Application of Improved Morphological Filtering in Voltage Sag Detection Algorithm

doi:10.3969/j.issn.1008-0198.2023.06.012

Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (6): 76-81.doi: 10.3969/j.issn.1008-0198.2023.06.012

• New technology and Application • Previous Articles Next Articles

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

Abstract

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

CLC Number:

TM712.2

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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Application of Improved Morphological Filtering in Voltage Sag Detection Algorithm

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