| 改进型卡尔曼滤波法的风电场谐波电流检测及仿真分析 |
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| 引用本文：刘华1，张平1，刘周斌2，孙维真3.改进型卡尔曼滤波法的风电场谐波电流检测及仿真分析[J].计算技术与自动化,2025,(1):131-135 |
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| 中文摘要:针对风电场谐波检测成本高、速度慢等问题，设计了一种基于改进型卡尔曼滤波的风电场谐波电流检测方法并进行了仿真实验与分析。先对风电场电网产生谐波的原因及谐波存在的特征进行了初步分析，然后利用αβ变换对输入的电流信号进行处理，将离散对称三相电流信号转换成为两个垂直的电流分量，最后结合SOGIQ结构和自适应估计对卡尔曼滤波进行改进，提高了系统的检测精度、响应速度和抗干扰能力，实现了对风电场谐波电流的识别与检测，该方案检测成本低，计算难度低，适合广泛应用。经过实验，本研究所设计的方案对风电场谐波电流的检测谐波畸变率低于3%。 |
| 中文关键词:卡尔曼滤波 自适应估计 αβ变换 谐波电流检测 SOGIQ结构 |
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| Harmonic Current Detection and Simulation Analysis in Wind Farm Based on Improved Kalman Filter Method |
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| Abstract:In response to the high cost and slow speed of harmonic detection in wind farms, this study designed a wind farm harmonic current detection method based on improved Kalman filtering and conducted simulation experiments and analysis. This article first conducts a preliminary analysis of the causes and characteristics of harmonics generated in the wind farm power grid. The input current signal is processed using αβ transformation, and the discrete symmetric three-phase current signal is converted into two vertical current components. Finally, combined with SOGIQ structure and adaptive estimation, the Kalman filter is improved to improve the detection accuracy, response speed, and anti-interference ability of the system,the recognition and detection of harmonic currents in wind farms have been achieved. This scheme has low detection cost, low computational difficulty, and is suitable for widespread application. After experiments, the scheme designed by this research institute has a harmonic distortion rate of less than 3% for detecting harmonic currents in wind farms. |
| keywords:Kalman filtering adaptive estimation αβ transformation harmonic current detection SOGIQ structure |
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