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 |
Gao Zhiwei | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Microgrids |
Autore | Guerrero Josep M |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (108 p.) |
Soggetto non controllato |
energy management system
buck-boost converter generic object oriented substation event (GOOSE) communication stochastic optimization optimal dispatch decision tree coordinated control optimization congestion problems distributed optimization IEC 61850 Standard distributed energy resources (DERs) technical and economic optimization reliability evaluation power quality disturbances renewable DC microgrid HESS ruleless EV extension theory network planning integrated electrical and thermal grids reliability photovoltaic feasibility flexibility microgrid test facility microgrid multiresolution small-scale standalone microgrid IEC 61850 direct search method (DSM) maximum electrical efficiency load frequency control (LFC) droop control flexible generation grid independence frequency control particle swarm optimization battery storage microgrid stability controller (MSC) doubly fed induction machine coordinative optimization of energy power distribution hierarchical control scheme grounding operation electric energy market nonlinear programming cost and life total sliding-mode control distributed energy resource vehicle information system peak-cut smoothing wind power genetic algorithm medium-voltage networks vehicle-to-grid devices scheduling microgrids energy storage electric vehicle energy efficiency active filter embedded system multivariable generalized predictive control (MGPC) load power sharing flywheel energy storage (FES) renewable sources telecommunication power management micro-grid smart inverter distributed generation storage systems electric vehicle (EV) microgrid (MG) mesh configuration residential users renewable energy source radial configuration S-transform optimal power flow solid oxide fuel cell vehicle-to-grid (V2G) communication delay current harmonic reduction smart grids inrush current flexible and configurable architecture optimal capacity ESS effective rate smart grid multi-agent distributed energy resources regular EV peak-shift datacenter deterministic optimization plug and play chaos synchronization detection residential power systems power quality combined power generation system DC distribution isolated grid coordinated control strategy DC architectures predictive control demand-side management distributed generation (DG) curtailment |
ISBN | 3-03921-869-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910372785803321 |
Guerrero Josep M | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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