2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)最新文献_第9页

Influence of Cloud-to-Ground Lightning with long Continuing Current on the Operation Characteristic of 500 kV DC Transmission Line 长持续电流云对地闪电对500kv直流输电线路运行特性的影响

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9280067

Peng Li, Pan Xiao, Tian Wu, Ziheng Pu, Chunhua Fang, Yu Wang

{"title":"Influence of Cloud-to-Ground Lightning with long Continuing Current on the Operation Characteristic of 500 kV DC Transmission Line","authors":"Peng Li, Pan Xiao, Tian Wu, Ziheng Pu, Chunhua Fang, Yu Wang","doi":"10.1109/ICHVE49031.2020.9280067","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9280067","url":null,"abstract":"The operating experience of power transmission lines shows that the influence of the continuous current process after cloud-to-ground (C-G) lightning return-stroke on the DC line cannot be ignored. Therefore, the characteristics of the continuous current are analyzed statistically in this paper. The lightning overvoltage simulation model considering the long continuous current is built, and the influence of the long continuing current on the operation characteristic of 500 kV DC transmission line is analyzed by simulation. Simulation results indicate that the long continuous current has less effect on the overvoltage amplitude of the transmission line. But after the lightning causes the insulator flashover, the flashover current of the insulator is increased by about 47% of the continuous current amplitude. When the arrester is in normal operation, the energy absorption is mainly determined by the stage of the return-stroke, and the existence of continuous current has almost no influence. However, when multiple return-strokes cause the arrester to fail, the influence of the continuous current needs to be considered.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"49 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82129203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Comprehensive Intelligent Diagnosis for Mechanical and Insulation Faults of Power Equipment in the Power Internet of Things Context 电力物联网环境下电力设备机械和绝缘故障的综合智能诊断

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9280092

Yanxin Wang, Jing Yan, Tingliang Liu

{"title":"Comprehensive Intelligent Diagnosis for Mechanical and Insulation Faults of Power Equipment in the Power Internet of Things Context","authors":"Yanxin Wang, Jing Yan, Tingliang Liu","doi":"10.1109/ICHVE49031.2020.9280092","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9280092","url":null,"abstract":"During the construction of the power Internet of Things, the data of the entire process of equipment operation will be monitored and retained. Therefore, the representative and comprehensive problem of the fault sample is solved. In this way, artificial intelligence technology can be used to carry out in-depth mining in order to digitally and intelligently diagnose power equipment failures. To this end, this paper proposes an efficient lightweight convolutional neural network for comprehensive intelligent diagnosis of mechanical and insulation faults in power equipment. This paper first introduces the process of comprehensive intelligent fault diagnosis under the power Internet of Things. Then a lightweight convolutional neural network (LCNN) for comprehensive intelligent fault diagnosis was constructed. Next, this paper validates the method on the GIS partial discharge data set and the mechanical fault data set. Compared with the traditional method, the accuracy of the method proposed in this paper is 99.91% on the mechanical dataset, and 94.52% on the insulation dataset, which has a significant improvement. Moreover, the model is one-tenth of the traditional model in terms of parameter quantity and storage space, which is conducive to real-time and fast processing of signals under the power Internet of Things.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"15 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82165824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Study on the electromagnetic coupling relationship between subway and power grid 地铁与电网的电磁耦合关系研究

