改进形态学滤波在电压暂降检测算法中的应用

doi:10.3969/j.issn.1008-0198.2023.06.012

湖南电力 ›› 2023, Vol. 43 ›› Issue (6): 76-81.doi: 10.3969/j.issn.1008-0198.2023.06.012

改进形态学滤波在电压暂降检测算法中的应用

曾进辉¹, 黄明轩¹, 邹彬¹, 黄茜², 宁志毫³

1.湖南工业大学电气与信息工程学院,湖南株洲 412007;
2.国网湖南省电力有限公司怀化供电分公司,湖南怀化 418000;
3.国网湖南省电力有限公司电力科学研究院,湖南长沙 410208

收稿日期:2023-08-02 修回日期:2023-09-22 出版日期:2023-12-25 发布日期:2024-01-07
作者简介:曾进辉(1981),男,副教授,从事直流配电网、电能变换和电能质量研究工作。
基金资助:
湖南省自然科学基金项目(2021JJ50059)

Application of Improved Morphological Filtering in Voltage Sag Detection Algorithm

ZENG Jinhui¹, HUANG Mingxuan¹, ZOU Bin¹, HUANG Xi², NING Zhihao³

1. School of Electrical and Information Engineening,Hunan University of Technology,Zhuzhou 412007,China;
2. State Grid Huaihua Power Supply Company,Huaihua 418000,China;
3. State Grid Hunan Electric Power Company Limited Research Institute,Changsha 410208,China

Received:2023-08-02 Revised:2023-09-22 Online:2023-12-25 Published:2024-01-07

摘要/Abstract

摘要： 在传统dq变换检测法的基础上,提出一种基于形态学滤波的电压暂降检测算法。该算法改善了普通低通滤波器实时性低和精度不足的问题,同时滤除传统检测方法中坐标变换所产生的二倍频分量从而快速提取出电压暂降特征量。最后,在仿真平台搭建模型以验证算法的实时性和稳定性。

关键词: 电压暂降, 检测算法, dq变换, 形态学滤波

Abstract: On the basis of traditional dq transform detection method, a voltage sag detection algorithm based on morphological filtering is proposed. This algorithm improves the problems of low real-time performance and insufficient accuracy of ordinary low-pass filters, and can also filter out the second harmonic component generated by coordinate transformation in traditional detection methods to quickly extract voltage sag features. Finally, a model is built on a simulation platform to verify the real-time and stability of the algorithm.

Key words: voltage sag, detection algorithm, dq transformation, morphological filtering

中图分类号:

TM712.2

曾进辉, 黄明轩, 邹彬, 黄茜, 宁志毫. 改进形态学滤波在电压暂降检测算法中的应用[J]. 湖南电力, 2023, 43(6): 76-81.

ZENG Jinhui, HUANG Mingxuan, ZOU Bin, HUANG Xi, NING Zhihao. Application of Improved Morphological Filtering in Voltage Sag Detection Algorithm[J]. Hunan Electric Power, 2023, 43(6): 76-81.

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改进形态学滤波在电压暂降检测算法中的应用

Application of Improved Morphological Filtering in Voltage Sag Detection Algorithm

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