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随著科学技术的快速发展和工业规模的日益扩大,许多以微处理器和计算机为核心的先进设备对供电质量和供电可靠性提出了比较高的要求。另外,一些特殊行业对电网中的谐波、过电压、短时断电、电压骤升、电压骤降等干扰十分敏感。为了解决这类供电质量问题,首先需要检测出电压扰动中的基波和各次谐波电压的信息。为克服以前针对这一问题提出的各种算法在实时性和准确性方面的不足,介绍了一种基于数学形态滤波器结合“特定谐波消除算法”的混合滤波算法,来消除动态电压扰动波形中的噪声、高频分量和低频分量,从而提取出所需的基波分量。在此基础之上,通过对传统dq变换阵进行改进,提出了可以提取任意次谐波分量的检测滤波算法,并通过仿真波形验证了算法的实用性。该算法的提出,为电力系统谐波分析、检测和治理提供了一种新的思路。
With the rapid development of science and technology and the continuous expansion of industrial scale, many advanced equipments with microprocessors and computers as the core have put forward relatively high requirements on power supply quality and power supply reliability. In addition, some special industries are very sensitive to disturbances such as harmonics, over-voltage, short-time power interruption, voltage surge and voltage sag in the power grid. In order to solve such power quality problems, we first need to detect the fundamental voltage and voltage harmonics in the voltage disturbance information. To overcome the shortcomings of various algorithms proposed in this paper, this paper introduced a hybrid filter algorithm based on mathematical morphology filter combined with “specific harmonic elimination algorithm” to eliminate the dynamic voltage Disturbing the noise, high-frequency components and low-frequency components in the waveform to extract the required fundamental components. On this basis, by improving the traditional dq transform matrix, we propose a detection and filtering algorithm that can extract arbitrary subharmonic components, and verify the practicability of the algorithm through simulation waveforms. The proposed algorithm provides a new idea for power system harmonic analysis, detection and control.