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9279752

Gang Liu, Jian Wang, Shangmao Hu, H. Cai, L. Jia, Ruifang Li

{"title":"Study on the electromagnetic coupling relationship between subway and power grid","authors":"Gang Liu, Jian Wang, Shangmao Hu, H. Cai, L. Jia, Ruifang Li","doi":"10.1109/ICHVE49031.2020.9279752","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9279752","url":null,"abstract":"At present, the development of rail transit in China is very rapid, and the subway greatly facilitates people's transportation. Since the metro adopts THE DC power supply system, the dc magnetic bias fault of the transformer in the surrounding AC power network will be caused by the metro, which will affect the operation of the AC power network. The current research literature considers that the stray current of subway leads to the potential difference between the grounding grids of two substations at different positions, thus causing the dc magnetic bias fault of the transformer. This paper studies the feasibility of generating DC magnetic bias current through electromagnetic coupling between space electromagnetic field and nearby transmission lines while traction power supply catenary provides energy for subway. Firstly, the electromagnetic coupling model between subway overhead contact network and nearby transmission lines is established, the coupling relationship between them is deduced, and the influence law of different factors such as subway depth and grid area on grid induced voltage is analyzed. Then, a field measurement was carried out in a subway section of Chengdu city, a simulated grid loop was built, and the induced voltage signal of the simulated line was collected when the subway vehicles passed. It is found that subway traction power supply system has strong coupling effect on AC power network. It is also found that the induced voltage of the traction network on the grid is not only related to the relative position of the subway and the grid, but also related to the running state of the train. When the subway vehicle runs in the coupling interval, the moving magnetic field generated by the vehicle movement has a greater influence on the DC magnetic bias than the magnetic field generated by the catenary current.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"174 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79694956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Space Charge Behavior in Cable Insulation under a DC-Superimposed Pulsed Electric Field 直流叠加脉冲电场作用下电缆绝缘中的空间电荷行为

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9279760

Tao Zhang, D. He, Fansong Meng, Qingquan Li

{"title":"Space Charge Behavior in Cable Insulation under a DC-Superimposed Pulsed Electric Field","authors":"Tao Zhang, D. He, Fansong Meng, Qingquan Li","doi":"10.1109/ICHVE49031.2020.9279760","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9279760","url":null,"abstract":"Under lightning and operating overvoltage, cable transmission lines are more prone to occur insulation degradation and breakdown resulting in power interruption. To study the mechanism of insulation breakdown under pulse voltage caused by overvoltage, an experiment about the dynamic characteristic of space charge at rising and falling edges in cross-linked polyethylene under DC-superimposed pulsed voltage was conducted. The experiment result shows that the change of space charge density at the rising and falling edges is opposite to the change of voltage amplitude: the space charge density decreases when the voltage amplitude increases, and increases when the voltage amplitude decreases. An analysis method from the perspective of forces acting on the space charge is proposed to explain this unusual phenomenon. The suddenly changed electric field at the rising and falling edges breaks the balance of force acting on the space charge, resulting injection and extraction of charge. The dynamic behavior of space charge is accompanied by the release of energy, which will destroy the microstructure of insulation material and result breakdown eventually. This study is of great significant to help reveal the essence of insulation failure and improve the performance of insulation materials.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79800456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Defect Diagnosis Method of Main Transformer Based on Operation and Maintenance Text Mining 基于运维文本挖掘的主变压器故障诊断方法

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9280086

Yubo Zhang, Youyuan Wang, Hongrui Gu, Lifeng Liu, Jianguang Zhang, Haifeng Lin

{"title":"Defect Diagnosis Method of Main Transformer Based on Operation and Maintenance Text Mining","authors":"Yubo Zhang, Youyuan Wang, Hongrui Gu, Lifeng Liu, Jianguang Zhang, Haifeng Lin","doi":"10.1109/ICHVE49031.2020.9280086","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9280086","url":null,"abstract":"During the operation and maintenance of electrical equipment like power transformers, the information of defects or faults are usually recorded by text data. However, the method of classifying transformer defects by text data relies on manual at present, which is inefficient and uneconomical. This paper presents a recurrent convolutional neural network with Bayesian optimization, which construct a text classification model can automatically classify the power text data. Firstly, the text is preprocessed, including the establishment of the transformer's dictionary, word segmentation of defect text and then mapping the results to word vectors based on distributed representation. Furthermore, training the CNN and RCNN networks by supervised learning. It is worth mentioning that in RCNN network, the Bi-LSTM structure is used instead of the convolutional layer, which can learn the semantics of the text more effectively. In addition, in order to obtaining a better classification effect after training, the Bayesian method is used to optimize the hyper-parameters of the networks. Finally, On the test dataset, two kinds of network achieved 90% test accuracy and 92% test accuracy, respectively.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84643370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Construction of transient voltage UWB on-line monitoring system in UHV GIL based on capacitive voltage division 基于容性分压的特高压GIL暂态电压超宽带在线监测系统的构建

