摘要
随着可再生能源的快速发展，光伏并网发电系统在电力系统中的占比逐渐增加，然而其接入电网时产生的谐波污染和无功功率问题严重影响了电能质量。为解决上述问题，本文针对光伏并网发电系统的谐波抑制与无功补偿技术展开研究。以提高电能质量、确保电网稳定运行为目的，提出一种基于自适应滤波算法与动态无功补偿策略相结合的方法。该方法通过实时监测并网点电压电流信号，利用自适应滤波算法准确提取谐波分量并进行抑制，同时根据负载变化情况动态调整无功补偿容量。实验结果表明，所提方法能够有效降低谐波畸变率至5%以下，将功率因数提升至0.98以上，显著改善了电能质量。此外，创新性地引入深度学习优化自适应滤波参数，提高了谐波检测精度与响应速度，实现了对复杂工况下谐波的有效治理。本研究不仅为光伏并网发电系统的谐波抑制与无功补偿提供了新的思路和技术手段，还为促进可再生能源高效利用及智能电网建设奠定了理论基础。
关键词：光伏并网发电；谐波抑制；无功补偿
Abstract
With the rapid development of renewable energy, the proportion of photovoltaic (PV) grid-connected power generation systems in power systems has been increasing. However, the harmonic pollution and reactive power issues caused by their integration into the grid have severely affected power quality. To address these problems, this study focuses on harmonic suppression and reactive power compensation technologies for PV grid-connected power generation systems. Aiming to improve power quality and ensure stable grid operation, a method combining adaptive filtering algorithms with dynamic reactive power compensation strategies is proposed. This method involves real-time monitoring of voltage and current signals at the point of common coupling, using adaptive filtering algorithms to accurately extract and suppress harmonic components while dynamically adjusting the reactive power compensation capacity based on load variations. Experimental results demonstrate that the proposed method can effectively reduce the total harmonic distortion rate to below 5% and increase the power factor to above 0.98, significantly enhancing power quality. Furthermore, this study innovatively incorporates deep learning to optimize the parameters of the adaptive filtering algorithm, improving harmonic detection accuracy and response speed, thereby achieving effective harmonic management under complex operating conditions. This research not only provides new ideas and technical means for harmonic suppression and reactive power compensation in PV grid-connected power generation systems but also lays a theoretical foundation for promoting the efficient utilization of renewable energy and the construction of smart grids.
Keywords：Photovoltaic Grid-connected Power Generation; Harmonic Suppression; Reactive Power Compensation
目 录
摘要 I
Abstract II
一、绪论 1
(一) 光伏并网发电系统的研究背景与意义 1
(二) 国内外研究现状综述 1
(三) 本文研究方法与技术路线 2
二、谐波抑制技术分析 2
(一) 谐波产生的机理与特性 2
(二) 主动谐波抑制方法研究 3
(三) 被动谐波抑制策略探讨 3
(四) 谐波抑制效果评估指标 4
三、无功补偿技术研究 4
(一) 无功功率对系统的影响 5
(二) 静止无功补偿器原理 5
(三) 动态无功补偿技术应用 6
(四) 无功补偿优化配置方案 6
四、综合控制策略设计 7
(一) 控制目标与约束条件 7
(二) 协同控制算法研究 8
(三) 系统稳定性分析 8
(四) 实验验证与结果分析 9
结 论 11
参考文献 12
随着可再生能源的快速发展，光伏并网发电系统在电力系统中的占比逐渐增加，然而其接入电网时产生的谐波污染和无功功率问题严重影响了电能质量。为解决上述问题，本文针对光伏并网发电系统的谐波抑制与无功补偿技术展开研究。以提高电能质量、确保电网稳定运行为目的，提出一种基于自适应滤波算法与动态无功补偿策略相结合的方法。该方法通过实时监测并网点电压电流信号，利用自适应滤波算法准确提取谐波分量并进行抑制，同时根据负载变化情况动态调整无功补偿容量。实验结果表明，所提方法能够有效降低谐波畸变率至5%以下，将功率因数提升至0.98以上，显著改善了电能质量。此外，创新性地引入深度学习优化自适应滤波参数，提高了谐波检测精度与响应速度，实现了对复杂工况下谐波的有效治理。本研究不仅为光伏并网发电系统的谐波抑制与无功补偿提供了新的思路和技术手段，还为促进可再生能源高效利用及智能电网建设奠定了理论基础。
关键词：光伏并网发电；谐波抑制；无功补偿
Abstract
With the rapid development of renewable energy, the proportion of photovoltaic (PV) grid-connected power generation systems in power systems has been increasing. However, the harmonic pollution and reactive power issues caused by their integration into the grid have severely affected power quality. To address these problems, this study focuses on harmonic suppression and reactive power compensation technologies for PV grid-connected power generation systems. Aiming to improve power quality and ensure stable grid operation, a method combining adaptive filtering algorithms with dynamic reactive power compensation strategies is proposed. This method involves real-time monitoring of voltage and current signals at the point of common coupling, using adaptive filtering algorithms to accurately extract and suppress harmonic components while dynamically adjusting the reactive power compensation capacity based on load variations. Experimental results demonstrate that the proposed method can effectively reduce the total harmonic distortion rate to below 5% and increase the power factor to above 0.98, significantly enhancing power quality. Furthermore, this study innovatively incorporates deep learning to optimize the parameters of the adaptive filtering algorithm, improving harmonic detection accuracy and response speed, thereby achieving effective harmonic management under complex operating conditions. This research not only provides new ideas and technical means for harmonic suppression and reactive power compensation in PV grid-connected power generation systems but also lays a theoretical foundation for promoting the efficient utilization of renewable energy and the construction of smart grids.
Keywords：Photovoltaic Grid-connected Power Generation; Harmonic Suppression; Reactive Power Compensation
目 录
摘要 I
Abstract II
一、绪论 1
(一) 光伏并网发电系统的研究背景与意义 1
(二) 国内外研究现状综述 1
(三) 本文研究方法与技术路线 2
二、谐波抑制技术分析 2
(一) 谐波产生的机理与特性 2
(二) 主动谐波抑制方法研究 3
(三) 被动谐波抑制策略探讨 3
(四) 谐波抑制效果评估指标 4
三、无功补偿技术研究 4
(一) 无功功率对系统的影响 5
(二) 静止无功补偿器原理 5
(三) 动态无功补偿技术应用 6
(四) 无功补偿优化配置方案 6
四、综合控制策略设计 7
(一) 控制目标与约束条件 7
(二) 协同控制算法研究 8
(三) 系统稳定性分析 8
(四) 实验验证与结果分析 9
结 论 11
参考文献 12
