Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration

To address the impact of insulation medium degradation in the arc quenching chambers of ultra-high-voltage SF<sub>6</sub> circuit breakers on phase-controlled switching accuracy caused by multiple operations throughout the service life, this paper proposes an adaptive switching algorithm...

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Main Authors: Hao Li, Qi Long, Xu Yang, Xiang Ju, Haitao Li, Zhongming Liu, Dehua Xiong, Xiongying Duan, Minfu Liao
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/18/13/3558
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author Hao Li
Qi Long
Xu Yang
Xiang Ju
Haitao Li
Zhongming Liu
Dehua Xiong
Xiongying Duan
Minfu Liao
author_facet Hao Li
Qi Long
Xu Yang
Xiang Ju
Haitao Li
Zhongming Liu
Dehua Xiong
Xiongying Duan
Minfu Liao
author_sort Hao Li
collection DOAJ
description To address the impact of insulation medium degradation in the arc quenching chambers of ultra-high-voltage SF<sub>6</sub> circuit breakers on phase-controlled switching accuracy caused by multiple operations throughout the service life, this paper proposes an adaptive switching algorithm. First, a modified formula for the breakdown voltage of mixed gases is derived based on the synergistic effect. Considering the influence of contact gap on electric field distortion, an adaptive switching strategy is designed to quantify the dynamic relationship among operation times, insulation strength degradation, and electric field distortion. Then, multi-round switching-on and switching-off tests are carried out under the condition of fixed single-arc ablation amount, and the laws of voltage–current, gas decomposition products, and pre-breakdown time are obtained. The test data are processed by the least squares method, adaptive switching algorithm, and machine learning method. The results show that the coincidence degree of the pre-breakdown time obtained by the adaptive switching algorithm and the test value reaches 90%. Compared with the least squares fitting, this algorithm achieves a reasonable balance between goodness of fit and complexity, with prediction deviations tending to be randomly distributed, no obvious systematic offset, and low dispersion degree. It can also explain the physical mechanism of the decay of insulation degradation rate with the number of operations. Compared with the machine learning method, this algorithm has stronger generalization ability, effectively overcoming the defects of difficult interpretation of physical causes and the poor engineering adaptability of the black box model.
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spelling doaj-art-8818cdda02864eeea7de46b17a49e9da2025-07-11T14:39:25ZengMDPI AGEnergies1996-10732025-07-011813355810.3390/en18133558Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration ConsiderationHao Li0Qi Long1Xu Yang2Xiang Ju3Haitao Li4Zhongming Liu5Dehua Xiong6Xiongying Duan7Minfu Liao8EHV Power Transmission Company China Southern Power Grid, Kunming 650214, ChinaEHV Power Transmission Company China Southern Power Grid, Kunming 650214, ChinaEHV Power Transmission Company China Southern Power Grid, Kunming 650214, ChinaEHV Power Transmission Company China Southern Power Grid, Kunming 650214, ChinaNR Electric Co., Ltd., Nanjing 211102, ChinaNR Electric Co., Ltd., Nanjing 211102, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaTo address the impact of insulation medium degradation in the arc quenching chambers of ultra-high-voltage SF<sub>6</sub> circuit breakers on phase-controlled switching accuracy caused by multiple operations throughout the service life, this paper proposes an adaptive switching algorithm. First, a modified formula for the breakdown voltage of mixed gases is derived based on the synergistic effect. Considering the influence of contact gap on electric field distortion, an adaptive switching strategy is designed to quantify the dynamic relationship among operation times, insulation strength degradation, and electric field distortion. Then, multi-round switching-on and switching-off tests are carried out under the condition of fixed single-arc ablation amount, and the laws of voltage–current, gas decomposition products, and pre-breakdown time are obtained. The test data are processed by the least squares method, adaptive switching algorithm, and machine learning method. The results show that the coincidence degree of the pre-breakdown time obtained by the adaptive switching algorithm and the test value reaches 90%. Compared with the least squares fitting, this algorithm achieves a reasonable balance between goodness of fit and complexity, with prediction deviations tending to be randomly distributed, no obvious systematic offset, and low dispersion degree. It can also explain the physical mechanism of the decay of insulation degradation rate with the number of operations. Compared with the machine learning method, this algorithm has stronger generalization ability, effectively overcoming the defects of difficult interpretation of physical causes and the poor engineering adaptability of the black box model.https://www.mdpi.com/1996-1073/18/13/3558insulation degradation productsynergistic effectmixed gasphase-controlled closingpre-breakdown
spellingShingle Hao Li
Qi Long
Xu Yang
Xiang Ju
Haitao Li
Zhongming Liu
Dehua Xiong
Xiongying Duan
Minfu Liao
Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
Energies
insulation degradation product
synergistic effect
mixed gas
phase-controlled closing
pre-breakdown
title Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
title_full Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
title_fullStr Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
title_full_unstemmed Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
title_short Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
title_sort phase controlled closing strategy for uhv circuit breakers with arc chamber insulation deterioration consideration
topic insulation degradation product
synergistic effect
mixed gas
phase-controlled closing
pre-breakdown
url https://www.mdpi.com/1996-1073/18/13/3558
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