High Voltage最新文献

{"title":"Live‐Line Work on High‐Voltage Transmission Overhead Lines: From FRP Flashover to Air‐Gap Breakdown Physics and Emerging Technologies","authors":"Mona Ghassemi,Masoud Farzaneh","doi":"10.1049/hve2.70244","DOIUrl":"https://doi.org/10.1049/hve2.70244","url":null,"abstract":"ABSTRACT This paper presents a comprehensive review of live‐line work on high‐voltage transmission overhead lines, with a focus on insulation performance, air‐gap breakdown and discharge physics under realistic operating conditions. This review primarily covers journal publications from approximately 2014 to 2026, with emphasis on recent developments in the field. Despite the critical importance of live‐line maintenance for power system reliability, the number of peer‐reviewed journal studies remains relatively limited, and this work aims to consolidate the majority of available contributions within this period. Key topics include flashover mechanisms of fibreglass‐reinforced polymer hot sticks under cold and freezing conditions, physics‐based modelling of long air‐gap breakdown under switching‐impulse voltages and the influence of tower geometry, worker configuration and hybrid AC/DC systems on insulation performance. In addition, multi‐worker interaction, floating‐conductor effects, potential transfer mechanisms and high‐altitude conditions are examined. Fundamental discharge processes, including streamer inception, streamer‐to‐leader transition and leader propagation, are reviewed to establish a unified physical framework. Collectively, the reviewed studies demonstrate that live‐line insulation performance is governed by coupled electrostatic, thermal, environmental and geometric effects. This review provides a consolidated reference for the field, identifies the need for integrated multiphysics modelling approaches to improve safety criteria, standards development and minimum approach distance determination, and discusses emerging developments in helicopter‐assisted maintenance, advanced access techniques, monitoring and diagnostic technologies, artificial intelligence‐assisted tools and digital approaches that may contribute to safer and more efficient live‐line maintenance in future power systems.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"83 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150922","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}

{"title":"Large‐Scale Applications of Plasma Technologies: Progresses and Challenges","authors":"Pankaj Attri,Liuyang Bai,Dmitry Batomunkuev,Xueke Che,Guoxing Chen,Zhitong Chen,Wei Cui,Liguang Dou,Zhi Fang,Yangyang Fu,Fausto Gallucci,Yiming Guo,Bangdou Huang,Yinghong Li,Sirui Li,Hua Liang,Liangliang Lin,Dingxin Liu,Xiangyang Liu,Xinpei Lu,Ruonan Ma,Lanlan Nie,Guanghui Niu,Yuge Ouyang,Tao Shao,Jing Sun,Yong Tang,Xin Tu,Sergey P. Vashchenko,Hang Wang,Xianjie Wang,Anke Weidenkaff,Yun Wu,Haohan Xie,Shaojun Xu,Zongxian Yang,Fangli Yuan,Cheng Zhang,Hao Zhang,Jishen Zhang,Shuai Zhang,Yejian Zhang,Zhe Zhang,Zhibo Zhang,Peng Zhao,Shicheng Zhao,Linlin Zhong,Renwu Zhou,Zhenhua Zhou,Xi Zhu,Yifei Zhu,Haohua Zong","doi":"10.1049/hve2.70241","DOIUrl":"https://doi.org/10.1049/hve2.70241","url":null,"abstract":"ABSTRACT Plasma technologies convert electrical power into energetic electrons, ions, reactive species, radiation and heat, thereby breaking through the bottleneck of purely thermal or chemical routes and bringing impressive changes to our world. This roadmap reviews the progress and challenges of plasma technologies from a large‐scale and application‐driven perspective. It covers plasma–material interaction (i.e., surface modification, material preparation and semiconductor processing), aerospace applications (i.e., plasma propulsion, plasma‐assisted aerodynamics, plasma‐assisted ignition and combustion), applications in the energy field (i.e., industrial arc discharge, plasma catalysis for decarbonisation including CO 2 conversion, nitrogen fixation and hydrogen‐related processes, and plasma‐enabled resource recovery) and applications related to human health (i.e., biomedicine, plasma disinfection/sterilisation, agriculture and food). We also present a unified cross‐comparison of mainstream plasma sources and practical selection guidelines. Beyond reviewing these advances, this roadmap argues that the large‐scale deployment of plasma technologies will be governed by four constraints: controllability of plasma parameters and discharge modes during scale‐up, system‐level energy efficiency from grid to outcome, long‐term reliability and maintainability in realistic environments, and outcome‐relevant diagnostics and harmonised benchmarking. The authors hope this roadmap will enrich the track record and enable cutting‐edge advances in plasma technologies over the next 5–10 years.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"1 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149091413","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}

