Haozhi Shi, Shuqi Zhang, Xinru Yu, Feiyang Su, C. Gao, B. Qi, Chengrong Li
{"title":"Influence of Temperature on the Partial Discharge Inception Characteristics of Typical Insulation-shaping Components in Transformer","authors":"Haozhi Shi, Shuqi Zhang, Xinru Yu, Feiyang Su, C. Gao, B. Qi, Chengrong Li","doi":"10.1109/AEERO52475.2021.9708137","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708137","url":null,"abstract":"In this paper, the effect of temperature on the partial discharge inception characteristics of typical insulation-shaping components is demonstrated. The partial discharge test platform was established to test the typical insulation-shaping components of three manufacturers. The products of each manufacturer were tested for the partial discharge inception voltage and magnitude at five temperatures of 20°C 35°C, 50°C, 65°C and 80°C, and their distribution figures were drawn. Based on the test results, the partial discharge inception characteristics of the insulation-shaping components of the three manufacturers were compared, and the dispersion of the product data was analyzed. According to the analysis result, it can be concluded that the partial discharge inception voltage of typical insulation-shaping components decreases with the increase of temperature, and the discharge magnitude rise with the increase of temperature, and the performance of various insulation-shaping components of each manufacturer is different.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"43 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":"76241570","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}
M. Gao, Lin Ke, M. Fu, Hongbin Zhou, Lu Cai, Neng Wang, Jianxin Wang, Baojun Zhao
{"title":"Study on Characteristics of Partial Discharge Caused by Micro-bubble in Insulating Oil","authors":"M. Gao, Lin Ke, M. Fu, Hongbin Zhou, Lu Cai, Neng Wang, Jianxin Wang, Baojun Zhao","doi":"10.1109/AEERO52475.2021.9708212","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708212","url":null,"abstract":"In the last few decades, Bubbling phenomenon grows to be a major concern for its insulation threats in oil-immersed facilities during dynamic rating or overloading. Formed bubbles with radius from tens to hundreds um could lead to partial discharge or even serious insulation failure. However, previous studies on bubble-induced discharge in insulating oil usually focused on millimeter size bubbles. The research to date has not been able to determine the real threat of micro-bubbles of tens to hundreds um of in oil. In this paper, the characteristics of partial discharge induced by micro-bubbles were investigated. The finding is unexpected and suggests that partial discharge inception electric field strength is significantly higher than the theoretical value, which shows tiny change with variation of bubbles radius. Besides, bubble radius is a significant factor on the number of partial discharge current pulses and the apparent charge. The number of current pulses induced by a single bubble could help to reveal the interaction mechanism between bubbles and discharges. Finally, the equation associating the apparent charge and bubble radius was fitted.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"17 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":"80181841","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}
{"title":"Fault Diagnosis of High-Voltage Circuit Breaker Based on Digital Twin","authors":"Yunyi Zhu, Z. Qian, Shuai Yuan, Hao Yu","doi":"10.1109/AEERO52475.2021.9708367","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708367","url":null,"abstract":"High-voltage circuit breaker is one of the key components in the power grid, and mechanical faults often occur during long-time operation. A method based on digital twin for mechanical fault diagnosis of high-voltage circuit breaker is proposed in this paper. First, a finite element twin model is established to simulate the opening and closing operation of high-voltage circuit breaker to simulate its typical coil currents, then measured coil currents are obtained from the actual circuit breaker. Both the virtual data and measured data are utilized to train the KNN model to perform the fault diagnosis of five operation states. Experimental results show that the proposed digital twin method can simulate the operation of high-voltage circuit breaker, provide more failure types of data and can efficaciously diagnose mechanical faults with a high classification accuracy.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"10 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":"80336591","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}
Meng Cao, Chi Zhang, Q. Tang, Jin He, Xuliang Zhu, Qi Zhao
{"title":"Short-term prediction study on the development trend of free particle defects within GIS based on ARMA model","authors":"Meng Cao, Chi Zhang, Q. Tang, Jin He, Xuliang Zhu, Qi Zhao","doi":"10.1109/AEERO52475.2021.9708119","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708119","url":null,"abstract":"The prediction of the development trend of metal free particle defects is crucial to the maintenance and operation of GIS equipment, and an accurate prediction can effectively reduce the probability of GIS equipment failure. This paper proposes a short-term prediction method for the development trend of metal own particle defects based on ARMA model. Compared with the experimental data, it is found that this method can accurately achieve the prediction of the development trend of the partial discharge characteristic parameter of step mutability, and it is more difficult to predict the partial discharge characteristic parameter of nonlinear change, but the general trend of change can be basically predicted.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"30 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":"80289457","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}
