MPPT Control Methods in Wind Energy Conversion Systems

Thongam, J. S.; Ouhrouche, M.

doi:10.5772/21657

Cited by 63 publications

(25 citation statements)

References 31 publications

(38 reference statements)

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“…For variable speed wind turbines, the system is adjusted so that for each value of the wind speed, the turbine operates at maximum power, Maximum Power Point Tracking (MPPT). The purpose of the MPPT is to maintain the tip speed ratio of the wind turbine as close as possible to the optimal tip speed ratio [3] [5].…”

Section: Principles Of Controlling the Power Supplied By The Windmentioning

confidence: 99%

Simulator for studying the wind turbines work

Arad

Samoila

Petre

2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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This paper presents an easy to use simulator of a wind power generator. We can simulate the working characteristics depending on the wind speed and power. The simulator also allows to automatically control the electric power for certain wind parameters by modifying the pitch angle and the rotation speed. For variable speed wind turbines, the system is adjusted so that for each value of the wind speed, the turbine operates at maximum power.

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Section: Principles Of Controlling the Power Supplied By The Windmentioning

confidence: 99%

Simulator for studying the wind turbines work

Arad

Samoila

Petre

2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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“…where p sg and q sg are the instantaneous values of the active and reactive power of the stator of the DFIG as calculated in Equations (19) and (20), respectively. p sgref and q sgref are the reference values of the active and reactive power of the stator of the DFIG.…”

Section: Doubly Fed Induction Generator-rotor-side Convertermentioning

confidence: 99%

“…As in the previous cases, the overall system performance, that is, damping and the settling time has been considerably abridged by the proposed controller 'C'. The input to the maximum power point tracking (MPPT) algorithm [20] for the RSC of the DFIG is the wind velocity v w (in miles/s). The first objective is to find the tip speed ratio, λ, which is a function of the turbine blade radius r blade (in m), the turbine rotational speed ω t (in p.u.)…”

Section: Performance Under Longer Duration Parametric Variationsmentioning

confidence: 99%

Adaptive terminal sliding mode power control of DFIG based wind energy conversion system for stability enhancement

Patnaik

Dash

Mahapatra

2015

Int. Trans. Electr. Energ. Syst.

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Summary A novel adaptive terminal sliding mode instantaneous active and reactive power control for both the rotor‐side as well as grid‐side converters of the doubly fed induction generator (DFIG) based wind power extraction system is proposed in this paper using the abc frame of reference. This approach is independent of unmodeled dynamics of the phase‐locked loops that reduces the nonlinearities in computing the control objective. The adaptive nature of the terminal sliding mode controller design offers a better and enhanced transient response as compared with some of the conventional methods for a wide range of disturbances such as switching faults, reference tracking and wind speed variation for both the sub‐synchronous and synchronous modes of operation of the doubly fed induction generator subjected to lower and higher wind speeds. Moreover, a maximum power point tracking algorithm has been incorporated to compute the reference power of the stator of the DFIG, which is utilized in designing the control system for the rotor‐side converter. Further extensive computer simulations have been carried out with the DFIG operating in a single machine or multimachine environment to validate the effectiveness of the proposed control. Also the robustness and stability of the proposed adaptive terminal sliding mode control is verified using the MATLAB/SIMULINK based DFIG model. Copyright © 2015 John Wiley & Sons, Ltd.

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“…On the other hand, the variable speed WTG, which employ either doubly fed induction generator (DFIG) or permanent magnet synchronous generator (PMSG), claim not only higher energy output owing to increased overall efficiency, but also longer plant life as the stress on tower, blades, gear, shaft etc. gets much reduced when compared with the fixed speed WTG …”

Section: Introductionmentioning

confidence: 99%

“…The combined power conversion efficiency of a grid‐connected fixed speed wind turbine generator (WTG), which essentially involves a squirrel cage induction generator coupled to a wind turbine (WT), varies with wind speed variation and thus yields poor average efficiency meaning suboptimal aggregate energy extraction for an installed WTG capacity . On the other hand, the variable speed WTG, which employ either doubly fed induction generator (DFIG) or permanent magnet synchronous generator (PMSG), claim not only higher energy output owing to increased overall efficiency, but also longer plant life as the stress on tower, blades, gear, shaft etc.…”

Section: Introductionmentioning

confidence: 99%

Development of a comprehensive MPPT for grid‐connected wind turbine driven PMSG

Vijayakumari

Kottayil

2019

Wind Energy

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This paper proposes a comprehensive MPPT method by which extraction of maximum power from wind turbine and its subsequent transfer through various power stages and final delivery to the connected grid are realized. In the proposed system, the operation of the wind turbine at its maximum efficiency point is maintained by control of grid-tied inverter such that the shaft speed of the generator is set to result the desired optimum tip speed ratio of the turbine. The proposed comprehensive MPPT estimates the required DC link voltage for each wind speed using a unified system model, uses a loss factor to account for the system losses, and then controls the inverter to push the WT extracted maximum power into the grid. The comprehensive MPPT is developed and is validated in MATLAB/Simulink platform in a wide range of operating wind speed. The results ascertain that the wind turbine is made to operate at its maximum efficiency point for all wind speeds below the rated one. KEYWORDS maximum power point tracking, turbine generator matching, unified system model, wind turbine generator 1 | INTRODUCTIONThe combined power conversion efficiency of a grid-connected fixed speed wind turbine generator (WTG), which essentially involves a squirrel cage induction generator coupled to a wind turbine (WT), varies with wind speed variation and thus yields poor average efficiency meaning suboptimal aggregate energy extraction for an installed WTG capacity. 1,2 On the other hand, the variable speed WTG, which employ either doubly fed induction generator (DFIG) or permanent magnet synchronous generator (PMSG), claim not only higher energy output owing to increased overall efficiency, but also longer plant life as the stress on tower, blades, gear, shaft etc. gets much reduced when compared with the fixed speed WTG. [1][2][3][4] The generic WT characteristics shown in Figure 1 is the plot of its power coefficient C p against the tip-speed ratio (TSR) λ, and the latter can be expressed aswhere, ω is the shaft speed, R is the length of the blade, and V w is the wind speed. 1-7 λ opt is the unique value of λ at which the WT operates at its maximum efficiency of C pmax . For any other value of λ, for example at λ 1 (that is less than λ opt ) and at λ 2 (that is higher than λ opt ), C p is less than C pmax . It therefore suggests the WT to have a varying ω in order to counteract the variation of V w in Equation 1.1 and thus to retain both λ and C p at the optimum point. In other words, if the turbine speed is allowed to vary proportional to the wind speed variation, then it is possible to maximize the wind electricity generation at any site and in turn maximize the profitability. Operation of WT at C pmax is termed as maximum power point tracking (MPPT) in a WT powered system.

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MPPT Control Methods in Wind Energy Conversion Systems

Cited by 63 publications

References 31 publications

Simulator for studying the wind turbines work

Simulator for studying the wind turbines work

Adaptive terminal sliding mode power control of DFIG based wind energy conversion system for stability enhancement

Development of a comprehensive MPPT for grid‐connected wind turbine driven PMSG

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