Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9280067
Peng Li, Pan Xiao, Tian Wu, Ziheng Pu, Chunhua Fang, Yu Wang
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.
{"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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9280092
Yanxin Wang, Jing Yan, Tingliang Liu
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.
{"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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9279752
Gang Liu, Jian Wang, Shangmao Hu, H. Cai, L. Jia, Ruifang Li
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.
{"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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9279760
Tao Zhang, D. He, Fansong Meng, Qingquan Li
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.
{"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}
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.
{"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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9279507
Jiao Chunlei, Ding Deng-wei, L. Weidong, He Liang, Zhang Ziwei, Yu Minghu
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.
{"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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9280080
Xingcheng Huang, Jingen Song, Hui Zhou, Su Huang, Hong-yu Ni, Wen-xu Yan
As a kind of partial differential system, the string system has a great application space in fields of aerospace and transportation, such as high-altitude electrical equipment measurement and maintenance using an unmanned aircraft. At same time, vibration suppression of string system has received great concern in engineering. In this paper, a underactuated string system with boundary disturbance based on unmanned aircraft hoisting payload is studied. System dynamic is modeled by Hamiltonian principle. The control objective in this paper are to move the payload to the desired position through the movement of the unmanned aircraft, and the vibration of the cable can be quickly eliminated. An improved boundary control law is presented in this paper, and the asymptotic stability of the system is proved by Lyapunov theory. The effectiveness of the method in this paper is verified by numerical simulation.
{"title":"Boundary Control of a String System on Unmanned Aircraft for Electrical Equipment Measurement and Maintenance","authors":"Xingcheng Huang, Jingen Song, Hui Zhou, Su Huang, Hong-yu Ni, Wen-xu Yan","doi":"10.1109/ICHVE49031.2020.9280080","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9280080","url":null,"abstract":"As a kind of partial differential system, the string system has a great application space in fields of aerospace and transportation, such as high-altitude electrical equipment measurement and maintenance using an unmanned aircraft. At same time, vibration suppression of string system has received great concern in engineering. In this paper, a underactuated string system with boundary disturbance based on unmanned aircraft hoisting payload is studied. System dynamic is modeled by Hamiltonian principle. The control objective in this paper are to move the payload to the desired position through the movement of the unmanned aircraft, and the vibration of the cable can be quickly eliminated. An improved boundary control law is presented in this paper, and the asymptotic stability of the system is proved by Lyapunov theory. The effectiveness of the method in this paper is verified by numerical simulation.","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":"83721423","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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9279740
Yuyao Hu, Chunyu Zong, R. Xian, Peng Zhang, Wenliang Yin
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.
{"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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9279465
Yaohong Zhao, Yihua Qian, Siwei Pan, Li Li, W. Su, Qibin Xia
As the key equipment of power transmission and transformation system, the reliability of power transformer is directly related to the safe and stable operation of power system. In recent years, sulfur compounds in mineral insulating oil makes the transformers in high risk, since these sulfur compounds can react with copper windings to produce semi-conductive Cu2S species. This work mainly involved with the study of adsorption removal of sulfur compound from insulating oil by metal modified $gamma-text{Al}_{2}mathrm{O}_{3}$ molding powder. The adsorption mechanism explained by TPD experiment suggested that the activation energy of DBDS desorption from modified $gamma-text{Al}_{2}mathrm{O}_{3}$ was much higher than that of active carbon.
{"title":"Study of Corrosive Sulfur Adsorption by Modified $gamma-text{Al}_{2}mathrm{O}_{3}$","authors":"Yaohong Zhao, Yihua Qian, Siwei Pan, Li Li, W. Su, Qibin Xia","doi":"10.1109/ICHVE49031.2020.9279465","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9279465","url":null,"abstract":"As the key equipment of power transmission and transformation system, the reliability of power transformer is directly related to the safe and stable operation of power system. In recent years, sulfur compounds in mineral insulating oil makes the transformers in high risk, since these sulfur compounds can react with copper windings to produce semi-conductive Cu2S species. This work mainly involved with the study of adsorption removal of sulfur compound from insulating oil by metal modified $gamma-text{Al}_{2}mathrm{O}_{3}$ molding powder. The adsorption mechanism explained by TPD experiment suggested that the activation energy of DBDS desorption from modified $gamma-text{Al}_{2}mathrm{O}_{3}$ was much higher than that of active carbon.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"13 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":"80590721","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}
Pub Date : 2020-09-06DOI: 10.1109/ICHVE49031.2020.9280014
Ping Song, Zheng Zhu, Wei-qiang Yao, Qi-qi Zhang, W. Si, P. Yuan
A combined in-oil partial discharges (PD) sensor with acoustical emission (AE) and ultra high frequency (UHF) methods for PD detection in transformer is designed and developed, according to the disadvantages and advantages of electromagnetic and acoustic PD measurements shown in IEC TS 62478 Edition 1.0 2016–08. It is formed by placing an AE sensor inside the end part of UHF probe to fit for the transformer oil valve, which works independently of each other with two output channels for AE and UHF PD signals measurements. Test results of a 110 kV transformer with built-in tip, suspension and surface insulation defects show that the combined UHF/AE in-oil PD sensor designed and developed can effectively detect the electromagnetic wave and ultrasonic signal with a specific time difference $Deltamathbf{t}$ generated by the weak discharges in the transformer oil, which provides a new mixed electromagnetic and acoustic method for PD measurements of transformer.
根据IEC TS 62478 version 1.0 2016-08中电磁和声局部放电(PD)测量方法的优缺点，设计并开发了一种结合声发射和超高频(UHF)方法的油内局部放电(PD)传感器，用于变压器局部放电检测。它是在超高频探头的端部放置一个与变压器油阀相适应的声发射传感器而形成的，它们相互独立工作，有两个输出通道用于测量声发射和超高频PD信号。对110 kV变压器内置尖端、悬置和表面绝缘缺陷的试验结果表明，所设计研制的UHF/AE油内PD传感器能有效检测变压器油中弱放电产生的具有特定时差$Deltamathbf{t}$的电磁波和超声信号，为变压器PD测量提供了一种新的电磁声混合测量方法。
{"title":"A novel combined in-oil PD sensor with AE and UHF methods for PD detection in transformer, part 2: experimental verification","authors":"Ping Song, Zheng Zhu, Wei-qiang Yao, Qi-qi Zhang, W. Si, P. Yuan","doi":"10.1109/ICHVE49031.2020.9280014","DOIUrl":"https://doi.org/10.1109/ICHVE49031.2020.9280014","url":null,"abstract":"A combined in-oil partial discharges (PD) sensor with acoustical emission (AE) and ultra high frequency (UHF) methods for PD detection in transformer is designed and developed, according to the disadvantages and advantages of electromagnetic and acoustic PD measurements shown in IEC TS 62478 Edition 1.0 2016–08. It is formed by placing an AE sensor inside the end part of UHF probe to fit for the transformer oil valve, which works independently of each other with two output channels for AE and UHF PD signals measurements. Test results of a 110 kV transformer with built-in tip, suspension and surface insulation defects show that the combined UHF/AE in-oil PD sensor designed and developed can effectively detect the electromagnetic wave and ultrasonic signal with a specific time difference $Deltamathbf{t}$ generated by the weak discharges in the transformer oil, which provides a new mixed electromagnetic and acoustic method for PD measurements of transformer.","PeriodicalId":6763,"journal":{"name":"2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)","volume":"323 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":"80305463","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}
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