{"title":"Research on Control Strategy of Servo Motor Used to Drive High Voltage Circuit Breaker","authors":"Fei Yan, Baoying He, Yu Liu, Jianying Zhong, Shengwu Tan, Dawei He, Jiayuan Xu, Rui Yang","doi":"10.1109/AEERO52475.2021.9708101","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708101","url":null,"abstract":"Motor-drive high voltage circuit breaker (HVCB) is becoming a research hotspot because of the high mechanical reliability, the controllability of the whole process of movement, and the potential to realize intelligence. However, the application in high voltage level is constrained due to the requirement of large energy output within a short period. To increase motor torque, improve torque utilization and reduce consumption of hardware resource, the simplified algorithm of maximum torque per ampere (MTPA) is proposed in this paper. For this reason, the mathematical model of permanent magnet synchronous motor (PMSM) is introduced, and the exact algorithm of MTPA and the simplified one are derived respectively. The adams/simulink co-simulation model of HVCB driven by servo motor is established and the experiment platform is built in order to verify the effectiveness of the simplified MTPA(S-MTPA),. The conclusion that the control accuracy of S-MTPA can meet the requirements of HVCB is proved by the results of simulation and experiment.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"58 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":"85160355","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}
Tianpeng He, Wenzheng Li, Xijia Du, Huina Yang, Haoxi Cong
{"title":"Garbage Classification and Recognition System Based on Neural Network","authors":"Tianpeng He, Wenzheng Li, Xijia Du, Huina Yang, Haoxi Cong","doi":"10.1109/AEERO52475.2021.9708200","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708200","url":null,"abstract":"Traditional garbage classification has many errors and consumes resources seriously, which no longer meets the current needs of garbage classification. In response to these problems, this research proposes a garbage classification model based on migration learning and the application of this model to the actually created garbage separation device. First, pre-train the ResNet50 deep network learning model on the ImageNet dataset; Secondly, transfer the underlying features shared by the edges, colors, and textures learned by the convolution module of the ResNet50 deep network model to the residual network layer of the network model for garbage classification as the initialization parameters; Then use the extracted feature map as input to train the garbage classification model; Finally, modify the fully connected layer to a four-classification problem to accurately classify the garbage. By using the improved Trashnet training set to compare the three pre-training networks, namely alexnet, googlenet and resnet50, the results show that resnet50 has a relatively good recognition accuracy. After fine-tuning the training parameters and the training set, the final verification rate is 91.42%. which basically meet the accuracy requirements of garbage classification. At the same time, this garbage sorting network is implanted into the STM32F4 single-chip microcomputer through the Raspberry Pi to obtain a rubbish sorting device that can identify garbage. The photos recorded by the camera in real time are transmitted to the single-chip microcomputer for processing to obtain the classification result. At this time, the motor starts to work so that the garbage can fall into the corresponding bucket. While reducing the consumption of human and material resources, it greatly improves the accuracy of garbage classification and provides a new method for garbage classification.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"68 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":"89193016","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}
Qiji Dai, Mingyong Xin, J. Zhu, B. Tian, Zhong Liu, Yanze Zhang
{"title":"Implementation of Current Transformer Algorithm Based on Machine Learning","authors":"Qiji Dai, Mingyong Xin, J. Zhu, B. Tian, Zhong Liu, Yanze Zhang","doi":"10.1109/AEERO52475.2021.9708138","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708138","url":null,"abstract":"With the development of the construction of “Smart Grids”, new requirements have been raised for the efficiency and accuracy of current measurement. Nowadays, current measurement system based on giant magnetoresistance effect (GMR) becomes a new research direction in related fields. The working principle of this measurement system is obtaining the measured current information indirectly by analyzing the magnetic field data, which is collected by a series of GMR magnetic field sensor array around the wire. Essentially, it is an inverse problem from magnetic field to current. At present, optimization algorithm is mainly used for this kind of inverse calculation, which, however, is difficult to balance the efficiency and accuracy of the algorithm. Thus, we propose the idea of realizing the inverse calculation by using machine learning. Based on a specific kind of circular sensor structure, we propose a neural network-based inverse calculation algorithm and verifies the feasibility of this algorithm.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"3 5 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":"89659343","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}
