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Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
| Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis |
| Autore | Bracale Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
Advanced Metering Infrastructure (AMI)
Distributed Energy Resources (DER) Distribution Management System (DMS) Graph Reduction in Parallel (GRIP) Intelligent Electronic Device (IED) Intelligent Platform Management Interface (IPMI) Service Oriented Architecture (SOA) Ultra Large-Scale System (ULSS) photovoltaic systems MPPT technique partial shading global MPP (GMPP) nature-inspired algorithms congestion management power flow generator rescheduling Flower Pollination Algorithm (FPA) Pumped Hydro Storage Unit (PHSU) ancillary services grid inverter PV reactive power solar Quasi-Z source inverter (QZSI) Y source inverter (YSI) energy storage system (ESS) hybrid renewable energy sources (HRES) demand load RBFNOEHO technique common mode current common mode voltage modulation techniques electromagnetic interference mitigation grid connected inverters rotor angle small signal stability householder algorithm power systems electric vehicles charging station transformer Energy PLAN renewable energy maximum demand (MD) solar PV battery energy storage system (BESS) net energy metering (NEM) maximum demand reduction (MDRed) model power quality voltage variations PV system aggregation times correlation analysis harmonic analysis wavelet transform wavelet packet measurement techniques cloud services trust management secure computing smart meter LBSS user-aware power regulatory model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557490303321 |
Bracale Antonio
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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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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
process control
separation oil and gas control chart fuzzy logic neutrosophic statistic incomplete data belief statistic gamma distribution microalgae raceway control problem PID event-based flexible flow shop scheduling multi-queue limited buffers improved compact genetic algorithm probability density function of the Gaussian distribution transfer bees optimizer reinforcement learning behavior transfer state-action chains reactive power optimization Holmquist-Johnson-Cook constitutive model of briquette parameter acquisition split Hopkinson pressure bar experiment numerical simulation pressure swing distillation full-heat integration acetonitrile water distributed model predictive control steam power plant steam/water loop multi-input and multi-output system loop design optimal nonlinear adaptive control memetic salp swarm algorithm voltage source converter perturbation observer hardware experiment MIMO temperature control in heating process system pole-zero cancelation temperature difference transient response dead time slow-mode-based control multi-input multi-output (MIMO) temperature system temperature differences non-pillar gob-side entry retaining by roof cutting close distance coal seams goaf stress distribution semiconductor bonding equipment-grouping method graph theory association matrix CFSFDP algorithm self-learning variable geometry turbocharger deep reinforcement learning deep deterministic policy gradient flexible flow shop limited buffer public buffer Hopfield neural network local scheduling simulated annealing algorithm load identification EWT multiscale fuzzy entropy PNN Hybrid Attack Graph Level-of-Resilience stability topology distributed generation (DG) INSGA-II multi-objective optimization potential crowding distance static and dynamic planning data-driven methods coarse model refrigeration tunnel boring machine roadway supporting constitutive model failure criterion in-situ monitoring power systems complex network theory Fast-Newman algorithm link-addition strategy cascading failures flotation process reagent dosage time series froth image cumulative distribution function fault diagnosis fault classification fast Fourier transform (FFT) multi-linear principal component analysis (MPCA) uncorrelated multi-linear principal component analysis (UMPCA) additive white Gaussian noises (AWGN) wind turbine systems deviation control drilling machine nonlinear adaptive backstepping controller disturbance observer parameter uncertainties wind turbine energy conversion systems condition monitoring fault prognosis resilient control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
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Gao Zhiwei
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electric Systems for Transportation
| Electric Systems for Transportation |
| Autore | Ruvio Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (690 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
electric bus
vehicle selection road operation test sustainable development more electric aircraft (MEA) multilevel converter high power density electric vehicles (EVs) independent-drive technology deep reinforcement learning (DRL) optimal torque distribution wireless power transfer non-linear fast terminal sliding mode control power converters efficiency energy storage systems electrical power systems hydraulic power systems hydraulic accumulator ultracapacitor lithium-ion battery dual-polarization model fractional-order model SOC estimation hybrid Kalman filter vehicle–grid integration distribution network voltage regulation alternating direction method of multipliers railway transport eco-driving energy efficiency optimization algorithm power systems ancillary services EV motor inverter electrical installation on-board charger vehicle-to-home home energy management system hybrid electric bulldozer tracked vehicle control strategy adaptive control power smoothing electric vehicles public charging station bilevel model range constraint hybrid electric vehicles equivalent consumption minimization strategy power-split hybrid heavy-duty vehicles diesel engine natural gas engine hybrid powertrain supercapacitor fuel consumption mathematical modeling electric vehicle city bus gearbox transmission optimization hybrid electric vehicle power-split fuel economy particle swarm optimization route guidance strategies stochastic charging demands time-varying road network shift-by-wire (SBW) switched reluctance motor (SRM) non-uniform air-gap rotor hole placement torque ripple rotor structure electrical transport electrical vehicle marine transport railway battery electric vehicles signalized intersections energy-optimized vehicle trajectories vehicle dynamics model road freight transport vehicle stock turnover model deep decarbonization road freight vehicle electric-drive vehicle lithium-ion dQ/dV dV/dQ frequency regulation V2G G2V fault diagnosis PEM fuel cell system PFCM-ABC-SVM ultra-fast charging multimodule DC-DC converters dual active bridge DC-DC converter full-bridge phase-shift DC-DC converter input-series output-series input-series output-parallel input-parallel output-parallel input-parallel output-series input-series input-parallel output-series output-parallel battery aging plug-in electric vehicles energy management global optimization state of health particle swarm algorithm genetic algorithm simulation plug-in hybrid microgrid photovoltaic robust optimization stochastic optimization battery management systems battery fuel gauge state of charge power fade capacity fade robust estimation predictive control environmental impacts life cycle assessment review anti-lock braking system fuzzy logic system controller vehicle traffic signal control cost model total cost of ownership TCO charging strategy public transport sustainability reused battery adaptive control theory battery management system (BMS) internal resistances open-circuit voltage policy incentive public charging infrastructure power grid grid-side effects photovoltaic potentials controlled charging electric power systems transportation PV inverter |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557407803321 |
