2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)最新文献_第4页

Trend Analysis of Dissolved Gas in Oil for Transformer 变压器油中溶解气体的趋势分析

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708098

Qingzhu Yang, Yangchun Cheng, Ninghui He, Xu-tao Wu, Weiyan Sha, Xiu Zhou

引用次数: 0

Discharge Fault Identification of Polluted Insulators Based on Wavelet Packet Transform Entropy Features 基于小波包熵特征的污秽绝缘子放电故障识别

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708288

Jinyi Deng, F. Lin, Zitao Xu, Danrui Ma, Lijun Jin

{"title":"Discharge Fault Identification of Polluted Insulators Based on Wavelet Packet Transform Entropy Features","authors":"Jinyi Deng, F. Lin, Zitao Xu, Danrui Ma, Lijun Jin","doi":"10.1109/AEERO52475.2021.9708288","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708288","url":null,"abstract":"The detection and type identification of defects in the external insulation of electrical equipment is an important part of high-voltage insulation condition assessment. UV pulse detection technology is used to detect and analyze the discharges by using UV sensors. In this paper, we propose a method to identify the defects of polluted insulator discharge based on the entropy feature of wavelet packet transform. The wavelet packet transform is used to decompose and reconstruct the UV pulse signal of the polluted insulator discharge and extract the three-dimensional time-frequency distribution of the signal for time-frequency analysis, extract the wavelet packet entropy features of the signal in the time-frequency domain, and classify the two discharge types of corona and arc using classifiers such as support vector machine (SVM). In order to verify the effectiveness of the algorithm proposed in this paper, a surface discharge test device was set up in the laboratory, and experiments were conducted to classify the corona and arc discharge types of ceramic insulators, which were detected by UV pulse sensors. The results show that the recognition rate of identifying the two discharge states of corona and arc is as high as 95% using the feature extraction method proposed in this paper. Meanwhile, the detection system can realize long-term online detection of external insulation discharge and can be extended to substation and switchgear detection.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"24 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":"73113989","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

Design of GIS High Voltage Measurement System Based on Pockels Electro-Optic Effect 基于Pockels电光效应的GIS高压测量系统设计

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708342

Lijuan Guo, L. Niu, Qi Ning, Lei Wang, Hongbo Li, Dongling Guo, Zhiguang Ma

引用次数: 0

Fault Diagnosis Method for Transformer Windings Based on Residual Neural Network and State Code 基于残差神经网络和状态码的变压器绕组故障诊断方法

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708263

Xiaoxin Wu, Yigang He, Jiajun Duan, Zihao Li, Yingying Zhao

{"title":"Fault Diagnosis Method for Transformer Windings Based on Residual Neural Network and State Code","authors":"Xiaoxin Wu, Yigang He, Jiajun Duan, Zihao Li, Yingying Zhao","doi":"10.1109/AEERO52475.2021.9708263","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708263","url":null,"abstract":"Currently, methods for power transformer winding fault diagnosis are still less intelligent. And there are few studies on its fault localization. This paper proposes a state code suitable for transformer intelligent fault diagnosis, which is combined with residual neural network for fault localization of transformer windings. First, obtain transformer winding frequency response data of different states based on pspice simulation. Next, the Pearson correlation coefficient of the FR data and the fingerprint is calculated using windowing calculation method to obtain the feature sequence dataset. Then, map the value of the one-dimensional feature sequence to the track of the space filling curve to obtain the two-dimensional state code dataset. Finally, the dataset is used for transfer training and verification of the residual neural network constructed based on the diagnostic scenario in this paper. Finally, the accuracy of the method proposed in this paper has an average increase of 5.43% over the traditional machine learning methods, reaching 94.44%.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"32 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":"73871770","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

The Muti-Regional Coordinated Control Strategy of Distribution Network Adapting to Multiple Power Sellers 适应多售电商的配电网多区域协调控制策略

