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    Modified golden section search based MPPT algorithm for the WECS
    (Elsevier - Division Reed Elsevier India Pvt Ltd, 2021) Yazici, Irfan; Yaylaci, Ersagun Kursat; Yalcin, Faruk
    The maximum power point tracking (MPPT) algorithms aim to provide maximum power for each time even though the environmental condition changes. It is so important to get maximum available power at each time from the wind energy conversion system (WECS) to be able to get back the capital cost of the system in a short while for the investors. In this paper, an MPPT algorithm based on the modified golden section search (GSS) method is proposed for the permanent magnet synchronous generator based WECS. Considering the system specifications, unlike the conventional GSS, the proposed method is modified by adding some features to it, such as detecting the variation of the wind speed, dynamic uncertainty range, and eliminating the oscillations around the maximum power point. The performance of the proposed method is validated for different wind scenarios such as suddenly changing wind speed and stochastic wind profile. Besides, the superiority of the proposed method over conventional and variable step perturb and observe methods in terms of maximum power extracted from the system is confirmed by comparative studies. The performance of the proposed method has also been studied experimentally for cases where the wind speed varies in step-type. (C) 2021 Karabuk University. Publishing services by Elsevier B.V.
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    A new MPPT method based on a modified Fibonacci search algorithm for wind energy conversion systems
    (Amer Inst Physics, 2021) Yazici, Irfan; Yaylaci, Ersagun Kursat; Cevher, Baris; Yalcin, Faruk; Yuzkollar, Can
    In this paper, a new maximum power point tracking (MPPT) method based on the Fibonacci search algorithm (FSA) is proposed for the wind energy conversion system (WECS). The conventional FSA is modified according to the requirements of the WECS to improve its performance as an MPPT algorithm. The performance of the proposed method is investigated for different wind-speed profiles such as step-type and stochastically varied wind speed. Also, the modified FSA based MPPT algorithm is compared with the conventional perturb and observe (CPO) and variable-step PO (VSPO) algorithms. The simulation results approve the superior performance of the proposed method over the CPO and VSPO in terms of maximum power extracted from the system. The real-time performance of the proposed method is also investigated for varying wind conditions in the form of step-up and step-down.