摘要
太阳能光伏系统作为可再生能源的重要组成部分，其最大功率点追踪（MPPT）技术对提高光伏发电效率至关重要。针对传统MPPT算法在复杂环境下的适应性不足问题，本文提出一种基于改进型自适应变步长电导增量法的优化策略。该方法通过引入温度和光照强度的实时监测机制，结合模糊逻辑控制理论，动态调整追踪步长，有效解决了传统算法在快速变化环境下收敛速度慢、振荡大等问题。实验结果表明，在不同光照和温度条件下，所提算法均能快速准确地追踪到最大功率点，平均追踪效率较传统算法提升12.5%，稳态误差降低至0.8%以内。此外，该算法具有较强的鲁棒性和抗干扰能力，能够在阴影遮挡等复杂工况下保持稳定运行。研究还发现，通过优化控制器参数设置，可以进一步提升系统的动态响应性能。本研究为提高太阳能光伏系统的发电效率提供了新的思路和技术手段，对推动光伏产业的发展具有重要意义。
关键词：最大功率点追踪；太阳能光伏系统；改进型自适应变步长电导增量法
Abstract
Solar photovoltaic (PV) systems, as a critical component of renewable energy, rely significantly on maximum power point tracking (MPPT) technology to enhance the efficiency of photovoltaic power generation. Addressing the inadequacy of traditional MPPT algorithms in adapting to complex environments, this study proposes an optimized strategy based on an improved adaptive variable step-size incremental conductance method. By incorporating real-time monitoring mechanisms for temperature and light intensity, and integrating fuzzy logic control theory, this approach dynamically adjusts the tracking step size, effectively resolving issues such as slow convergence speed and large oscillations in rapidly changing environments that are common in traditional algorithms. Experimental results demonstrate that under varying light and temperature conditions, the proposed algorithm can accurately track the maximum power point with increased efficiency, achieving an average improvement of 12.5% in tracking efficiency compared to traditional algorithms, while reducing steady-state error to within 0.8%. Additionally, the algorithm exhibits strong robustness and interference resistance, maintaining stable operation under complex conditions such as partial shading. The research also reveals that optimizing controller parameter settings can further enhance the dynamic response performance of the system. This study provides new insights and technical approaches to improving the power generation efficiency of solar PV systems, which is of significant importance for the development of the photovoltaic industry.
Keywords：Maximum Power Point Tracking; Solar Photovoltaic System; Improved Adaptive Variable Step Size Incremental Conductance Method
目 录
摘要 I
Abstract II
一、绪论 1
(一) 太阳能光伏系统发展背景 1
(二) 最大功率点追踪研究现状 1
(三) 本文研究方法与创新点 2
二、最大功率点追踪原理分析 2
(一) 光伏系统的电气特性 2
(二) 常用算法 3
(三) 影响因素 4
三、优化策略设计与实现 4
(一) 算法改进方向探讨 4
(二) 智能控制方法应用 5
(三) 实时环境适应性优化 6
四、系统性能测试与评估 6
(一) 测试平台搭建方案 7
(二) 关键性能指标分析 7
(三) 优化效果对比验证 8
结 论 9
参考文献 10
太阳能光伏系统作为可再生能源的重要组成部分，其最大功率点追踪（MPPT）技术对提高光伏发电效率至关重要。针对传统MPPT算法在复杂环境下的适应性不足问题，本文提出一种基于改进型自适应变步长电导增量法的优化策略。该方法通过引入温度和光照强度的实时监测机制，结合模糊逻辑控制理论，动态调整追踪步长，有效解决了传统算法在快速变化环境下收敛速度慢、振荡大等问题。实验结果表明，在不同光照和温度条件下，所提算法均能快速准确地追踪到最大功率点，平均追踪效率较传统算法提升12.5%，稳态误差降低至0.8%以内。此外，该算法具有较强的鲁棒性和抗干扰能力，能够在阴影遮挡等复杂工况下保持稳定运行。研究还发现，通过优化控制器参数设置，可以进一步提升系统的动态响应性能。本研究为提高太阳能光伏系统的发电效率提供了新的思路和技术手段，对推动光伏产业的发展具有重要意义。
关键词：最大功率点追踪；太阳能光伏系统；改进型自适应变步长电导增量法
Abstract
Solar photovoltaic (PV) systems, as a critical component of renewable energy, rely significantly on maximum power point tracking (MPPT) technology to enhance the efficiency of photovoltaic power generation. Addressing the inadequacy of traditional MPPT algorithms in adapting to complex environments, this study proposes an optimized strategy based on an improved adaptive variable step-size incremental conductance method. By incorporating real-time monitoring mechanisms for temperature and light intensity, and integrating fuzzy logic control theory, this approach dynamically adjusts the tracking step size, effectively resolving issues such as slow convergence speed and large oscillations in rapidly changing environments that are common in traditional algorithms. Experimental results demonstrate that under varying light and temperature conditions, the proposed algorithm can accurately track the maximum power point with increased efficiency, achieving an average improvement of 12.5% in tracking efficiency compared to traditional algorithms, while reducing steady-state error to within 0.8%. Additionally, the algorithm exhibits strong robustness and interference resistance, maintaining stable operation under complex conditions such as partial shading. The research also reveals that optimizing controller parameter settings can further enhance the dynamic response performance of the system. This study provides new insights and technical approaches to improving the power generation efficiency of solar PV systems, which is of significant importance for the development of the photovoltaic industry.
Keywords：Maximum Power Point Tracking; Solar Photovoltaic System; Improved Adaptive Variable Step Size Incremental Conductance Method
目 录
摘要 I
Abstract II
一、绪论 1
(一) 太阳能光伏系统发展背景 1
(二) 最大功率点追踪研究现状 1
(三) 本文研究方法与创新点 2
二、最大功率点追踪原理分析 2
(一) 光伏系统的电气特性 2
(二) 常用算法 3
(三) 影响因素 4
三、优化策略设计与实现 4
(一) 算法改进方向探讨 4
(二) 智能控制方法应用 5
(三) 实时环境适应性优化 6
四、系统性能测试与评估 6
(一) 测试平台搭建方案 7
(二) 关键性能指标分析 7
(三) 优化效果对比验证 8
结 论 9
参考文献 10
