High Voltage最新文献_第2页

Effects of Exposure to Radiation and Steam on Silicone Rubber Cables Removed From a Nuclear Power Plant 暴露于辐射和蒸汽对从核电站取出的硅橡胶电缆的影响

IF 4.4 2区工程技术

High Voltage Pub Date : 2025-09-15 DOI: 10.1049/hve2.70096

Yoshimichi Ohki, Naoshi Hirai, Yasuhiro Tanaka

引用次数: 0

Multiterminal High-Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects 多端子高压直流工程：综合评价与未来展望

IF 4.4 2区工程技术

High Voltage Pub Date : 2025-09-15 DOI: 10.1049/hve2.70085

Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi, Vijay K. Sood

{"title":"Multiterminal High-Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects","authors":"Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi, Vijay K. Sood","doi":"10.1049/hve2.70085","DOIUrl":"https://doi.org/10.1049/hve2.70085","url":null,"abstract":"Multiterminal high-voltage direct current (MT-HVDC) systems are an important part of modern power systems, addressing the need for bulk power delivery and efficient renewable energy integration. This paper provides a comprehensive overview of recent advances in MT-HVDC technology, including launched projects and ongoing initiatives. The central focus of this paper is to present a detailed review of launched MT-HVDC projects across the globe, highlighting their scale, application areas and innovative features. Furthermore, this paper provides insight into ongoing research and development efforts to push the boundaries of MT-HVDC technology towards the development of overlay HVDC grids. This paper proceeds by emphasising the importance of continued innovation and collaboration in shaping the future formation of Supergrids to achieve sustainable and interconnected energy grids. Finally, the various challenges associated with MT-HVDC systems are explored. This study should serve as a resource for researchers, engineers and policymakers involved in the energy sector, offering a comprehensive overview of the latest developments and trends in MT-HVDC technology and its impact on the evolving landscape of power transmission grids.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"27 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Electrical–Thermal–Mechanical Ageing on the Partial Discharge Characteristics of Oil–Pressboard Insulation Under AC–DC Voltages 交直流电压下电-热-机械老化对油压板绝缘局部放电特性的影响

IF 4.4 2区工程技术

High Voltage Pub Date : 2025-09-15 DOI: 10.1049/hve2.70055

Jingjing Yang, Kaining Hou, Hongbin Wu, Penghong Guo, Yongwei Xv, Zhiqiang Zhang, Zhaoyang Kang, Ran Zhu, Hongshun Liu, Qingquan Li

{"title":"Effect of Electrical–Thermal–Mechanical Ageing on the Partial Discharge Characteristics of Oil–Pressboard Insulation Under AC–DC Voltages","authors":"Jingjing Yang, Kaining Hou, Hongbin Wu, Penghong Guo, Yongwei Xv, Zhiqiang Zhang, Zhaoyang Kang, Ran Zhu, Hongshun Liu, Qingquan Li","doi":"10.1049/hve2.70055","DOIUrl":"https://doi.org/10.1049/hve2.70055","url":null,"abstract":"Converter transformers are the core components of ultra-high voltage (UHV) transmission systems. The main cause of faults in converter transformers is irreversible deterioration of oil–pressboard insulation under combined electrical–thermal–mechanical stress over long operating times. In this paper, the chemical characteristics of oil–pressboard insulation samples subjected to electrical–thermal–mechanical ageing for different times are studied. An image processing algorithm is used to analyse the discharge propagation characteristics of the samples under combined alternating current (AC)–direct current (DC) voltage, and the current pulse curves and phase resolved partial discharge spectrogram corresponding to the discharge images are analysed. An improved wavelet packet algorithm is used to denoise the discharge current pulse. Finally, the influence of electrical–thermal–mechanical ageing on discharge characteristics is analysed using radar charts. The condition of oil–pressboard insulation is one of the main factors determining the life expectancy of converter transformers. The results obtained here therefore have practical significance for understanding the process of insulation failure caused by accelerated ageing of oil–pressboard insulation.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"38 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The SYNTHIDIA Dataset: Synthetic Insulator Defect Imaging and Annotation SYNTHIDIA数据集：合成绝缘体缺陷成像和注释

