribution networks swarm intelligence wind multi-agent technology solar power system management fault-tolerant control indoor environment quality multi-temporal optimal power flow multi-agent synergetic estimation smart grids local energy trading active power control prosumer microgrid trade agreements healthy building smart grid nonlinear control algorithm design and analysis batteries droop control distributed energy resources aggregator multi-agent system frequency control particle swarm optimization distribution system operator building climate control low voltage networks demand Response clustering distributed coordination demand-side management demand response |
| ISBN | 3-03928-171-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372783203321 |
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Vale Zita
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| 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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Optimization Methods Applied to Power Systems: Volume 1
| Optimization Methods Applied to Power Systems: Volume 1 |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN | 3-03921-131-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Optimization Methods Applied to Power Systems |
| Record Nr. | UNINA-9910346859603321 |
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Montoya Francisco G
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Methods Applied to Power Systems: Volume 2
| Optimization Methods Applied to Power Systems: Volume 2 |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN | 3-03921-157-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Optimization Methods Applied to Power Systems |
| Record Nr. | UNINA-9910346859503321 |
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Montoya Francisco G
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Signal Analysis in Power Systems
| Signal Analysis in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (118 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
convolutional neural networks
multi-headed CNN CNN-LSTM forecasting solar output sliding window renewable energy data mining cluster analysis power quality global power quality index electrical power network distributed generation mining industry ward algorithm different working conditions power supply restoration power supply outages failures time intervals obtaining information information recognition connection harmonization virtual power plant distributed energy resources energy storage systems grid codes power systems smart grids prosumer business model economic efficiency sensitivity analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557105203321 |
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Leonowicz Zbigniew
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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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