摘 要
随着能源需求增长和环境问题加剧，光伏发电因其清洁和可再生特性受到关注。本文研究了提高光伏系统效率和稳定并网的技术。针对效率低和稳定性差的问题，提出结合改进的MPPT算法和智能并网控制器的设计方案。通过自适应遗传算法优化MPPT，提升了光伏阵列在不同条件下的输出功率；同时，基于模糊逻辑的并网控制器有效应对电网波动。实验显示，优化方法使发电效率提升约15%，并网稳定性提高20%以上。研究还探讨了不同拓扑结构对性能的影响，提出了分布式光伏系统的最优配置方案。这为提升光伏系统性能提供了理论和技术支持，为清洁能源应用打下了基础。
关键词：光伏发电系统 最大功率点跟踪（MPPT）算法 智能并网控制器 自适应遗传算法 模糊逻辑控制
Abstract
As energy demand grows and environmental problems increase, photovoltaic power generation attracts attention for its clean and renewable characteristics. In this paper, we study the technology of improving photovoltaic system efficiency and stable grid connection is studied. For the problem of low efficiency and poor stability, the design scheme combining improved MPPT algorithm and intelligent grid-connected controller is proposed. MPPT optimization by adaptive genetic algorithm improves the output power of PV array under different conditions; Meanwhile, the grid-connected controller based on fuzzy logic responds to the grid fluctuation. The experiment shows that the optimization method improves the power generation efficiency by about 15% and the grid-connected stability by more than 20%. The study also discusses the influence of different topologies on the performance, and the optimal configuration scheme of distributed photovoltaic system is proposed. This provides theoretical and technical support for improving the performance of photovoltaic systems, and lays a foundation for the application of clean energy.
Keyword:Photovoltaic Power Generation System Maximum Power Point Tracking (Mppt) Algorithm Intelligent Grid-connected Controller Adaptive Genetic Algorithm Fuzzy Logic Control
目 录
1 绪论 1
1.1 光伏发电系统研究背景与意义 1
1.2 国内外研究现状综述 1
1.3 本文研究方法概述 2
2 光伏发电系统效率优化技术 2
2.1 光伏电池特性及影响因素 2
2.2 最大功率点跟踪算法研究 3
2.3 系统损耗分析与优化策略 3
3 并网控制关键技术研究 4
3.1 并网逆变器控制策略 4
3.2 电能质量改善措施 5
3.3 低电压穿越技术实现 5
4 系统集成与优化设计 6
4.1 微电网架构设计原则 6
4.2 储能系统配置方案 7
4.3 整体性能评估体系 7
结论 8
参考文献 9
致谢 10
