TY  - GEN
AU  - Gomez-Lazaro,Emilio
AU  - Artigao,Estefania
AU  - Gomez-Lazaro,Emilio
AU  - Artigao,Estefania
TI  - Modeling of Wind Turbines and Wind Farms
SN  - books978-3-03928-757-4
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - bearing current
KW  - common mode current
KW  - doubly fed induction generators
KW  - permanent magnet synchronous generators
KW  - wind turbine generator
KW  - doubly-fed generator
KW  - converter control
KW  - short-circuit current
KW  - second harmonic component
KW  - low-voltage ride-through (LVRT) field test data
KW  - complex terrain
KW  - terrain-induced turbulence
KW  - turbulence intensity
KW  - LES
KW  - vortex shedding
KW  - frequency control
KW  - wind power integration
KW  - power system stability
KW  - turbulence
KW  - statistical modelling
KW  - Wind Turbine (WT)
KW  - Doubly Fed Induction Generator (DFIG)
KW  - unbalanced grid voltage
KW  - DC-linked voltage control
KW  - Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller
KW  - Adaptive Proportional Integral (API) control
KW  - power control
KW  - wind turbine near wake
KW  - wind turbine wakes
KW  - wake aerodynamics
KW  - computational fluid dynamics
KW  - rotor aerodynamics
KW  - wind turbine validation
KW  - MEXICO experiment
KW  - wind energy
KW  - model validation
KW  - wind turbine aerodynamics
KW  - wind farms
KW  - wind turbines interaction
KW  - wind farm modeling
KW  - kernel density estimation
KW  - multiple wind farms
KW  - joint probability density
KW  - ordinal optimization
KW  - reactive power capability
KW  - wind power plant
KW  - wind power collection system
KW  - aggregated, modelling
KW  - wind integration studies
KW  - long term voltage stability
KW  - fault-ride through capability
KW  - IEC 61400-27-1
KW  - Spanish PO 12.3
KW  - Type 3 wind turbine
KW  - inertia
KW  - wind power
KW  - droop
KW  - primary control
KW  - frequency containment process
KW  - wind integration
KW  - demand response
KW  - ancillary services
KW  - wind turbine nacelle
KW  - lightning electromagnetic pulse (LEMP)
KW  - magnetic field intensity
KW  - shielding mesh
KW  - wake steering
KW  - yaw misalignment
KW  - multi body simulation
KW  - main bearing loads
KW  - rain flow counts
KW  - aeroelasticity
KW  - multi-rotor system
KW  - wind turbine
KW  - computational fluid dynamics (CFD)
KW  - horizontal-axis wind turbine (HAWT)
KW  - permanent-magnet synchronous-generator (PMSG)
KW  - linear quadratic regulator (LQR)
KW  - PI control algorithm
KW  - LQR-PI control
KW  - wind turbine blade
KW  - large-eddy simulation
KW  - turbulence evaluation index
KW  - fatigue damage evaluation index
KW  - DIgSILENT-PowerFactory
KW  - MATLAB
KW  - transient stability
KW  - type 3 wind turbine
KW  - DFIG
KW  - field testing
KW  - full-scale converter
KW  - generic model
KW  - validation
KW  - HAWT
KW  - aerodynamic characteristics
KW  - dynamic yawing process
KW  - near wake
KW  - start-stop yaw velocity
KW  - load frequency control (LFC)
KW  - equivalent input disturbance (EID)
KW  - active disturbance rejection control (ADRC)
KW  - wind
KW  - linear matrix inequalities (LMI)
KW  - dynamic modeling
KW  - grey-box parameter identification
KW  - subspace identification
KW  - recursive least squares
KW  - optimal identification
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/3027
UR  - https://directory.doabooks.org/handle/20.500.12854/69244
ER  -