基于模糊逻辑的小型风力发电机组MPPT控制器

D. Petrila, F. Blaabjerg, N. Muntean, C. Lascu
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引用次数: 16

摘要

本文介绍了一种基于模糊逻辑控制器(FLC)的变速小型风力发电系统最大功率点跟踪(MPPT)策略设计。FLC有作为输入变量的变化在机械功率(ΔPm),在转子转速(Δω)的变化,和ΔPm/Δω的标志。参考发电机电流的变化(ΔI*)是输出变量。在小功率应用中,当风机惯性较小,风速连续变化时,为了建立准确的理论模型,实现最优运行,必须考虑瞬态。因此,机械功率(Pm)由发电机的机械(输入)功率(Pg)加上动态功率组成,从而得到动态功率与转速的曲线。该控制器能够跟踪风力条件变化的最大功率点,并且对涡轮机参数的变化具有鲁棒性。通过数字仿真对FLC进行了描述、分析和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic based MPPT controller for a small wind turbine system
This paper describes the design of a maximum power point tracking (MPPT) strategy for a variable speed, small scale, wind turbine systems based on a fuzzy logic controller (FLC). The FLC has as input variables the change in mechanical power (ΔPm), the change in rotor speed (Δω), and the sign of ΔPm/Δω. The change of reference generator current (ΔI*) is the output variable. For small power applications, when the turbine inertia is relatively small, and the wind speed changes continuously, it is important to consider the transients in order to develop an accurate theoretical model and to attain optimal operation. Therefore, the mechanical power (Pm) is composed of the generator mechanical (input) power (Pg) plus the dynamic power, resulting in the dynamic power versus rotating speed curve. The controller is able to track the maximum power point for changing wind conditions, and is robust with respect to turbine parameter changes. The FLC is described, analyzed and validated by digital simulations.
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