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Optimal Control of Hybrid Systems and Renewable Energies
| Optimal Control of Hybrid Systems and Renewable Energies |
| Autore | Robba Michela |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
fuel cell
power control multi-objective optimization equivalent consumption minimization strategy firefly algorithm hybrid light rail vehicle solar energy Fresnel collector model predictive control fuzzy algorithm hybrid systems shipboard microgrids photovoltaic (PV) systems energy storage technologies microgrids hybrid energy storage systems (HESS) floating offshore wind turbine aerodynamic platform stabiliser wave rejection feedback loop control optimisation energy storage pumped storage hydro ternary pumped storage hydro dynamic simulation dynamic modeling inertia renewable energy power system primary control BESS microgrid Grid Forming Grid Support Inverter Control DIgSILENT PowerFactory EMT simulations eco-friendliness smart railway smart electrical infrastructure control algorithm regenerative braking energy smart grid optimization energy management system interconnected buildings renewable resources multi-level aggregator wind-diesel power plant intelligent control system diesel-generator set internal combustion engine artificial neural network fuel economy co-simulation SCADA operator training building energy management system simulation equivalent electric circuit |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557488503321 |
Robba Michela
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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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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 |
|
Montoya Francisco G
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Montoya Francisco G
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||