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Control and Nonlinear Dynamics on Energy Conversion Systems
| Control and Nonlinear Dynamics on Energy Conversion Systems |
| Autore | Iu Herbert Ho-Ching |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto non controllato |
multi-clearance
neural network zero average dynamics Cable3D variable bus voltage MG explosion-magnetic generator quadratic boost matrix norm coordinated control system permanent magnet synchronous motor (PMSM) photovoltaic (PV) power conversion capacitance current pulse train control air gap eccentricity high step-up voltage gain voltage ripple offset-free goal representation heuristic dynamic programming (GrHDP) current mode control sliding mode observer (SMO) multi-model predictive control combined heat and power unit discontinuous conduction mode (DCM) current-pulse formation sliding mode control single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) subharmonic oscillations DC micro grid supply air temperature air-handling unit (AHU) vibration characteristics magnetic saturation slope compensation fixed-point inducting control the load of suspension point in the z direction variable switching frequency DC-DC converters droop control Helmholtz number plasma accelerator contraction analysis sliding control bifurcations in control parameter disturbance observer DC motor multiphysics virtual impedance pulverizing system ultrahigh voltage conversion ratio corrugated pipe DC-DC converters maximum power point tracking (MPPT) dynamic model nonlinear dynamics new step-up converter micro-grid global stability extended back electromotive force (EEMF) small-signal model electromagnetic vibration nonlinear dynamic model excited modes data-driven rigid body rotation position sensorless prediction centralized vs. decentralized control inferential control boost-flyback converter calculation method switched reluctance generator monodromy matrix bridgeless converter decoupling control distributed architecture wave buck converter soft sensor model–plant mismatches whistling noise efficiency optimization steel catenary riser moving horizon estimation single artificial neuron (SAN) space mechanism two-stage bypass electrical machine harmonic suppression local vs. global optimization performance recovery reinforcement learning (RL) adaptive dynamic programming (ADP) overvoltage planetary gears maximum power point tracking DC-DC buck converter power quality average-current mode control feedback coefficient power factor correction (PFC) capacitance current predictive control rotor dynamics |
| ISBN | 3-03921-111-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346671703321 |
Iu Herbert Ho-Ching
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wind Power Integration into Power Systems: Stability and Control Aspects
| Wind Power Integration into Power Systems: Stability and Control Aspects |
| Autore | Meegahapola Lasantha |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (264 p.) |
| Soggetto topico |
Technology: general issues
Energy industries & utilities |
| Soggetto non controllato |
DFIG
ES virtual inertia control capacity allocation fuzzy logic controller wind power generation multi-model predictive control fuzzy clustering virtual synchronous generator doubly fed induction generator sub-synchronous resonance impedance modeling renewable energy sources (RESs) regional RoCoF model-based operational planning linear sensitivity-based method (LSM) cumulant-based method (CBM) collaborative capacity planning distributed wind power (DWP) energy storage system (ESS) optimization variable-structure copula Reynolds-averaged Navier-Stokes method wind turbine wake model 3D aerodynamic model turbulence model correction modules hybrid prediction model wavelet decomposition long short-term memory scenario analysis weak grids full-converter wind active power output control parameters subsynchronous oscillation eigenvalue analysis doubly fed induction generator (DFIG) wind generation frequency control artificial neural network (ANN) error following forget gate-based long short-term memory ultra-short-term prediction wind power load frequency control (LFC) wind farm particle swarm optimization kinetic energy inertial response low inertia the center of inertia frequency response metrics wind integration PSS/E FORTRAN electromechanical dynamics FCWG dynamics strong interaction electromechanical loop correlation ratio (ELCR) FCWG dynamic correlation ratio (FDCR) quasi- electromechanical loop correlation ratio (QELCR) permanent magnet synchronous generator (PMSG) supercapacitor energy storage (SCES) rotor overspeed control low voltage ride through (LVRT) capacity configuration of SCES |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Wind Power Integration into Power Systems |
| Record Nr. | UNINA-9910557761903321 |
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Meegahapola Lasantha
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||