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Ruvio Alessandro
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electrical Power and Energy Systems for Transportation Applications
| Electrical Power and Energy Systems for Transportation Applications |
| Autore | Chris Bingham (Ed.) |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2017 |
| Descrizione fisica | 1 electronic resource (XX, 572 p.) |
| Soggetto non controllato |
electrical power systems
distributed power systems electrical drives electric vehicles power electronics renewable energy energy management power systems power generation energy systems energy conversion electrical machines |
| ISBN | 3-03842-242-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910220021203321 |
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Chris Bingham (Ed.)
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| MDPI - Multidisciplinary Digital Publishing Institute, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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HVDC/FACTS for Grid Services in Electric Power Systems
| HVDC/FACTS for Grid Services in Electric Power Systems |
| Autore | Maza-Ortega José M |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
VSC-HVDC
unbalanced grid conditions double frequency ripples power compensation passive-based control disturbance observer dynamic capacitor inductive unbalanced load reactive power compensation imbalance suppression compensation ability HVDC transmission hybrid multi-terminal HVDC LCC MTDC power system analysis VSC breakers hybrid DC circuit breaker fault current limiters non-superconducting fault current limiters current-limiting inductors voltage source converter FACTS grid services CHIL PHIL lab testing field testing standards STATCOM replica review korean power system subsynchronous resonance (SSR) synchronous voltage reversal (SVR) thyristor controlled series capacitor (TCSC) test signal method virtual synchronous machine synchronous power controller power quality harmonics hybrid power quality compensation system the thyristor-controlled L and C-type filter (TCL-CTF) ancillary services HVDC systems loss management frequency control voltage and reactive power control black start congestion management distribution networks hybrid AC/DC networks power systems high voltage direct current (HVDC) transmission HVDC systems based on voltage source converters (VSC-HVDC) multi-terminal transient stability control strategies communication latency power oscillations UPFC non-linear control neural network model reference control High voltage direct current (HVDC) continuous commutation failures DC blocking emergency power support stability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557634303321 |
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Maza-Ortega José M
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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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Integration of Renewable and Distributed Energy Resources in Power Systems
| Integration of Renewable and Distributed Energy Resources in Power Systems |
| Autore | Román Tomás Gómez San |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
machine learning
microgrids optimisation methods power systems reinforcement learning high penetration renewable energy adaptability planning source-grid coordination renewable electricity distribution for public space sustainability assessment model integrated assessment for public space tripartite altruism urban renewable energy ecological infrastructures Micro-grids continuity of supply power distribution power system planning decentralized control small hydropower plants microgrid emergency control recloser synchronous coupler power systems stability power system operation power system security renewable energy integration load flow analysis congestion management distributed generation curtailment demand side management demand response cyber-physical systems dynamic pricing load forecasting attack detection photovoltaics distributed energy resources (DERs) grid impact power quality low-voltage distribution network inverter regulation electric vehicles uncontrolled charging delayed charging controlled charging V2G V2B V2H peak shaving valley filling renewable energy sources |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557544203321 |
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Román Tomás Gómez San
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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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Operation, Regulation and Planning of Power and Natural Gas Systems
| Operation, Regulation and Planning of Power and Natural Gas Systems |
| Autore | Reneses Javier |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (162 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
industrial park integrated energy system
expansion planning natural gas price uncertainty regret aversion min–max regret value distributed solar PV financial analysis net-energy metering investor-owned utility earnings return on equity retail rates ratepayer bills natural-gas market electricity market equilibrium analysis gas markets game theory-Cournot model records theory entropy information theory electricity markets feasible operation medium-term representation optimization models power systems thermal generation unit commitment portfolio portfolio management risk risk assessment energy trading power purchase agreements PPA copula wholesale electricity markets market design bidding formats pricing rules renewable energy sources day-ahead electricity markets electricity price forecasting fundamental-econometric models market structural breaks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557118403321 |
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Reneses Javier
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| 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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