2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)最新文献_第9页

Research and Analysis of UHF Partial Discharge based on 35kV Switch Cabinet 基于35kV开关柜的超高频局部放电研究与分析

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708125

Yang Liu, Yong Zhao, Yang Nan, Xiang Dong, Jie Sun, Lin Yang

引用次数: 0

Research on Task Scheduling Algorithm for Edge Computing in Low-voltage transformer the area network 低压变压器局域网络边缘计算任务调度算法研究

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708207

Tian Lan, R. Liu, Shixiong Gong, Bin Li, Bing Qi

{"title":"Research on Task Scheduling Algorithm for Edge Computing in Low-voltage transformer the area network","authors":"Tian Lan, R. Liu, Shixiong Gong, Bin Li, Bing Qi","doi":"10.1109/AEERO52475.2021.9708207","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708207","url":null,"abstract":"Aiming at the task scheduling strategy and performance optimization problems in the edge computing of the power Internet of Things, to meet the needs of refined and intelligent power distribution in the Low-voltage transformer the area, this paper studies how to effectively schedule applications to achieve task operation, processing time, and task delay And the trade-off between system performance. Taking into account the local advantages of the edge of the Internet of Things agents in the Low-voltage transformer the area(LV-TAN), as well as the characteristics of the edge intelligent computing tasks in the power distribution domain of the Low-voltage transformer the area, and the physical static characteristics of the Low-voltage transformer the area, it is established to minimize task running time as the goal, while considering the stability of the task queue, Balance, priority, and propose a scheduling strategy for edge computing based on container scheduling algorithm. This strategy decomposes the optimization problem into a series of sub-problems, and distributes tasks according to the current status of the queue backlog and unloading target nodes to meet the optimization goals of the distribution Low-voltage transformer the area and ensure the stability of the system. The simulation results show that the algorithm effectively reduces the task scheduling time, increases the CPU utilization rate, and reduces the jitter of task processing.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"242 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80522982","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

Research on Fault Diagnosis Model of SF₆ Circuit Breaker Based on FNN Improved by GA 基于遗传算法改进的FNN的SF₆断路器故障诊断模型研究

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708230

Zihan Yun, Xinbo Huang, Yongcan Zhu

{"title":"Research on Fault Diagnosis Model of SF₆ Circuit Breaker Based on FNN Improved by GA","authors":"Zihan Yun, Xinbo Huang, Yongcan Zhu","doi":"10.1109/AEERO52475.2021.9708230","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708230","url":null,"abstract":"The traditional fault diagnosis methods of SF6 circuit breakers lack systematicity, which are intricate and time-consuming in fault detection and maintenance. A fault diagnosis model of SF6 circuit breaker based on fuzzy neural network improved by genetic algorithm is established to solve the similar problems. In this paper, an online fault diagnosis method for SF6 circuit breaker based on fuzzy neural network improved by genetic algorithm is established. This method adopted the characteristic data of SF6 circuit breakers to build a fault diagnosis model which is trained by inputting parameters, including the decomposition products of SF6 gas in the circuit breaker and the temperature, pressure and density, to diagnose the corresponding faults. Finally, the fault diagnosis model of fuzzy neural network improved by genetic algorithm compared with other diagnosis models in terms of training time and accuracy. The simulation results show that the proposed fault diagnosis model is more efficient and accurate than other available methods. The fault diagnosis model has also been applied to the online monitoring technology of the smart substation with good operations.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81715566","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

Characteristics of faluts of high voltage overhead transmission lines caused by icing in Zhejiang province 浙江省高压架空输电线路结冰故障特征分析

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708254

Zhenguo Wang, Xiangxian Zhou, Li Liu, L. Ni, Lei Ji, Jialun Yang

引用次数: 0

Study on Simulation Method of Water Absorption Characteristics of Zeolite 3A and 4A Based on Molecular Simulation 基于分子模拟的3A和4A沸石吸水特性模拟方法研究