IF 4.4 2区工程技术

High Voltage Pub Date : 2025-09-14 DOI: 10.1049/hve2.70091

Qingzhen Liu, Yadong Liu, Yingjie Yan, Qian Jiang, Xiuchen Jiang

{"title":"The SYNTHIDIA Dataset: Synthetic Insulator Defect Imaging and Annotation","authors":"Qingzhen Liu, Yadong Liu, Yingjie Yan, Qian Jiang, Xiuchen Jiang","doi":"10.1049/hve2.70091","DOIUrl":"https://doi.org/10.1049/hve2.70091","url":null,"abstract":"Accurate and timely insulator defect detection is crucial for maintaining the reliability and safety of the power supply. However, the development of deep-learning-based insulator defect detection is hindered by the scarcity of comprehensive, high-quality datasets for insulator defects. To address this gap, the synthetic insulator defect imaging and annotation (SYNTHIDIA) system was proposed. SYNTHIDIA generates synthetic defect images in a 3D virtual environment using domain randomisation, offering a cost-effective and versatile solution for creating diverse and annotated data. Our dataset includes 22,000 images with accurate pixel-level and instance-level annotations, covering broken defect and drop defect types. Through rigorous experiments, SYNTHIDIA demonstrates strong generalisation capabilities to real-world data and provides valuable insights into the impact of various domain factors on model performance. The inclusion of 3D models further supports broader research initiatives. SYNTHIDIA addresses data insufficiency in insulator defect detection and enhances model performance in data-limited scenarios, contributing significantly to the advancement of power inspection.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"3 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nondestructive Measurement of Residual Stress on Epoxy Insulators Using Thermoelastic Method 热弹性法无损测量环氧绝缘子残余应力

IF 4.4 2区工程技术

High Voltage Pub Date : 2025-09-14 DOI: 10.1049/hve2.70090

Hucheng Liang, Bei Chu, Boxue Du

{"title":"Nondestructive Measurement of Residual Stress on Epoxy Insulators Using Thermoelastic Method","authors":"Hucheng Liang, Bei Chu, Boxue Du","doi":"10.1049/hve2.70090","DOIUrl":"https://doi.org/10.1049/hve2.70090","url":null,"abstract":"Residual stress is inevitable in epoxy insulators, which easily leads to small cracks and even insulation breakdown during the operation of gas-insulated transmission line (GIL)/gas-insulated switchgear (GIS). This study proposes a nondestructive method to measure the residual stress on epoxy insulators using thermoelastic effects. First, the laser-induced temperature rise of the epoxy/Al2O3 composite was measured under different mechanical stresses to establish a relationship between the relative temperature rise and mechanical stress. Then, the residual stress distributions on full-sized insulators were reconstructed based on the stress–temperature relationship by scanning and measuring the relative temperature rise values at distributed points. The results show that the temperature rise of the epoxy/Al2O3 composite is promoted by tensile stress but inhibited by compressive stress, reflecting the impacts of mechanical stress on the thermal properties of epoxy insulators. Compressive stress is present on the outer side, whereas tensile stress is concentrated on the inner side of both basin-type and tri-post insulators, with maximum values around 30 MPa. During curing, a higher temperature on the outer side of the mould leads to a faster curing rate of the insulator than on the inner side. This, combined with the mismatch of thermal expansion coefficients between epoxy and aluminium, contributes to the generation of residual stress. The measurement results of residual stress are consistent with the theoretical analysis results, verifying the effectiveness of the proposed method and offering new insights into the measurement of residual stress.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"76 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of advanced acoustic-chemical-optical partial discharge monitoring techniques for ultra-high-voltage gas-insulated equipment 超高压气体绝缘设备声-化学-光局部放电监测技术综述

IF 4.9 2区工程技术

High Voltage Pub Date : 2025-08-29 DOI: 10.1049/hve2.70086

Xianhao Fan, Weiqi Qin, Rui Qiu, Yiming Zang, Wu Lu, Yin Zhang, Ruiying Chen, Fangwei Liang, Guangyu Sun, Hanhua Luo, Tiejun Ma, Chuanyang Li, Jun Hu, Weidong Liu, Giovanni Mazzanti, Jinliang He