{"title":"Research Progress in Treeing Phenomena of Polypropylene Insulation Materials","authors":"Boxue Du,Heyu Wang,Zhonglei Li","doi":"10.1049/hve2.70230","DOIUrl":"https://doi.org/10.1049/hve2.70230","url":null,"abstract":"ABSTRACT Polypropylene (PP) is increasingly utilised in high‐voltage systems due to its superior electrical and thermal properties. However, electrical treeing poses a significant threat to its long‐term reliability, potentially leading to insulation failure. This review examines the mechanisms of electrical treeing initiation and propagation in PP insulation under various voltage conditions, including AC, DC and superimposed voltages, with particular emphasis on the coupled effects of electrical, thermal and mechanical fields. Repetitive partial discharge serves as the fundamental driving force behind electrical tree initiation and accelerated growth. Furthermore, the propagation of electrical trees reveals that the distribution of crystalline and amorphous regions of polypropylene significantly governs degradation pathways. This review discusses resistance strategies, specifically organic molecular modification, nanoparticle incorporation and crystalline structure regulation. Despite these advances, current research remains limited in understanding the synergistic interactions among multi‐physical fields and in developing predictive models for long‐term treeing behaviour. Future efforts should focus on the design of hierarchically structured PP composites to further enhance insulation performance. These insights are crucial for advancing the development of reliable insulation materials for next‐generation high‐voltage systems.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"197 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149050308","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}

{"title":"Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications","authors":"Yichen Ran,Yi Wang,Changheng Li,Jingyu Deng,Jian Wang,Haochen Zuo,Chen Zhao,Qian Wang,Yi Li,Song Xiao,Zhengyong Huang,Chao Wu,Zhonghui Shen,Kunming Shi,Fei Liu,Jie Chen,Jian Li,Xingyi Huang","doi":"10.1049/hve2.70239","DOIUrl":"https://doi.org/10.1049/hve2.70239","url":null,"abstract":"ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time‐consuming and cost‐intensive and thus cannot keep pace with the rapid iteration of modern power systems. Machine learning (ML) offers a powerful data‐driven paradigm to overcome these limitations. By extracting complex structure–property relationships from experimental and computational datasets, ML enables efficient performance prediction, formulation optimisation and inverse molecular design. This review first systematically presents the fundamental workflow of ML‐assisted materials research and summarises representative ML algorithms and their applicability to specific material science problems. Subsequently, it reviews key advances in ML applications for gaseous, liquid and solid insulating materials, highlighting the value of ML in supporting insulating materials research. Finally, it discusses major challenges in ML‐assisted insulating materials research and proposes potential solutions. By outlining the workflow of ML‐assisted materials research, summarising landmark advancements and exploring critical challenges in ML‐assisted insulating material research, this review aims to provide guidance for researchers seeking to leverage ML to elucidate structure–property relationships and accelerate the discovery of novel high‐performance insulating materials.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"197 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149050300","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}

{"title":"Conductivity Analysis and Thermoelectric Behaviour of Larch Standing Trees Under Lightning Currents: Role of Moisture Distribution and Carrier Motion","authors":"Jinru Sun,Xiaomeng Liu,Shu Li,Duanzhou Peng,Xueling Yao,Xiaodong Liu","doi":"10.1049/hve2.70238","DOIUrl":"https://doi.org/10.1049/hve2.70238","url":null,"abstract":"ABSTRACT The direct effects of lightning strikes on forest combustibles form the foundation for predicting lightning‐induced forest fires. Accurate assessment of lightning impact is hindered by limited knowledge of the conduction characteristics of standing larch trees. This paper introduces a method to measure both local and overall conductivity of trees in the Daxing’an Mountains, China, considering factors such as internal structure, moisture content, and voltage amplitude. A thermoelectric coupling simulation model was developed based on wood’s partial conductivity to analyse the electric‐thermal field distribution within standing trees under lightning impulses. Results reveal that carrier motion in wood is primarily influenced by electric field strength, cell membrane barriers, and polar group density. Conductivity increases with moisture content until saturation. Wood structure and cell arrangement also affect conductivity, with partial conductivity increasing from the heartwood to the bark. Additionally, axial conductivity is significantly higher than radial conductivity. Under lightning impulses, the thermoelectric behaviour of trees is influenced by moisture distribution, with areas of elevated current density and temperature shifting from bark to heartwood as moisture decreases. These findings provide a basis for understanding the thermoelectric damage and ignition mechanisms of trees in lightning‐induced forest fires.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"97 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021706","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}

