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.

中文翻译：

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基于改进的斐波那契搜索算法的MPPT风能转换系统新方法

本文针对风能转换系统（WECS），提出了一种基于斐波那契搜索算法（FSA）的最大功率点跟踪（MPPT）新方法。根据WECS的要求对常规FSA进行了修改，以提高其作为MPPT算法的性能。针对不同的风速分布（例如阶梯型和随机变化的风速），研究了所提出方法的性能。此外，将基于FSA的改进MPPT算法与常规扰动和观测（CPO）和可变步长PO（VSPO）算法进行了比较。仿真结果证明了该方法在从系统中提取的最大功率方面优于CPO和VSPO。