使用 2 型模糊控制器改进基于双馈感应发电机的风力系统的最大功率点跟踪功能

M. Kaddache, S. Drid, A. Khemis, D. Rahem, L. Chrifi-Alaoui
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摘要

引言本文介绍了各种最大功率点跟踪 (MPPT) 方法,以最大限度地提高风力发电系统的能量传输。在这些技术中,我们提出了一种基于典型模糊逻辑的技术。尽管模糊 MPPT 的性能有所降低。出于多种原因,模糊 MPPT 可以取代传统的优化技术。实际上,传统 MPPT 方法的有效性主要取决于所提供信息的准确性以及风速或风力系统空气动力特性的知识。新颖性。我们提出了用于监测最大功率点的新型 MPPT。我们开发了一种算法来提高控制性能,并使用典型的模糊逻辑 2 来控制定子的有功和无功功率,从而实现对并网双馈感应发电机的稳健控制。目的。根据风力涡轮机的空气动力学特性,MPPT 是实现高效风能转换的必要条件,这意味着风力涡轮机的转速应实时调整,以捕获最多的风能。方法。建立风能生产系统的数学模型非常复杂,会受到风力变化的强烈影响,而且是一个非线性问题。因此,为了实现这一目标,我们将 Lyapunov 技术与滑模控制相结合,以确保总体渐近稳定性和对参数波动的鲁棒性。我们将模糊 2 型算法的性能与文献中建议的模糊 1 型算法和 "扰动与观察"(P&O)算法的性能进行了对比。实用价值。模拟结果表明,使用模糊逻辑技术的控制性能令人满意。从这些结果可以看出,对于风能系统的能量转换优化,模糊 2 型技术可能是一种可行的选择。因为它为避免与传统策略相关的技术或经济问题提供了极大的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum power point tracking improvement using type-2 fuzzy controller for wind system based on the double fed induction generator
Introduction. In this paper, to maximize energy transmission in wind power system, various Maximum Power Point Tracking (MPPT) approaches are available. Among these techniques, we have proposed the one based on typical fuzzy logic. Despite the somewhat reduced performance of fuzzy MPPT. For a number of reasons, fuzzy MPPT can replace conventional optimization techniques. In practice, the effectiveness of conventional MPPT methods depends mainly on the accuracy of the information given and the wind speed or knowledge of the aerodynamic properties of the wind system. Novelty. Our new MPPT for monitoring the maximum power point has been proposed. We developed an algorithm to improve control performance and govern the stator’s developed active and reactive power using the typical fuzzy logic 2 and enable robust control of a grid-connected, doubly fed induction generator. Purpose. MPPT which implies the wind turbine’s rotating speed should be modified in real time to capture the most wind energy, is necessary to achieve high efficiency for wind energy conversion, according to the aerodynamic characteristics of the wind turbine. Methods. Developing a mathematical model for a wind energy production system is complex, can be strongly affected by wind variation and is a non-linear problem. Thanks to these characteristics, thus, the Lyapunov technique is combined with a sliding mode control to ensure overall asymptotic stability and robustness with regard to parametric fluctuations in order to accomplish this goal. We contrasted our fuzzy type-2 algorithm’s performance with that of the fuzzy type-1 and Perturbation & Observation (P&O) suggested in the literature. Practical value. The simulation results demonstrate that the control performance is satisfactory when using the fuzzy logic technique. From these results, it can be said for the optimization of energy conversion in wind systems, the fuzzy type-2 technique may offer a workable option. Since it presents a great possibility to avoid problems either technical or economics linked to conventional strategies.
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