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Volume 6 Issue 5
Sep.  2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2019  >  6(5): 1209-1219
J. S. Solís-Chaves, Lucas L. Rodrigues, C. M. Rocha-Osorio and Alfeu J. Sguarezi Filho, "A Long-Range Generalized Predictive Control Algorithm for a DFIG Based Wind Energy System," IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1209-1219, Sept. 2019. doi: 10.1109/JAS.2019.1911699
Citation: J. S. Solís-Chaves, Lucas L. Rodrigues, C. M. Rocha-Osorio and Alfeu J. Sguarezi Filho, "A Long-Range Generalized Predictive Control Algorithm for a DFIG Based Wind Energy System," IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1209-1219, Sept. 2019. doi: 10.1109/JAS.2019.1911699
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A Long-Range Generalized Predictive Control Algorithm for a DFIG Based Wind Energy System

doi: 10.1109/JAS.2019.1911699
Funds:  This work was supported by UFABC, CNPQ and CAPES
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    Abstract
  • This paper presents a new Long-range generalized predictive controller in the synchronous reference frame for a wind energy system doubly-fed induction generator based. This controller uses the state space equations that consider the rotor current and voltage as state and control variables, to execute the predictive control action. Therefore, the model of the plant must be transformed into two discrete transference functions, by means of an auto-regressive moving average model, in order to attain a discrete and decoupled controller, which makes it possible to treat it as two independent single-input single-output systems instead of a magnetic coupled multiple-input multiple-output system. For achieving that, a direct power control strategy is used, based on the past and future rotor currents and voltages estimation. The algorithm evaluates the rotor current predictors for a defined prediction horizon and computes the new rotor voltages that must be injected to controlling the stator active and reactive powers. To evaluate the controller performance, some simulations were made using Matlab/Simulink. Experimental tests were carried out with a small-scale prototype assuming normal operating conditions with constant and variable wind speed profiles. Finally, some conclusions respect to the dynamic performance of this new contro-ller are summarized.

     

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    Highlights

    • A new DFIG model based on the CARIMA model is presented in this paper.
    • A new digital long-range controller based on the generalized predictive control (GPC) theory for the doubly-fed induction generator (DFIG) based Wind Energy System, is presented.
    • The new GPC developed here was compared via Simulink simulation, with a classical PI controller to evaluate its dynamic response and thus confirm its superior performance.
    • A remarkable advantage for this GPC is that a single weighting factor adjustment is needed for the algorithm in counter-position with other nonlinear controllers.
    • This new long-range GPC was tested under normal operating conditions in a small scale prototype considering constant and variable wind speed profiles with faster dynamic and performance results.
    • A DFIG’s parameter variation test was done to probe the better dynamic response for this GPC algorithm.

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