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708100

Dawei Huang, Yukun Ma, Keru Jiang, J. Yang, Zhe Hou, F. Jia, Xiao Yang, B. Qi

{"title":"Study on Simulation Method of Water Absorption Characteristics of Zeolite 3A and 4A Based on Molecular Simulation","authors":"Dawei Huang, Yukun Ma, Keru Jiang, J. Yang, Zhe Hou, F. Jia, Xiao Yang, B. Qi","doi":"10.1109/AEERO52475.2021.9708100","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708100","url":null,"abstract":"Converter transformer is one of the most important power equipment in the power system. Oil-paper insulation is the main insulation form of transformer. Excessive adsorption of moisture will seriously affect the insulation characteristics of transformer. An online water removal system for transformer based on molecular sieve technology can continuously remove water from mineral oil by using zeolite’s selective adsorption ability of water molecules, which can realize online drying of transformer oil-paper insulation. In this paper, the simulation method of moisture adsorption characteristics of zeolite 3A and 4A based on Monte Carlo method is deeply studied, and the setting principle of simulation parameters is given, and the reliability of the method used to simulate the moisture absorption characteristics of zeolite 3A and 4A is verified, which provides a practical method reference for the follow-up systematic research on the moisture absorption characteristics of zeolite adsorbent and revealing the moisture absorption mechanism.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"25 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78111140","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

Pattern Recognition of UHF Partial Discharge Signals in GIS Based on Deep Learning 基于深度学习的GIS超高频局部放电信号模式识别

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708387

Shuai Han, Sizhuo Liao, Fei Gao, Bo Wang, Ning Yang

引用次数: 0

Adaptive Inspection of Submarine Cable for Operating Environment Based on Remote Operated Vehicle 基于遥控船的海底电缆作业环境自适应检测

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708122

Xiaowei Huang, Chi Cai, Qiang Guo, Weijia Zhang, Cong Wu, Xiaojun Li, Yikang Chen, Jianying Wang, Ganqing Zuo

{"title":"Adaptive Inspection of Submarine Cable for Operating Environment Based on Remote Operated Vehicle","authors":"Xiaowei Huang, Chi Cai, Qiang Guo, Weijia Zhang, Cong Wu, Xiaojun Li, Yikang Chen, Jianying Wang, Ganqing Zuo","doi":"10.1109/AEERO52475.2021.9708122","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708122","url":null,"abstract":"Regularly, inspections about the operating environment of submarine cables could help to find risk points such as exposing, suspending, and weakened mechanical protection of submarine cables, which facilitates timely adjustment of operation and maintenance strategies and measures to repair the mechanical protection to prevent the cables from being damaged by external forces. Based on PID and fuzzy control theory, a series of automatic control technologies such as auto cable tracking, auto depth, auto attitude, auto pitch, auto heading, auto positioning, etc. of Remote Operated Vehicle are proposed, which can be automatically controlled according to the direction of submarine cable routing, submarine topography and environmental changes. So as adjust the attitude of the Remote Operated Vehicle, realize the adaptive detection of the operating environment of the submarine cable, and it helps to improve the intelligence of the detection operation, and reduce the excessive intervention from the pilots during the detection process. This technology was successfully applied for the 500kV submarine cable inspection of Hainan Interconnection Project in 2019. The Remote Operated Vehicle detected along the submarine cables routing under the strong cross-current or fixed-point hovering. In this detection, several exposing and suspending of the cable was successfully found.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"41 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74005868","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

Decomposition Characteristics of C4 F7 N/CO2 Gas Mixture at Different Gas Pressure 不同气压下C4 - F7 N/CO2混合气的分解特性

