Control Performance Analysis of Feedforward and Maximum Peak Power Tracking for Small-and Medium-Sized Fixed Pitch Wind Turbines

Neammanee, Bunlung; Sirisumranukul, S.; Chatratana, S.

doi:10.1109/icarcv.2006.345340

Cited by 27 publications

(12 citation statements)

References 7 publications

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“…The wind turbine and electric generator group, generally operate in four main operation regions [5] as figure 4 shows. The operation regions are:…”

Section: -Description Of the Control Structurementioning

confidence: 99%

Dynamic response analysis of small wind energy conversion systems (WECS) operating with torque control versus speed control

González¹,

Figueres²,

Garcerá³

et al. 2009

REPQJ

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This paper encompasses the study of modelling and design of WECS, using a wind turbine with known dynamic characteristics and a permanent magnet synchronous generator with a back to back power converter topology. The dynamic modeling allows to know the response of the turbine generator system in the whole range of operation. KeywordsTorque control, Speed control, Wind Energy Conversion Systems, Maximum Power Point Tracker. 1.-INTRODUCTIONThe necessity of clean and renewable energy has increased the studies in new technologies, such as the wind energy and its multiple applications. The main objective of researches in the energy generator systems are aimed at an increase in the performance, extension of equipment useful life and average time reduction between failures. For that reason it is necessary to have a good knowledge of the dynamic response of the turbine system, generator and the power converter. This paper studies the dynamic operation of a control system for wind energy generators, composed by a fast wind turbine with known dynamic characteristics, a permanent magnet synchronous generator (PMSG), and a back to back power converter topology with vector control I d =0. Figure 1 shows the conversion system structure, which operates in both the Maximum Power Point Tracker (MPPT) region and the nominal power region for high speed wind. Also, the proposed system power management uses a position and speed estimation technique, in this case is the simplified Extended Kalman Filter (EKF) [1]. 2.-MODEL OF PERMANENT MAGNET SYNCHRONOUS GENERATORS (PMSG) AND WIND TURBINEA.-Model PMSG.The equivalent model of PMSG [2], view figure 2, with a sinusoidal flux distribution is shown by equation (1). Where R s and L s are the machine internal resistive and inductance respectively, u a is the phase to neutral terminal voltage and e a is the phase to neutral electromotive force (EMF) driven by the permanent magnets. Equation (2) and (3) are the result of modeling the PSMG in a synchronous reference frame dq.(1) (2) (3)Where the induced flux in the machine stator is described by (4) and (5):

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“…The wind turbine and electric generator group, generally operate in four main operation regions [5] as figure 4 shows. The operation regions are:…”

Section: -Description Of the Control Structurementioning

confidence: 99%

Dynamic response analysis of small wind energy conversion systems (WECS) operating with torque control versus speed control

González¹,

Figueres²,

Garcerá³

et al. 2009

REPQJ

View full text Add to dashboard Cite

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“…Proper modelling and simulation of blade pitch angle actuators are presented in [10], among which that based on actuators with several levels of pitching speed and that based on a closed loop structure with saturation of the pitch angle and its rate limitation. Blade pitch angle control is therefore generally carried out in the constant power region, whilst in the maximum power region the pitch angle is usually set to zero or a very small value to exploit the turbine optimally as proposed in [19], where however the adopted control technique of the pitch angle is not described. A classic control of the wind turbine in the constant power range is presented in [13, pages 488-489], where the power is directly controller by a PI controller acting on the turbine blade pitch angle.…”

Section: Introductionmentioning

confidence: 99%

Growing Neural Gas based MPPT of variable pitch wind generators with induction machines

