Neural MPPT of variable pitch wind generators with induction machines in a wide wind speed range

Cirrincione, Maurizio; Pucci, Marcello; Vitale, G.

doi:10.1109/ecce.2011.6063860

Cited by 12 publications

(9 citation statements)

References 11 publications

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“…where C p , is power coefficient factor, ρ is air density, A is area swept by the turbine blades, and V is the velocity of wind [3][4][5][6][7]. The power factor in Eq.…”

Section: Theorymentioning

confidence: 99%

Numerical Comparison of the Effect of Blade Material on Wind Turbine Efficiency

2018

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Wind energy, which is enormously important to protect the environment, can be converted into electricity by wind turbines. Wind turbines consist of a base, a tower, a generator, a gearbox, a hub and rotor blades. Horizontal wind turbines are designed with three blades to have higher efficiency. Wind turbine blade can be made of wood, steel, aluminum, carbon fiber-reinforced plastics and glass fiber-reinforced plastics. In this work it is aimed to study the effect of blade material on the wind turbine efficiency using numerical method. The commercial software ANSYS Fluent is used to calculate and compare the efficiencies of wind turbines with different blade materials. In the numerical analysis the flow is modelled as viscous, laminar and incompressible. Results show that the frictional effect on the hub bearing is bigger if a denser material is used. This effect reduces the efficiency of wind turbines.

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“…where C p , is power coefficient factor, ρ is air density, A is area swept by the turbine blades, and V is the velocity of wind [3][4][5][6][7]. The power factor in Eq.…”

Section: Theorymentioning

confidence: 99%

Numerical Comparison of the Effect of Blade Material on Wind Turbine Efficiency

2018

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“…The effect of the rotor voltage is intensively studied in [8]. A novel Maximum Power Point Tracking algorithm is introduced in [9].…”

Section: Introductionmentioning

confidence: 99%

“…Many researcher deals with DFIG based wind power conversion systems [2]- [9]. In [2] a complete DFIG model is derived taking into consideration both electrical and mechanical aspects.…”

Section: Introductionmentioning

confidence: 99%

Control of Power Flow Between the Wind Generator and Network

Stumpf

Nágy

Vajk

2015

IEEE Trans. on Ind. Applicat.

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Among the renewable energies, wind energy is hosted in selected points helping their penetration to the network. The paper shortly treats the wind power flow and the control of power flow within the wind power plant focusing on the Doubly Fed Induction Generator (DFIG). General sliptorque relation is derived with three torque components: one component is derived by the stator voltage, the other one by the d component and the third one by the q component of the rotor voltage space vector. The algorithm for controlling the stator active and reactive power by rotor side converter in block diagram form is developed and its operation is presented by simulation results. The reader can easily check all results as the relations are derived and their physical contents are explained.

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“…In the literature, several techniques are documented to attain MPP for harvesting the maximum capacity 7 . These are documented as neural network, nonlinear state space, power, fuzzy logic, perturb and observe (P&O), tip speed ratio (TSR), and power signal feedback (PSF) 8‐10 . The P&O method is considered acceptable here because of its reliance on device parameters and easy implementation.…”

Section: Introductionmentioning

confidence: 99%

Robust control for seamless operation of wind‐BES microgrid

Gupta

Singh

Kewat

2021

Int Trans Electr Energ Syst

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Summary The aim of the paper is to provide seamless transition between the grid connected to an islanded mode and vice versa by switching the control of the load connected VSC (LCVSC) ensuring uninterruptable power supply. In the grid connected mode, a TOQSG (third‐order quadrature signal Generator) based method is applied for power quality improvement at the grid. During synchronization, the LCVSC adapts the phase and frequency of the grid voltage for seamless transition. The paper presents a smart microgrid, which manages the mode of operations and generation of reference signals for the smooth operation. The proposed approach is validated through test results. The grid current and CCP voltage distortion are as per the IEEE‐519 and the IEEE‐1547 standards.

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Neural MPPT of variable pitch wind generators with induction machines in a wide wind speed range

Cited by 12 publications

References 11 publications

Numerical Comparison of the Effect of Blade Material on Wind Turbine Efficiency

Numerical Comparison of the Effect of Blade Material on Wind Turbine Efficiency

Control of Power Flow Between the Wind Generator and Network

Robust control for seamless operation of wind‐BES microgrid

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