电力电子在可再生能源发电中的应用及控制策略
摘要
随着全球能源需求的增长和对环境保护的重视，可再生能源发电成为解决能源危机和环境问题的重要途径，电力电子技术在其中发挥着不可替代的作用。本研究旨在探讨电力电子在可再生能源发电中的应用及控制策略，以提高发电效率、稳定性和电能质量。通过分析风力发电、光伏发电等典型可再生能源发电系统，采用先进的电力电子变换器拓扑结构与智能控制算法相结合的方法，实现了对可再生能源发电系统的高效能量转换与精确控制。研究结果表明，基于模型预测控制的电力电子变换器能够快速响应电网电压波动，有效抑制谐波，提高功率因数，增强系统的动态性能和平滑输出特性。此外，提出了一种自适应最大功率点跟踪算法，可在不同光照强度和风速条件下使发电系统始终运行在最优工作状态，显著提升了能量捕获效率。该研究创新性地将人工智能算法融入电力电子控制策略中，为可再生能源发电系统的智能化发展提供了新思路，在理论研究和技术应用方面均具有重要意义，不仅有助于推动可再生能源发电技术的进步，也为构建清洁低碳、安全高效的现代能源体系奠定了坚实基础。
关键词：可再生能源发电；电力电子变换器；模型预测控制
Abstract
With the increasing global energy demand and growing emphasis on environmental protection, renewable energy generation has become a crucial approach to addressing energy crises and environmental issues, with power electronics playing an indispensable role. This study aims to investigate the application of power electronics and control strategies in renewable energy generation systems to enhance generation efficiency, stability, and power quality. By analyzing typical renewable energy systems such as wind power and photovoltaic generation, this research employs advanced power electronic converter topologies combined with intelligent control algorithms, achieving efficient energy conversion and precise control of renewable energy generation systems. The results indicate that model predictive control-based power electronic converters can rapidly respond to grid voltage fluctuations, effectively suppress harmonics, improve power factor, and enhance the dynamic performance and smooth output characteristics of the system. Furthermore, an adaptive maximum power point tracking algorithm is proposed, ensuring optimal operation under varying light intensities and wind speeds, thereby significantly improving energy capture efficiency. Innovatively, this study integrates artificial intelligence algorithms into power electronic control strategies, providing new insights for the intelligent development of renewable energy generation systems. This research holds significant implications for both theoretical studies and technical applications, not only promoting advancements in renewable energy generation technology but also laying a solid foundation for constructing a clean, low-carbon, safe, and efficient modern energy system.
Keywords：Renewable Energy Generation; Power Electronic Converter; Model Predictive Control
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 本文研究方法 2
二、电力电子在风力发电中的应用 2
(一) 风力发电系统概述 2
(二) 变流器技术的应用 3
(三) 控制策略分析 4
三、电力电子在光伏发电中的应用 4
(一) 光伏发电系统特性 4
(二) 最大功率点跟踪技术 5
(三) 并网逆变器控制 6
四、多能互补系统的电力电子集成 7
(一) 多能互补系统架构 7
(二) 能量管理与优化 7
(三) 稳定性与可靠性控制 8
结 论 10
参考文献 11
摘要
随着全球能源需求的增长和对环境保护的重视，可再生能源发电成为解决能源危机和环境问题的重要途径，电力电子技术在其中发挥着不可替代的作用。本研究旨在探讨电力电子在可再生能源发电中的应用及控制策略，以提高发电效率、稳定性和电能质量。通过分析风力发电、光伏发电等典型可再生能源发电系统，采用先进的电力电子变换器拓扑结构与智能控制算法相结合的方法，实现了对可再生能源发电系统的高效能量转换与精确控制。研究结果表明，基于模型预测控制的电力电子变换器能够快速响应电网电压波动，有效抑制谐波，提高功率因数，增强系统的动态性能和平滑输出特性。此外，提出了一种自适应最大功率点跟踪算法，可在不同光照强度和风速条件下使发电系统始终运行在最优工作状态，显著提升了能量捕获效率。该研究创新性地将人工智能算法融入电力电子控制策略中，为可再生能源发电系统的智能化发展提供了新思路，在理论研究和技术应用方面均具有重要意义，不仅有助于推动可再生能源发电技术的进步，也为构建清洁低碳、安全高效的现代能源体系奠定了坚实基础。
关键词：可再生能源发电；电力电子变换器；模型预测控制
Abstract
With the increasing global energy demand and growing emphasis on environmental protection, renewable energy generation has become a crucial approach to addressing energy crises and environmental issues, with power electronics playing an indispensable role. This study aims to investigate the application of power electronics and control strategies in renewable energy generation systems to enhance generation efficiency, stability, and power quality. By analyzing typical renewable energy systems such as wind power and photovoltaic generation, this research employs advanced power electronic converter topologies combined with intelligent control algorithms, achieving efficient energy conversion and precise control of renewable energy generation systems. The results indicate that model predictive control-based power electronic converters can rapidly respond to grid voltage fluctuations, effectively suppress harmonics, improve power factor, and enhance the dynamic performance and smooth output characteristics of the system. Furthermore, an adaptive maximum power point tracking algorithm is proposed, ensuring optimal operation under varying light intensities and wind speeds, thereby significantly improving energy capture efficiency. Innovatively, this study integrates artificial intelligence algorithms into power electronic control strategies, providing new insights for the intelligent development of renewable energy generation systems. This research holds significant implications for both theoretical studies and technical applications, not only promoting advancements in renewable energy generation technology but also laying a solid foundation for constructing a clean, low-carbon, safe, and efficient modern energy system.
Keywords：Renewable Energy Generation; Power Electronic Converter; Model Predictive Control
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 本文研究方法 2
二、电力电子在风力发电中的应用 2
(一) 风力发电系统概述 2
(二) 变流器技术的应用 3
(三) 控制策略分析 4
三、电力电子在光伏发电中的应用 4
(一) 光伏发电系统特性 4
(二) 最大功率点跟踪技术 5
(三) 并网逆变器控制 6
四、多能互补系统的电力电子集成 7
(一) 多能互补系统架构 7
(二) 能量管理与优化 7
(三) 稳定性与可靠性控制 8
结 论 10
参考文献 11