Cirrincione

Pucci

Vitale

2010

2010 IEEE Energy Conversion Congress and Exposition

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This paper proposes a maximum power point tracking (MPPT) technique for variable pitch wind generators with induction machines, which can suitably be adopted in both the maximum power range and the constant power range of the wind speed. To this aim, an MPPT technique based on the Growing Neural Gas (GNG) wind turbine surface identification and corresponding function inversion has been adopted here to cover also the situation of constant rated power region. This has been obtained, by including the blade pitch angle in the space of the data learnt by the GNG, and feeding back the estimated wind speed to compute the correct value of the pitch angle permitting the machine to work at rated power and torque. A further enhancement of the pitch angle selection by a simple Perturb & Observe (P&O) method has been integrated to cope with the wind estimation errors at machine rated speed. The proposed methodology has been verified both in numerical simulation and experimentally on a properly devised test set-up.Index Terms--wind generator, induction machine, maximum power point tracking (MPPT), neural networks (NN), variable pitch turbines NOMENCLATURE u sg u = u sgd +j u sgq : space vector of the grid side inverter voltages in the grid voltage reference frame; u s g = u sgD +j u sgD : space vector of the grid side inverter voltages in the fixed frame; u g u = u gd +j u gq : space vector of the grid voltages in the grid voltage reference frame; u g = u gD +j u gQ : space vector of the grid voltages in the fixed reference frame; i sg u = i sgd +j i sgq : space vector of the grid side inverter currents in the grid voltage reference frame; i sg = i sgD +j i sgQ : space vector of the grid side inverter currents in the fixed reference frame; ρ s = angle of the grid voltage space vector; u sgA ,u sgB ,u sgC : grid side inverter phase voltages; i sgA ,i sgB ,i sgC : grid side inverter phase currents; L, R : interconnection series inductance and its parasitic resistance; P, Q: active and reactive powers exchanged between the inverter and the grid; ω r = pulsation of the electrical grid; u sxy = u sx +j u sy :space vector of the machine side inverter voltages in the rotor flux reference frame; u s = u sD +j u sQ :space vector of the motor side inverter voltages in the stator reference frame; i sxy = i sx +j i sy :space vector of the motor side inverter currents in the rotor flux reference frame; i s = i sD +j i sQ :space vector of the motor side inverter currents in the stator reference frame; u sA ,u sB ,u sC : motor side inverter phase voltages; i sA ,i sB ,i sC : machine side inverter phase currents; t e = electromagnetic torque; ψ r = rotor flux linkage space vector; ρ r = angle of the rotor flux linkage space vector; p = number of pole pairs; ω mr = machine speed (in mechanical angles); ω rm = electric speed of the rotor flux linkage; ω T = wind turbine speed; P m = turbine mechanical power; P = generated electric active power; Q = generated electric reactive power; C p = performance power coefficient of the turbine; C T = perf...

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“…Reference [13] replaces the constant step size by the scaled measure of the slope of power with respect to the perturbed generator speed ∆ ∆ ⁄ (can also be with respect to the converter's duty ratio). This idea is actually not new as quite a similar one was published in [14] long time back for the HCS in PV systems.…”

Section: Fixed Step Under Variable Wind Speedmentioning

confidence: 99%

Power Efficiency Optimization of Switched Reluctance Generator (SRG) Using Power Disturbance Maximum Power Point Tracking (MPPT)

Magagula¹

2017

IJCEE

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Abstract:Power efficiency optimization of switched reluctance generator (SRG) using power disturbance maximum power point tracking (MPPT) for wind generation system with fixed-step and variable-step is presented in this paper. The operating principle of the power disturbance MPPT control method is to detect the change of output power and change of shaft speed to adjust the phase current of SRG. This is independent of the wind turbine characteristics to track maximum output power of the wind turbine is developed is basically the extended adaptation of the hill climb searching (HCS). The presented MPPT method is modelled and simulated in MATLAB/SIMULINK software to verify and investigate it performance under fixed step and variable step.

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Control Performance Analysis of Feedforward and Maximum Peak Power Tracking for Small-and Medium-Sized Fixed Pitch Wind Turbines

Cited by 27 publications

References 7 publications

Dynamic response analysis of small wind energy conversion systems (WECS) operating with torque control versus speed control

Dynamic response analysis of small wind energy conversion systems (WECS) operating with torque control versus speed control

Growing Neural Gas based MPPT of variable pitch wind generators with induction machines

Power Efficiency Optimization of Switched Reluctance Generator (SRG) Using Power Disturbance Maximum Power Point Tracking (MPPT)

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