Conference Paper

Active Power Control Strategies of DFIG Wind Turbines

Catholic University of Louvain, Лувен-ла-Нев, Walloon, Belgium
DOI: 10.1109/PCT.2007.4538370 Conference: Power Tech, 2007 IEEE Lausanne
Source: IEEE Xplore


This paper is devoted to the active power control of DFIG wind turbines. An adaptation of the usual power set point control has been proposed in order to improve the transient behavior for high wind speeds. Several strategies for the active power control are studied. In the high wind speed range, the pitch control seems the most relevant to release a power margin while, in the low wind speed range, the increase of the rotation speed is more convenient. The power margin set point variation rate has to be limited in order to avoid torsion oscillations of the shaft. Nevertheless, the reaction speed of the wind turbine lies in the time frame of seconds, so that the participation to the primary frequency control is feasible.

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    • "Although the results are interesting, there is a lack of discussion on reactive power control, which is sometimes crucial to power system reliability. On the other hand, for those references [22]–[36] considering only the electrical part, [22], [23] considered only the active power control, while [24]–[27] dealt with the reactive power. In contrast, we provide an integrated solution to the more difficult problem of simultaneously controlling both the active and reactive powers by appropriately adjusting both the rotor voltages and the blade pitch angle. "
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    ABSTRACT: This paper presents a feedback/feedforward nonlinear controller for variable-speed wind turbines with doubly fed induction generators. By appropriately adjusting the rotor voltages and the blade pitch angle, the controller simultaneously enables: 1) control of the active power in both the maximum power tracking and power regulation modes; 2) seamless switching between the two modes; and 3) control of the reactive power so that a desirable power factor is maintained. Unlike many existing designs, the controller is developed based on original, nonlinear, electromechanically-coupled models of wind turbines, without attempting approximate linearization. Its development consists of three steps: 1) employ feedback linearization to exactly cancel some of the nonlinearities and perform arbitrary pole placement; 2) design a speed controller that makes the rotor angular velocity track a desired reference whenever possible; and 3) introduce a Lyapunov-like function and present a gradient-based approach for minimizing this function. The effectiveness of the controller is demonstrated through simulation of a wind turbine operating under several scenarios.
    IEEE Transactions on Control Systems Technology 08/2011; 19(4-19):744 - 756. DOI:10.1109/TCST.2010.2053931 · 2.47 Impact Factor
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    • "The fuzzy controllers are non linear in nature and it is expected to have a robust performance under disturbances. Analytically, the four main flow subsystems of the FCS and the auxiliary Fig. 5. Active power and rotation speed during the acceleration technique (Janssens et al., 2007). subsystems establish a non linear FCS. "

    Fundamental and Advanced Topics in Wind Power, 06/2011; , ISBN: 978-953-307-508-2
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    • "It can be seen in Fig. 8 that the degradation of output power is achieved by changing the operating point in the turbine characteristics. As studied in [14], the stability of the turbine working point is increased when C p is decreased through the increase of λ. This explains why the evolution of C p with power reserve is situated on the right side of the curve without reserve. "
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    ABSTRACT: In this paper, a primary frequency control strategy based on fuzzy logic designed for variable speed wind generators is proposed and tested on a 2,2 kW test bench. The fuzzy logic supervisor ensures a regular primary reserve on a large range of wind speed without any wind speed measurement. This supervisor controls simultaneously the generator torque and the pitch angle to keep the primary reserve; it determines in real time the generator power reference value. The fuzzy logic supervisor is compared with a classical strategy which maximises the power efficiency.The experiments point out the regularity of the power reserve and the ability to contribute to frequency control.
    Wind Power to the Grid - EPE Wind Energy Chapter 1st Seminar, 2008. EPE-WECS 2008; 04/2008
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