Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques

With the rapid development of high-voltage direct current (HVdc) transmission technology, the demand for monitoring the DC total electric field at ground level has increased significantly. The methods of the traditional electric field measurement are susceptible to noise interference, which affect t...

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Main Authors: Yuehua Huang, Yun Lu, Zhuo Chen, Ziyang Yu, Zhengyu Xiang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10979309/
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author Yuehua Huang
Yun Lu
Zhuo Chen
Ziyang Yu
Zhengyu Xiang
author_facet Yuehua Huang
Yun Lu
Zhuo Chen
Ziyang Yu
Zhengyu Xiang
author_sort Yuehua Huang
collection DOAJ
description With the rapid development of high-voltage direct current (HVdc) transmission technology, the demand for monitoring the DC total electric field at ground level has increased significantly. The methods of the traditional electric field measurement are susceptible to noise interference, which affect the accuracy of measurement. This paper investigates the sources of noise interference in electric field measurements and proposes a signal processing method based on amplifier parallel optimisation of the signal conditioning circuit and Morlet wavelet decomposition. By improving the signal-to-noise ratio during the measurement of the device, the anti-interference capability and measurement accuracy of the field mill sensor are significantly enhanced. The experimental results show that the proposed signal processing methods of amplifier parallel optimisation signal conditioning circuit and Morlet wavelet decomposition can effectively eliminate the interfering signals during the measurement process, improve the signal-to-noise ratio of the measurement circuit, and retain the details and response speed of the signals, which improves the accuracy of the measurement of the ground electric field of the ultra-high-voltage direct current transmission.
format Article
id doaj-art-e5738cc179344983bdaf491679bf1efa
institution DOAJ
issn 2169-3536
language English
publishDate 2025-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj-art-e5738cc179344983bdaf491679bf1efa2025-08-20T03:11:26ZengIEEEIEEE Access2169-35362025-01-0113766207662610.1109/ACCESS.2025.356500110979309Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition TechniquesYuehua Huang0Yun Lu1https://orcid.org/0000-0002-9747-2543Zhuo Chen2Ziyang Yu3Zhengyu Xiang4College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaDongguan Power Supply Bureau of Guangdong Power Grid Company Ltd., Dongguan, ChinaWith the rapid development of high-voltage direct current (HVdc) transmission technology, the demand for monitoring the DC total electric field at ground level has increased significantly. The methods of the traditional electric field measurement are susceptible to noise interference, which affect the accuracy of measurement. This paper investigates the sources of noise interference in electric field measurements and proposes a signal processing method based on amplifier parallel optimisation of the signal conditioning circuit and Morlet wavelet decomposition. By improving the signal-to-noise ratio during the measurement of the device, the anti-interference capability and measurement accuracy of the field mill sensor are significantly enhanced. The experimental results show that the proposed signal processing methods of amplifier parallel optimisation signal conditioning circuit and Morlet wavelet decomposition can effectively eliminate the interfering signals during the measurement process, improve the signal-to-noise ratio of the measurement circuit, and retain the details and response speed of the signals, which improves the accuracy of the measurement of the ground electric field of the ultra-high-voltage direct current transmission.https://ieeexplore.ieee.org/document/10979309/Field mill sensorhigh-voltage direct current (HVdc)noise interferenceMorlet wavelet decompositionamplifier parallel optimization
spellingShingle Yuehua Huang
Yun Lu
Zhuo Chen
Ziyang Yu
Zhengyu Xiang
Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques
IEEE Access
Field mill sensor
high-voltage direct current (HVdc)
noise interference
Morlet wavelet decomposition
amplifier parallel optimization
title Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques
title_full Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques
title_fullStr Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques
title_full_unstemmed Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques
title_short Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques
title_sort design and optimization of field mill sensors for accurate measurement of hvdc ground electric fields based on amplifier parallel optimization and wavelet decomposition techniques
topic Field mill sensor
high-voltage direct current (HVdc)
noise interference
Morlet wavelet decomposition
amplifier parallel optimization
url https://ieeexplore.ieee.org/document/10979309/
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AT yunlu designandoptimizationoffieldmillsensorsforaccuratemeasurementofhvdcgroundelectricfieldsbasedonamplifierparalleloptimizationandwaveletdecompositiontechniques
AT zhuochen designandoptimizationoffieldmillsensorsforaccuratemeasurementofhvdcgroundelectricfieldsbasedonamplifierparalleloptimizationandwaveletdecompositiontechniques
AT ziyangyu designandoptimizationoffieldmillsensorsforaccuratemeasurementofhvdcgroundelectricfieldsbasedonamplifierparalleloptimizationandwaveletdecompositiontechniques
AT zhengyuxiang designandoptimizationoffieldmillsensorsforaccuratemeasurementofhvdcgroundelectricfieldsbasedonamplifierparalleloptimizationandwaveletdecompositiontechniques