Jiali Chen, Ruihai Li, Zaixing Peng, Kai Liu, Shuai Zhang, H. Qian
{"title":"Research on Mechanism Design Scheme of 500kv Fast Circuit Breaker","authors":"Jiali Chen, Ruihai Li, Zaixing Peng, Kai Liu, Shuai Zhang, H. Qian","doi":"10.1109/AEERO52475.2021.9708351","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708351","url":null,"abstract":"Reducing the fault isolation time of 500kV transmission line is of great significance for enhancing the transmission capacity of transmission line and improving the security and stability of power grid. In this paper, the CTY-5/10/20 series hydraulic operating mechanism is improved. The electromagnetic repulsion mechanism is used to drive the hydraulic valve directly in the 500kV fast circuit breaker mechanism, which cancels the response time of the primary valve of the original transmission hydraulic mechanism. Finally, the action time of the mechanism is reduced to 4ms to achieve the fast response of the mechanism, and then the breaking time of the circuit breaker is reduced. Through simulation and test verification, the average opening speed of the improved 500kV fast circuit breaker mechanism can reach 10m / s, and the opening time is about 8mm.The research results of this paper accumulate experience for the future engineering application of 550kV fast AC circuit breaker in China Southern Power Grid, and provide reference for the future planning and safe and stable operation of China Southern Power Grid.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"171 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":"87598766","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}
{"title":"Research on Supporting Control Technology of Wind driven generator Auxiliary Power Grid Based on Energy Storage DC Access","authors":"Haiyuan Lian, S. Hu, Yanfeng Meng","doi":"10.1109/AEERO52475.2021.9708401","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708401","url":null,"abstract":"Under MPPT mode, It is very difficult for permanent magnet direct drive wind driven generator to respond correctly to changes in the frequency of the grid. Large-scale wind driven generators connected to the power grid will increase the frequency regulation pressure of the power system. The traditional frequency control system reserves a part of active power for frequency regulation by reducing the generating efficiency of wind driven generator, but there are also some problems such as small frequency range and frequent adjustment of pitch Angle. Therefore, this paper proposes a control method based on hybrid energy storage DC access to single wind driven generator auxiliary power grid frequency support, and designed a set of energy storage equipment and wind driven generator with complementary advantages of battery and super capacitor to respond to the power grid FM regulation wind power generation system.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"8 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":"89779685","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}
Tai-Hung Liu, Xiongjie Xie, Xiaoqing Luo, Wei Hu, Zuoming Xu, P. Yin, Qiming Ye
{"title":"Research on the Influences of Temperature on Frequency Domain Dielectric Spectroscopy of the ERIP Bushing Capacitor Core","authors":"Tai-Hung Liu, Xiongjie Xie, Xiaoqing Luo, Wei Hu, Zuoming Xu, P. Yin, Qiming Ye","doi":"10.1109/AEERO52475.2021.9708357","DOIUrl":"https://doi.org/10.1109/AEERO52475.2021.9708357","url":null,"abstract":"Epoxy resin impregnated paper (ERIP) bushing capacitor core is one of the main insulation part of the capacitance graded bushing. The insulating property of the ERIP bushing capacitor core is influenced by the temperature in the actual operation environmental. In order to explore the influence of temperature on frequency dielectric response of the ERIP bushing capacitor core, the frequency domain dielectric spectroscopy (FDS) is utilized for ERIP bushing capacitor core at different temperature, then a double relaxation Debye model is proposed in the paper. Firstly, the temperature experiment of ERIP bushing capacitor core is carried out, and the FDS test is performed on the bushing core at 20°C, 40°C, 60°C, 80°C and 100°C, respectively. Secondly, the FDS spectrum of the dielectric loss factor (tanδ) and the real and imaginary parts of the complex capacitance are plotted at different temperature. Finally, the influences of temperature on FDS test of ERIP bushing capacitor core are analyzed based on a double relaxation Debye model. The test results and analysis indicated that the entire spectrum of tanδ, the imaginary part of the complex capacitance are shown to shift toward the positive vertical direction and move to the high frequency. A good fitness result is obtained by the double relaxation Debye model, and the degree of fit on the data exceeds 90%. The high-frequency dielectric constant, interfacial polarization loss and dipole polarization loss can be made up for the real part of the complex capacitance. These conclusions can provide a mathematical model for the ERIP bushing capacitor core, which will be supportive for ageing state of bushing core insulation.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"58 4 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":"90372938","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}