{"title":"A review of advanced acoustic-chemical-optical partial discharge monitoring techniques for ultra-high-voltage gas-insulated equipment","authors":"Xianhao Fan, Weiqi Qin, Rui Qiu, Yiming Zang, Wu Lu, Yin Zhang, Ruiying Chen, Fangwei Liang, Guangyu Sun, Hanhua Luo, Tiejun Ma, Chuanyang Li, Jun Hu, Weidong Liu, Giovanni Mazzanti, Jinliang He","doi":"10.1049/hve2.70086","DOIUrl":"10.1049/hve2.70086","url":null,"abstract":"Partial discharge (PD) detection is considered one of the most crucial and effective methods for identifying defects in electrical equipment. Consequently, investigating advanced and efficient PD monitoring techniques is essential for the development of gas-insulated equipment (GIE) and the construction of ultra-high-voltage (UHV) networks. This paper first explores the causes and impact characteristics of various defects in GIE based on experimental results and simulation analysis. It then reviews current research on advanced PD measurement techniques, integrating acoustic, chemical and optical methods. The findings preliminarily demonstrate the unique advantages and applicability of the advanced methods for complex detection environments. Finally, this paper addresses the technical challenges and potential breakthroughs associated with these detection techniques. In this regard, this study aims to provide technical insights and research directions for defect detection techniques in UHV GIE.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"10 4","pages":"787-806"},"PeriodicalIF":4.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temperature normalisation and moisture assessment of oil-paper insulation based on dielectric response in extremely cold conditions 基于极冷条件下介电响应的油纸绝缘温度正态化和水分评估

IF 4.9 2区工程技术

High Voltage Pub Date : 2025-08-29 DOI: 10.1049/hve2.70083

Wenrui Tian, Daning Zhang, Huanmin Yao, Haisong Xu, Pengjiang Xu, Dingqian Yang, Guanjun Zhang

{"title":"Temperature normalisation and moisture assessment of oil-paper insulation based on dielectric response in extremely cold conditions","authors":"Wenrui Tian, Daning Zhang, Huanmin Yao, Haisong Xu, Pengjiang Xu, Dingqian Yang, Guanjun Zhang","doi":"10.1049/hve2.70083","DOIUrl":"10.1049/hve2.70083","url":null,"abstract":"Frequency domain spectroscopy (FDS) is widely used for assessing the condition of oil-paper insulated electrical equipment. However, in low temperatures, measurement results often deviate from expected values. This study investigates the low-temperature dielectric response characteristics of oil-paper insulation under large temperature differences (−60°C to 30°C), wide frequency ranges (1 mHz–5 kHz) and varying moisture contents (0.41%–3.91%). The mechanisms of low-temperature effects on oil-paper insulation relaxation polarisation are revealed. Further, a novel low-temperature normalisation method and a moisture evaluation method are proposed based on the improved Havriliak–Negami model. Compared to traditional methods, the new approach significantly enhances the accuracy. The goodness of fit R2 for temperature normalisation improves from 0.9526 to 0.9757, and the error in moisture content evaluation has reached 0.498%. Finally, the novel approach is applied to diagnose the condition of a damped bushing model, demonstrating high potential for practical applications. This study enables condition diagnosis of oil-impregnated electrical equipment in extremely cold environments, filling a critical gap in the field.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"10 4","pages":"903-916"},"PeriodicalIF":4.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanical vibration state and its defect severity development trend prediction for gas-insulated switchgear equipment: Attention-bidirectional gated recurrent unit model construction and experimental verification 气体绝缘开关柜设备机械振动状态及其缺陷严重程度发展趋势预测：注意——双向门控循环单元模型构建与实验验证

IF 4.9 2区工程技术

High Voltage Pub Date : 2025-08-20 DOI: 10.1049/hve2.70077

Xu Li, Jian Hao, Ruijin Liao, Yao Zhong, Ying Feng, Ruilei Gong

{"title":"Mechanical vibration state and its defect severity development trend prediction for gas-insulated switchgear equipment: Attention-bidirectional gated recurrent unit model construction and experimental verification","authors":"Xu Li, Jian Hao, Ruijin Liao, Yao Zhong, Ying Feng, Ruilei Gong","doi":"10.1049/hve2.70077","DOIUrl":"10.1049/hve2.70077","url":null,"abstract":"Mechanical vibration defect is the key factor leading to sudden failure of gas-insulated switchgear (GIS) equipment. It is important to realise effective prediction of the mechanical vibration state development trend of GIS equipment in order to improve its active safety protection level. This paper carried out research on the accurate prediction method and experimental validation of the mechanical vibration state and its defect severity development trend for the GIS equipment. Firstly, the deep and shallow vibration feature parameters for different mechanical defect signals were jointly extracted by time-domain features and deep belief network methods. Secondly, a new prediction model, incorporating the attention mechanism and the bidirectional gated recurrent unit (BiGRU), was constructed with the deep and shallow vibration feature parameters as inputs. Finally, the prediction trend effectiveness was verified based on the real-type GIS mechanical simulation platform and the field operation GIS equipment. Results show that the deep and shallow vibration feature extraction method proposed in this paper can characterise the mechanical defect information more comprehensively. The new prediction method of the vibration state trend based on the attention-BiGRU model shows ideal accuracy, and the predicted vibration state development trend is highly consistent with the actual, with an average absolute error of 0.063. The root mean square error (ERMSE) value of the prediction method is <5%, which reduces the relative error value at least 37% compared with the traditional prediction models. This paper provides a valuable reference for the proactive defence of GIS mechanical failure.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"10 4","pages":"831-844"},"PeriodicalIF":4.9,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Curing kinetics and residual stress modelling of gas-insulated transmission lines tri-post insulators 气体绝缘输电线路三柱绝缘子的固化动力学和残余应力模型