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708227

Zhihui Wang, B. Liu, Ruoxi Liu, Yuan Gui, Yuhai Yao, Zhiyong Wang, Guangyao Ma

{"title":"The Muti-Regional Coordinated Control Strategy of Distribution Network Adapting to Multiple Power Sellers","authors":"Zhihui Wang, B. Liu, Ruoxi Liu, Yuan Gui, Yuhai Yao, Zhiyong Wang, Guangyao Ma","doi":"10.1109/AEERO52475.2021.9708227","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708227","url":null,"abstract":"The number of power sellers for construction progress and operation of incremental distribution network is increasing and the control methods of reginal grids becomes more diverse in the power market reform progress. In order to adapt to the trend of the power market reform, this paper proposes a coordinated control strategy to fit the requirement of multiple operation model. The regional grid of power sellers and the public grid are established according to the control requirement of each operator. When the public grid operates in a long-term scale control mode of the whole network, the regional grids of power sellers’ grid are equivalent to the load/generator node to establish electrical contact with the public grid. The regional grid of power sellers performs shortterm scale control mode based on the operation results of the public grids. In order to ensure the power balance between the grids, the regional dynamic interactive power limit model is established which quantifies the delivering power of the regional grid with the voltage variation characteristics. The case analysis result indicates that the coordinated control strategy proposed by this paper has better computational efficiency than the centralized calculation method.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"65 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":"74100701","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

Equivalence of DC Corona Loss Based on Small Corona Cages and Simplified Test Lines 基于小电晕笼和简化测试线路的直流电晕损耗等效

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708169

Jian Tang, Yongshuang Li, Chen Liu, Bo Xia, Zhiqiang Wang, Jing Wang, Zijian Ye, Shilong Huang, Yunpeng Liu

引用次数: 0

The Comparison of Nodal Voltage Matrix and State Space Methods for Calculating the FRA Curve of the Transformer Winding 节点电压矩阵法与状态空间法计算变压器绕组FRA曲线的比较

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708319

Song Wang, Z. Yuan, Shuhong Wang

引用次数: 0

Research on the Aging Mechanism of Insulation Paper of Converter Transformer Based on Molecular Dynamics 基于分子动力学的换流变压器绝缘纸老化机理研究

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708236

Y. Teng, Guan Wang, Junjie Li, Zhong-cheng Zhao

引用次数: 0

The Test Data of Multi-source Transmission and Transformation Equipment are Unified JSON Format File Generation 多源输变电设备测试数据采用统一的JSON格式文件生成

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708143

Ziyang Song, Yurui Wu, Chen Tian, Chao Liu, Wuxing Wang

{"title":"The Test Data of Multi-source Transmission and Transformation Equipment are Unified JSON Format File Generation","authors":"Ziyang Song, Yurui Wu, Chen Tian, Chao Liu, Wuxing Wang","doi":"10.1109/AEERO52475.2021.9708143","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708143","url":null,"abstract":"Objective: For multi-source transmission and transformation equipment transport inspection data into a standardized JSON format, easy for transport inspectors to collect, store, analysis. methods: To obtain the detection data of the transmission and transformation device through RS232 or USB drive and Bluetooth and transmit it to the intelligent analysis terminal, and use node.js to read and convert the experimental data stream into the standard JSON format according to the standard specification, and finally into the target file. Result: According to the multi-source instrument detection data type, the conversion kit was developed to generate a standard unified JSON file containing basic equipment information, nameplate information and test data. Conclusion: JSON is a simple data exchange format, the biggest feature is simplicity [1], with good self-description, easy to read, strong software-friendly, improve the operation of inspectors to analyze and store different types of variable power detection data efficiency.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"12 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":"90385232","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

Relationship Between Porosity and Dielectric Constant and Tensile Strength of Insulating Paper 绝缘纸孔隙率、介电常数与抗拉强度的关系

2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) Pub Date : 2021-10-15 DOI: 10.1109/AEERO52475.2021.9708145

Sai Li, Rui Liu, Meng Huang

引用次数: 0