风电系统功率最大化与PI整定的多变量极值寻优控制

Safanah M. Raafat, Rajaa Hussein
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引用次数: 1

摘要

对于安装在低风速地区的风力发电机来说,最大限度地获取电能是一个重要的问题。为了实现最大功率点跟踪(MPPT),本文提出了一种基于极值寻优控制(ESC)方法的风电机组运行区域2和3的最大功率点跟踪方法。通过抖动调制ESC方案生成发电机的参考转速和螺距控制的参考俯仰角。除了使用ESC生成所需的参考轨迹外,ESC还用于调整PI控制器,以确定可以实现更好跟踪的最佳增益值。其目的是(i)确保系统的稳定性(ii)提取最大的电力捕获以及减少机械负荷以保护涡轮机。本文对ESC实时优化和粒子群优化(PSO)的系统性能进行了比较。此外,在内部控制回路中,提出了间接磁场定向控制(IFOC)来实现发电机电流的解耦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariable Extremum Seeking Control for Power Maximization and PI Tuning of Wind Turbine System
Maximization of the power capture is an important issue for the turbines that are installed in low wind speed area. In order to achieve the Maximum Power Point Tracking (MPPT), a method for wind turbine operations regions 2 and 3 has been developed here based on Extremum Seeking Control (ESC) approach. The reference speed to the generator and the reference pitch angle to pitch control were generated via dither-modulation ESC scheme. In addition to using ESC for generating the desired reference trajectories, ESC is also used for tuning PI controllers in order to determine the optimal gain values that can achieve a better tracking. The purpose is to (i) ensure the stability of the system (ii) extract the maximum electrical power capture as well as reduce the mechanical loads to protect the turbine. Comparison between the performance of the system using ESC real-time optimization and Particle Swarm Optimization (PSO) has been carried out in this paper. Furthermore, in the inner control loop, the implementation of Indirect Field Orientation Control (IFOC) has been presented to decouple the currents of the generator.
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