{"title":"Influence of Dissolved Oxygen on the Gassing Tendency of Biodegradable Insulating Liquids Under Thermal and Electrical Faults","authors":"Moïse Agouassi,U. Mohan Rao,Issouf Fofana,Yazid Hadjadj,Fethi Maghnefi","doi":"10.1049/hve2.70240","DOIUrl":"https://doi.org/10.1049/hve2.70240","url":null,"abstract":"ABSTRACT Dissolved gas analysis (DGA), widely used for fault diagnosis, can be significantly influenced by the presence of oxygen. Oxygen not only accelerates fluid degradation but also alters the type and concentration of fault gases generated, potentially leading to misinterpretation of transformer conditions if conventional DGA models are applied uncritically. This study investigates the impact of dissolved oxygen on the gassing behaviour of two chemically distinct biodegradable insulating liquids, bio‐based hydrocarbons and synthetic esters, under controlled thermal and electrical stress conditions. Initial oxygen concentrations were systematically varied before subjecting the fluids to laboratory‐simulated faults, including arcing and thermal ageing via localised heating cycles. Post‐fault gas profiles were analysed using standard DGA methods, including Duval's triangle and pentagon, to assess diagnostic relevance. The results reveal a strong correlation between dissolved oxygen levels and gas generation, emphasising the need to adapt traditional DGA interpretation frameworks to account for the oxidative sensitivity of biodegradable fluids. These findings provide critical insights for more accurate fault diagnosis and asset management in transformers employing alternative insulating liquids.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"72 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933173","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}

{"title":"Refined Safety Distance Measurement of Heavy Construction Machinery Near Electricity Operation Based on Feature‐Homogenised Spatial Target Analysis","authors":"Fuqi Ma,Mingyang Qi,Rong Jia,Bo Wang,Leixiong Wang","doi":"10.1049/hve2.70214","DOIUrl":"https://doi.org/10.1049/hve2.70214","url":null,"abstract":"ABSTRACT Heavy construction machinery is essential for power infrastructure construction and maintenance, making safety distance measurement crucial for ensuring operational safety. Existing methods, which rely on target space mapping, face challenges such as error accumulation and limited accuracy. Motivated by this, this paper proposes a refined measurement method using high‐precision, anti‐interference LiDAR as the 3D data source. The method employs multi‐layer set abstraction for 3D feature extraction and introduces instance‐aware downsampling to homogenise point cloud features across targets of varying distances and sizes. Subsequently, an instance centroid prediction module aggregates contextual information to estimate precise spatial positions. Ultimately, by integrating optimal representative point selection with a distance calculation mechanism, the method achieves accurate minimum safety distance measurement for near‐electricity operations. Experimental results demonstrate superior accuracy in target location identification and distance measurement in complex scenes, outperforming existing methods. This approach provides theoretical and practical support for risk prevention in near‐electricity operations of heavy construction machinery.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"28 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893588","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}

