摘 要
风力发电作为一种清洁可再生能源，在全球能源转型中发挥着重要作用。然而，由于风速的随机性和间歇性，如何实现最大功率点跟踪（MPPT）成为提高风力发电效率的关键问题。本文针对这一挑战，提出了一种基于自适应模糊控制算法的最大功率点跟踪策略，旨在优化风力发电系统的输出性能。通过引入自适应模糊控制器，该方法能够实时调整控制参数，以适应不同风速条件下的最优工作状态。研究采用MATLAB/Simulink平台进行仿真分析，并与传统P%，同时减少了振荡现象。此外，该方法还具有较强的鲁棒性和抗干扰能力，能够在复杂多变的风况下保持稳定运行。本研究为风力发电系统的优化控制提供了新的思路和技术手段，对提高风电转换效率、促进清洁能源发展具有重要意义。
关键词：风力发电 最大功率点跟踪 自适应模糊控制 风电转换效率 鲁棒性
Abstract
Wind power generation, as a clean and renewable energy source, plays a crucial role in global energy transition. However, due to the randomness and intermittency of wind speed, achieving maximum power point tracking (MPPT) has become a key challenge for improving the efficiency of wind power generation. This study addresses this challenge by proposing an MPPT strategy based on an adaptive fuzzy control algorithm aimed at optimizing the output performance of wind power generation systems. By incorporating an adaptive fuzzy controller, this method can dynamically adjust control parameters in real-time to achieve optimal operating conditions under varying wind speeds. The research employs the MATLAB/Simulink platform for simulation analysis and compares the proposed method with traditional P algorithms and fixed-step hill-climbing methods. Results indicate that the adaptive fuzzy control algorithm effectively enhances system response speed and steady-state accuracy under both low and high wind speed conditions, with an average power capture efficiency improvement of approximately 8.5%, while also reducing oscillation phenomena. Additionally, this approach demonstrates strong robustness and anti-interference capabilities, ensuring stable operation under complex and variable wind conditions. This study provides new insights and technical means for the optimal control of wind power generation systems, contributing significantly to the improvement of wind energy conversion efficiency and the promotion of clean energy development.
Keyword:Wind Power Generation Maximum Power Point Tracking Adaptive Fuzzy Control Wind Power Conversion Efficiency Robustness
目 录
1 绪论 1
1.1 风力发电系统研究背景与意义 1
1.2 最大功率点跟踪策略研究现状 1
1.3 本文研究方法概述 1
2 风力发电系统特性分析 2
2.1 风力机输出特性研究 2
2.2 发电机运行特性分析 3
2.3 变流器控制策略探讨 3
3 最大功率点跟踪算法研究 4
3.1 常规 4
3.2 改进型 4
3.3 算法性能对比分析 5
4 MPPT控制系统实现 6
4.1 控制系统硬件架构 6
4.2 控制系统软件设计 6
4.3 实验验证与结果分析 7
结论 7
参考文献 9
致谢 10
风力发电作为一种清洁可再生能源，在全球能源转型中发挥着重要作用。然而，由于风速的随机性和间歇性，如何实现最大功率点跟踪（MPPT）成为提高风力发电效率的关键问题。本文针对这一挑战，提出了一种基于自适应模糊控制算法的最大功率点跟踪策略，旨在优化风力发电系统的输出性能。通过引入自适应模糊控制器，该方法能够实时调整控制参数，以适应不同风速条件下的最优工作状态。研究采用MATLAB/Simulink平台进行仿真分析，并与传统P%，同时减少了振荡现象。此外，该方法还具有较强的鲁棒性和抗干扰能力，能够在复杂多变的风况下保持稳定运行。本研究为风力发电系统的优化控制提供了新的思路和技术手段，对提高风电转换效率、促进清洁能源发展具有重要意义。
关键词：风力发电 最大功率点跟踪 自适应模糊控制 风电转换效率 鲁棒性
Abstract
Wind power generation, as a clean and renewable energy source, plays a crucial role in global energy transition. However, due to the randomness and intermittency of wind speed, achieving maximum power point tracking (MPPT) has become a key challenge for improving the efficiency of wind power generation. This study addresses this challenge by proposing an MPPT strategy based on an adaptive fuzzy control algorithm aimed at optimizing the output performance of wind power generation systems. By incorporating an adaptive fuzzy controller, this method can dynamically adjust control parameters in real-time to achieve optimal operating conditions under varying wind speeds. The research employs the MATLAB/Simulink platform for simulation analysis and compares the proposed method with traditional P algorithms and fixed-step hill-climbing methods. Results indicate that the adaptive fuzzy control algorithm effectively enhances system response speed and steady-state accuracy under both low and high wind speed conditions, with an average power capture efficiency improvement of approximately 8.5%, while also reducing oscillation phenomena. Additionally, this approach demonstrates strong robustness and anti-interference capabilities, ensuring stable operation under complex and variable wind conditions. This study provides new insights and technical means for the optimal control of wind power generation systems, contributing significantly to the improvement of wind energy conversion efficiency and the promotion of clean energy development.
Keyword:Wind Power Generation Maximum Power Point Tracking Adaptive Fuzzy Control Wind Power Conversion Efficiency Robustness
目 录
1 绪论 1
1.1 风力发电系统研究背景与意义 1
1.2 最大功率点跟踪策略研究现状 1
1.3 本文研究方法概述 1
2 风力发电系统特性分析 2
2.1 风力机输出特性研究 2
2.2 发电机运行特性分析 3
2.3 变流器控制策略探讨 3
3 最大功率点跟踪算法研究 4
3.1 常规 4
3.2 改进型 4
3.3 算法性能对比分析 5
4 MPPT控制系统实现 6
4.1 控制系统硬件架构 6
4.2 控制系统软件设计 6
4.3 实验验证与结果分析 7
结论 7
参考文献 9
致谢 10
