Modeling of Wind Turbines and Wind Farms
Gomez-Lazaro, Emilio (editor)
Artigao, Estefania (editor)
Wind Power Plant (WPP) and Wind Turbine (WT) modeling are becoming of key importance due to the relevant wind-generation impact on power systems. Wind integration into power systems must be carefully analyzed to forecast the effects on grid stability and reliability. Different agents, such as Transmission System Operators (TSOs) and Distribution System Operators (DSOs), focus on transient analyses. Wind turbine manufacturers, power system software developers, and technical consultants are also involved. WPP and WT dynamic models are often divided into two types: detailed and simplified. Detailed models are used for Electro-Magnetic Transient (EMT) simulations, providing both electrical and mechanical responses with high accuracy during short time intervals. Simplified models, also known as standard or generic models, are designed to give reliable responses, avoiding high computational resources. Simplified models are commonly used by TSOs and DSOs to carry out different transient stability studies, including loss of generation, switching of power lines or balanced faults, etc., Assessment and validation of such dynamic models is also a major issue due to the importance and difficulty of collecting real data. Solutions facing all these challenges, including the development, validation and application of WT and WPP models are presented in this Issue.
Keywordsbearing current; common mode current; doubly fed induction generators; permanent magnet synchronous generators; wind turbine generator; doubly-fed generator; converter control; short-circuit current; second harmonic component; low-voltage ride-through (LVRT) field test data; complex terrain; terrain-induced turbulence; turbulence intensity; LES; vortex shedding; frequency control; wind power integration; power system stability; turbulence; statistical modelling; Wind Turbine (WT); Doubly Fed Induction Generator (DFIG); unbalanced grid voltage; DC-linked voltage control; Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller; Adaptive Proportional Integral (API) control; power control; wind turbine near wake; wind turbine wakes; wake aerodynamics; computational fluid dynamics; rotor aerodynamics; wind turbine validation; MEXICO experiment; wind energy; model validation; wind turbine aerodynamics; wind farms; wind turbines interaction; wind farm modeling; kernel density estimation; multiple wind farms; joint probability density; ordinal optimization; reactive power capability; wind power plant; wind power collection system; aggregated, modelling; wind integration studies; long term voltage stability; fault-ride through capability; IEC 61400-27-1; Spanish PO 12.3; Type 3 wind turbine; inertia; wind power; droop; primary control; frequency containment process; wind integration; demand response; ancillary services; wind turbine nacelle; lightning electromagnetic pulse (LEMP); magnetic field intensity; shielding mesh; wake steering; yaw misalignment; multi body simulation; main bearing loads; rain flow counts; aeroelasticity; multi-rotor system; wind turbine; computational fluid dynamics (CFD); horizontal-axis wind turbine (HAWT); permanent-magnet synchronous-generator (PMSG); linear quadratic regulator (LQR); PI control algorithm; LQR-PI control; wind turbine blade; large-eddy simulation; turbulence evaluation index; fatigue damage evaluation index; DIgSILENT-PowerFactory; MATLAB; transient stability; type 3 wind turbine; DFIG; field testing; full-scale converter; generic model; validation; HAWT; aerodynamic characteristics; dynamic yawing process; near wake; start-stop yaw velocity; load frequency control (LFC); equivalent input disturbance (EID); active disturbance rejection control (ADRC); wind; linear matrix inequalities (LMI); dynamic modeling; grey-box parameter identification; subspace identification; recursive least squares; optimal identification
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Publication date and placeBasel, Switzerland, 2020
History of engineering & technology