{"title":"Study on Raindrop Dynamic Behaviour and Its Impact on Insulator Flashover Characteristics Under Airflow Synergy","authors":"Keqi Huang,Xueqin Zhang,Song Xiao,Lirui Zhang,Yujun Guo,Guangning Wu","doi":"10.1049/hve2.70246","DOIUrl":"https://doi.org/10.1049/hve2.70246","url":null,"abstract":"ABSTRACT The synergistic effect of airflow on rainfall behaviour significantly impacts the flashover probability of insulators. This study combines experiments and simulations to investigate the influence of raindrop dynamic behaviour, shed structures and rainfall conditions on flashover characteristics under airflow conditions. High‐speed cameras capture the dynamic behaviour of raindrops along the shed eave and their impact on the development of flashover. Meanwhile, finite element simulations analyse the role of shed structures in regulating airflow characteristics, raindrop dynamic behaviour and electric field distribution. The results indicate that airflow‐induced changes in raindrop behaviour exacerbate inter‐shed electric field distortion. Raindrop stretching, fragmentation, recombination and bridging behaviours accelerate the formation of conductive paths, significantly influencing arc generation, expansion, strengthening, drifting and extinction. Roof insulators with larger shed spacing and wider shed skirts demonstrate better resistance to rain‐induced flashover by suppressing raindrop accumulation and alleviating electric field distortion. This study reveals the synergistic mechanism among raindrop dynamic behaviour, electric field distortion and flashover characteristics, offering optimisation guidelines for insulator selection under extreme rainfall conditions for high‐speed trains.","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"7 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893534","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}

{"title":"About the Ageing-Induced Modifications of Physical-Chemical and Electrical Properties of Polyimide (PMDA-ODA) Under Gamma Radiation and High Temperatures","authors":"Simone Vincenzo Suraci,&nbsp;Jizhu Jin,&nbsp;Davide Mazza,&nbsp;Davide Fabiani","doi":"10.1049/hve2.70169","DOIUrl":"https://doi.org/10.1049/hve2.70169","url":null,"abstract":"<p>This study investigates the effects of radiation-induced ageing on the physical, chemical, mechanical and electrical properties of Poly[4,4′-oxydiphenylene- pyromellitimide] (PMDA-ODA) polyimide, a high-performance insulation material widely used in aerospace applications. Using a combination of Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA) and dielectric spectroscopy, the degradation mechanisms were systematically analysed under varying radiation dose rates and thermal conditions. Results reveal a dual-path degradation process: at lower dose rates (&lt; 860 Gy/h), microstructural modifications, such as chain scission predominate, under more severe conditions (∼2 kGy/h and 70°C), oxidation becomes the dominant mechanism. Despite these changes, TGA confirms exceptional thermal stability with almost invariant residual mass at 800°C (∼60%) and mechanical testing shows increased stiffness with ageing, attributed to chain crosslinking. Dielectric analysis indicates an increase in permittivity, dissipation factor and DC conductivity with ageing severity, whereas AC breakdown voltage remains largely unaffected. These findings highlight the complex interplay between molecular degradation and macroscopic performance, providing a basis for the nondestructive evaluation and reliable deployment of PMDA-ODA in extreme environments.</p>","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"11 4","pages":"939-952"},"PeriodicalIF":5.7,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70169","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859975","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}

{"title":"Cone-Type Insulator Surface Electric Field Measurement Based on Advanced Integrated Optical Electric Field Sensor","authors":"Juntong Zong,&nbsp;Weiqi Qin,&nbsp;Zhecheng Zhang,&nbsp;Changhong Zhang,&nbsp;Weiguo Li,&nbsp;Chuanyang Li,&nbsp;Jinliang He","doi":"10.1049/hve2.70234","DOIUrl":"https://doi.org/10.1049/hve2.70234","url":null,"abstract":"<p>Direct and accurate measurement of insulator near-surface electric fields in gas-insulated equipment is critical for understanding charge accumulation and insulation failure, yet it has been technically challenging. Optical sensing technology is renowned for its high sensitivity, wide dynamic range, strong resistance to electromagnetic interference and high integrability, providing a new approach. This study developed an integrated optical electric field sensor (IOES) based on the electro-optic effect of thin-film lithium niobate. By coupling an auxiliary micro-ring on one waveguide arm, the linearity of the sensor exceeded 99%, the dynamic range surpassed 84 dB and the packaging size was optimised to the millimetre scale. A finite element simulation was conducted on the electric field distribution of a 126 kV cone-type insulator to verify the reliability of IOES measurement results through comparison. Experimental verification showed the consistency of the electric field distribution above the insulator with the simulation. The high-field section demonstrates high accuracy with an error margin of just 1.56%, whereas the low-field section shows some deviation due to simulation parameters and the calibration curve. These results indicate that this optical electric field sensor holds great potential for measuring electric field distribution inside electrical equipment.</p>","PeriodicalId":48649,"journal":{"name":"High Voltage","volume":"11 4","pages":"1032-1039"},"PeriodicalIF":5.7,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/hve2.70234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148860092","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}