IF 4.9 2区工程技术

High Voltage Pub Date : 2025-08-18 DOI: 10.1049/hve2.70070

Yuhuai Wang, Songtao Liu, Jin Li, Hucheng Liang, Meng Xiao, Yun Chen, Boxue Du

{"title":"Curing kinetics and residual stress modelling of gas-insulated transmission lines tri-post insulators","authors":"Yuhuai Wang, Songtao Liu, Jin Li, Hucheng Liang, Meng Xiao, Yun Chen, Boxue Du","doi":"10.1049/hve2.70070","DOIUrl":"10.1049/hve2.70070","url":null,"abstract":"The tri-post insulator is a core component within the gas-insulated transmission lines (GIL), providing both electrical insulation and mechanical support. Typically, it is high-temperature cured through vacuum casting of a mixture of epoxy resin, curing agent, and alumina fillers. In recent years, frequent incidents of mechanical cracking and breakdown of tri-post insulators have been reported, which are attributed to residual stress concentration. However, the formation mechanism and distribution characteristics of the residual stress remain unclear. This study focuses on the curing kinetics and residual stress modelling of GIL tri-post insulators. It is verified that the epoxy resin/alumina reaction system follows the autocatalytic curing kinetic model by differential scanning calorimetry tests, and the model fitted by Malek's method corresponds well with the experimental results. Based on the Cure Hardening Instantaneously Linear Elastic model and the density inhomogeneity, it is found that a tensile stress concentration with a maximum value of 58.9 MPa at the edge of the insulator/sleeve interface, due to the mismatch of chemical and thermal shrinkage effects. Besides, the filler sedimentation can decrease the coefficient of thermal expansion and suppress the residual stress concentration. The investigation would help with the visualisation of the residual stress distribution in GIL tri-post insulators and provide some guidance for their processing treatments.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"10 4","pages":"976-986"},"PeriodicalIF":4.9,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gas-insulated switchgear partial discharge classification method based on deep transfer learning using experimental and field data 基于实验和现场数据的深度迁移学习气体绝缘开关设备局部放电分类方法

IF 4.9 2区工程技术

High Voltage Pub Date : 2025-08-18 DOI: 10.1049/hve2.70088

Xutao Han, Haotian Wang, Jie Cui, Yang Zhou, Tianyi Shi, Xuanrui Zhang, Junhao Li

{"title":"Gas-insulated switchgear partial discharge classification method based on deep transfer learning using experimental and field data","authors":"Xutao Han, Haotian Wang, Jie Cui, Yang Zhou, Tianyi Shi, Xuanrui Zhang, Junhao Li","doi":"10.1049/hve2.70088","DOIUrl":"10.1049/hve2.70088","url":null,"abstract":"Gas-insulated switchgear (GIS) plays a critical role in ensuring the reliability of power systems, but partial discharge (PD) is a primary cause of failures within GIS equipment. Traditional PD diagnostic methods rely heavily on laboratory data, which differ significantly from that under the complex conditions of field data, leading to a marked drop in recognition accuracy when they are applied to field PD diagnosis. This study addresses the challenge by integrating field data into the training process, utilising a deep transfer learning approach that combines laboratory and field data to improve diagnostic accuracy for GIS PD. The research collected PD data from laboratory models representing five defect types and field data gathered from operational GIS equipment. A deep residual network (ResNet50) was pretrained using laboratory data and fine-tuned with field data through deep transfer learning to optimise the recognition of PD in field conditions. The results show that the proposed model achieves a significantly higher recognition accuracy (93.7%) for field data compared to traditional methods (60%–70%). The integration of deep transfer learning ensures that both low-dimensional general features from laboratory data and high-dimensional specific features from field data are effectively utilised. This research significantly contributes to improving the diagnostic accuracy of PD in GIS under field conditions, providing a robust method for defect detection in operational equipment.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"10 4","pages":"845-855"},"PeriodicalIF":4.9,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0