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Palabras clave – provistas por la editorial

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; n/a