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9279507

Jiao Chunlei, Ding Deng-wei, L. Weidong, He Liang, Zhang Ziwei, Yu Minghu

{"title":"Construction of transient voltage UWB on-line monitoring system in UHV GIL based on capacitive voltage division","authors":"Jiao Chunlei, Ding Deng-wei, L. Weidong, He Liang, Zhang Ziwei, Yu Minghu","doi":"10.1109/ICHVE49031.2020.9279507","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9279507","url":null,"abstract":"The transient voltage process in UHV transmission system has a great influence on the insulation state of Gil equipment. Therefore, in order to monitor the transient voltage process suffered by the UHV GIL during its operation in real time, this paper constructs a transient voltage ultrawideband (UWB) online monitoring system based on capacitive voltage division, which is actual applied in 1100kV Sutong GIL utility tunnel project. The system included voltage sensor, monitoring terminal and storage and control unit. Capacitance sensing transformation is carried out on the cover plate of the GIL. Signal conversion and acquisition are implemented locally at the monitoring terminal, and uploaded to the upper storage control unit through optical fiber. The effective measurement bandwidth of the monitoring system ranges from 2.1Hz to 230MHz, the sampling rate is 250 MS/s, and the analog bandwidth is 100MHz. The abrupt voltage waveform can be accurately captured by customized steep trigger mode, and the recording time is not less than 100 ms. During withstand voltage test of the GIL, the transient voltage process caused by internal insulation breakdown is recorded successfully and accurately. The transient voltage duration is about 400us, the first abrupt change of voltage is about 120ns, and the instantaneous frequency excited by the abrupt change is close to 35MHz. Through in-depth analysis of transient voltage waveform, it is helpful to research the process of fault occurrence, identify the type of fault, and locate the breakdown location quickly and accurately, which provides strong support for the maintenance of UHV GIL.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"166 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81757712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Boundary Control of a String System on Unmanned Aircraft for Electrical Equipment Measurement and Maintenance 无人机电气设备测量与维修串系统的边界控制

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9280080

Xingcheng Huang, Jingen Song, Hui Zhou, Su Huang, Hong-yu Ni, Wen-xu Yan

引用次数: 0

Numerical Simulation of the Physical Process of Collision between Wet Snow Particle and Insulator Surface under DC Electric Field 直流电场作用下湿雪颗粒与绝缘子表面碰撞物理过程的数值模拟

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9279740

Yuyao Hu, Chunyu Zong, R. Xian, Peng Zhang, Wenliang Yin

{"title":"Numerical Simulation of the Physical Process of Collision between Wet Snow Particle and Insulator Surface under DC Electric Field","authors":"Yuyao Hu, Chunyu Zong, R. Xian, Peng Zhang, Wenliang Yin","doi":"10.1109/ICHVE49031.2020.9279740","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9279740","url":null,"abstract":"A new type of the insulator named integrated lightning protection insulator incorporates insulation function of the insulator and lightning protection function of the arrester. Due to the particularity of the structure, the electric field and flow field characteristics of the lightning protection insulator with DC are bound to be different from common composite insulator in a snowfall environment. Therefore, based on the field charging theory, the influences of electric field force, gravity and air drag force on wet snow particles were taken into account. The movement characteristics of particles near the surface of two types of the insulators were analyzed and compared through multi-physics coupling simulation and the effect of DC electric field on the trajectories of wet snow particles around the two was revealed. The results show that wet snow particles are more likely to collide with the insulator surface under DC electric field, especially for locations with a high electric field strength. As the wind speed and particle diameter increase, the influence of the electric field is weakened, and the movement of particles tends to the upper and lower surfaces of the insulator. Numerical simulation reveled that the change in the movement direction and speed of wet snow particles caused by DC electric field is the primary cause of the intensification of snow accretion on the insulator.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"57 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82263397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study of Corrosive Sulfur Adsorption by Modified $gamma-text{Al}_{2}mathrm{O}_{3}$ 改性$gamma-text{Al}_{2} mathm {O}_{3}$对腐蚀性硫的吸附研究

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9279465

Yaohong Zhao, Yihua Qian, Siwei Pan, Li Li, W. Su, Qibin Xia

引用次数: 0

A novel combined in-oil PD sensor with AE and UHF methods for PD detection in transformer, part 2: experimental verification 基于声发射与超高频相结合的油内放电传感器在变压器放电检测中的应用，第二部分:实验验证

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE) Pub Date : 2020-09-06 DOI: 10.1109/ICHVE49031.2020.9280014

Ping Song, Zheng Zhu, Wei-qiang Yao, Qi-qi Zhang, W. Si, P. Yuan

引用次数: 0