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708094

Qiulin Zhao, Guohui Hao, Shaoli Zhang, Cong Wang, Renjie Cao, Y. Tu, Zhong Zheng

{"title":"Decomposition Characteristics of C4 F7 N/CO2 Gas Mixture at Different Gas Pressure","authors":"Qiulin Zhao, Guohui Hao, Shaoli Zhang, Cong Wang, Renjie Cao, Y. Tu, Zhong Zheng","doi":"10.1109/AEERO52475.2021.9708094","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708094","url":null,"abstract":"In recent years, C<inf>4</inf> F<inf>7</inf> N gas has been considered as one of the most promising alternative gases for SF<inf>6</inf> due to its excellent insulation and environmental performance. At present, there are still many imperfections in the research of C<inf>4</inf> F<inf>7</inf> N decomposition characteristics, which make it difficult to be widely used in power equipment. In this paper, the kinetic model of C<inf>4</inf> F<inf>7</inf> N decomposition with different pressure is established on the Reaxff molecular dynamics method. It is found that the decomposition rate of C<inf>4</inf> F<inf>7</inf> N and CO<inf>2</inf> increases with the increase of air pressure, and the C<inf>3</inf> NF<inf>4</inf> and C<inf>4</inf> NF<inf>6</inf> generated by the decomposition will undergo secondary decomposition at high temperature, while the decomposition rate of C<inf>4</inf> F<inf>7</inf> N to produce CF<inf>3</inf> and F will increase with the increase of air pressure. The production rate of free radicals such as CF<inf>2</inf>, CN, CF, CNF and CF<inf>4</inf> increases with the increase of air pressure, while the formation of C<inf>3</inf> F<inf>8</inf> is inhibited under high pressure. The results of this paper can provide some theoretical reference for C<inf>4</inf> F<inf>7</inf> N on application in electrical equipment.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"29 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80994266","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

Improved DGA Pentagon Model for Identifying Discharge and Thermal Faults of Three Element Mixed Oil-paper Insulation Used in Power Transformer 电力变压器三相混合油-纸绝缘放电及热故障识别的改进DGA五边形模型

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708170

Qing Xu, Chenyu Gao, Wenyu Ye, Jingwen Zhang, Ying Li, J. Hao

{"title":"Improved DGA Pentagon Model for Identifying Discharge and Thermal Faults of Three Element Mixed Oil-paper Insulation Used in Power Transformer","authors":"Qing Xu, Chenyu Gao, Wenyu Ye, Jingwen Zhang, Ying Li, J. Hao","doi":"10.1109/AEERO52475.2021.9708170","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708170","url":null,"abstract":"Three-element mixed insulation oil, as a new type of environmental protection insulation oil, is made up of mineral oil, soybean oil and palm oil fatty acid ester (PFAE). Nowadays, 10 kV and 35 kV transformers with mixed insulation oil have been connected to the network. However, the criterion for fault determination of mixed insulation oil transformer has not been established. In current work, the gas generation characteristics of three-element mixed oil-paper insulation system in overheating and partial discharge faults were studied. The results show that H2, CH4 and C${}_{2}mathrm{H}_{6}$ are the main characteristic gases of overheating failure of mixed oil-paper insulation system. H2, C${}_{2}mathrm{H}_{2}$ and C${}_{2}mathrm{H}_{6}$ are mainly produced during partial discharge of mixed insulation oil. H2, C${}_{2}mathrm{H}_{4}$ and C${}_{2}mathrm{H}_{2}$ are the main characteristic gases of power frequency breakdown fault of mixed insulation oil, while $mathrm{H}_{2}, mathrm{C}_{2}mathrm{H}_{6}$ and C2H2 are the main characteristic gases of power frequency breakdown fault of mixed insulation oil immersed paper. $mathrm{H}_{2}, mathrm{C}_{2}mathrm{H}_{4}$ and C2H2 are the main characteristic gases in the surface flashover discharge fault of the mixed oil-paper insulation system. $mathrm{H}_{2}, mathrm{C}_{2}mathrm{H}_{4}$ and C2H2 are the main characteristic gases of lightning shock breakdown of mixed oil and oil-impregnated paper. Based on dissolved gas analysis (DGA), Duval pentagon fault diagnostic methods of three-element mixed insulation oil was proposed. This paper is beneficial to the further application and popularization of three-element mixed insulation oil.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"76 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86329966","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

Analysis of Electric and Magnetic Field of ± 660kV HVDC OTL Underlying Human Body ±660kV高压直流OTL人体下伏电磁场分析

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708181

K. Hussain, T. Lu, A. Siddique

引用次数: 0