Design of a novel intelligent cooperative type-2 fuzzy logic controller and fractional-order synergetic approach for wind energy systems based MPPT methodology

被引:1
作者
Annane, Mohamed El Moustapha [1 ]
Ounissi, Amor [1 ]
Abdessemed, Rachid [1 ]
Babes, Badreddine [2 ]
机构
[1] Univ Batna 2, Dept Elect Engn, LEB Res Lab, Batna 05000, Algeria
[2] Res Ctr Ind Technol CRTI, POB 64,Cheraga, Algiers 16014, Algeria
关键词
Wind energy conversion system (WECS); IT2-FLS; Fractional nonlinear synergetic controller (FNSC); Maximum power point tracking (MPPT); PREDICTIVE CONTROL;
D O I
10.1007/s40430-024-05138-9
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Improving wind generator performance demands advanced and efficient control strategies to maximize aerodynamic energy conversion. Since the wind is always changing, the output power of a wind generator may be maximized by driving the wind rotor at the best rotational velocity for a given wind velocity. This is accomplished using a maximum power point tracking (MPPT) system. Over the years, many advanced MPPT controls have been developed, each with huge potential to generate the maximum power in the most efficient and effective way. Concerning the present study on the MPPT control, this paper discusses the analysis, design and real-time implementation of a new intelligent cooperative control technique to enhance the MPPT of wind power generators with isolated loads. The primary goal of the research is to develop of an interval type-2 fuzzy logic system (IT2-FLS) MPP estimator that can ensure the operation of the wind generator in maximum power with higher efficiency, less steady-state error, and power fluctuation. Furthermore, a fractional nonlinear synergetic controller has also been designed to enhance the speed response, which can be implemented with a DC-DC boost converter. The suggested intelligent cooperative MPPT controller is tested in an experiment using a permanent magnet synchronous generator-based wind turbine structure. Two different wind speed test scenarios were performed to evaluate the performance of the considered strategy, where the performance of the suggested intelligent cooperative MPPT controller was compared to the performance of the IT1-FLS-based MPPT technique in terms of speed fluctuation ratio, speed error in steady state, and tracking reference. The obtained results indicate that the suggested intelligent cooperative MPPT controller achieves superior performance. The effectiveness of the considered strategy is very good, which makes it a suitable option for regulating various wind generators.
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页数:14
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