2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)最新文献_第6页

DC Micro-grid with loads switching control in off-grid rural households 离网农户负荷切换控制的直流微电网

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719290

Jairos I. Kagoma

{"title":"DC Micro-grid with loads switching control in off-grid rural households","authors":"Jairos I. Kagoma","doi":"10.1109/ICPECA53709.2022.9719290","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719290","url":null,"abstract":"A DC micro-grid with an autonomous load switching system is proposed in this paper to promote the pace of supplying electrical power in off-grid rural areas. The design includes a PV array as the primary renewable energy (RE) source and a battery energy storage system (BESS) for micro-grid reliability. The system operates in an islanding mode, in which the loads are supplied by the solar PV arrays and energy storage system only, with no utility grid connection. The batteries in a micro-grid are charged from the main DC bus line through the buck-boost converter. Both the PV array and the battery energy storage system are connected to the DC bus line through the voltage source converters (VSC). The AC loads are connected to a micro-grid through electromagnetic switches, which are controlled by a microcontroller chip to maintain the safety and stability of the micro-grid. The voltage and current sensors are used to sense a power line of a connected household, signals uploaded in a microcontroller, then switches are actuated to connect or disconnect the line based on the power consumption sensed. The controllers in the design, modify the duty cycle of the converters to adjust the output power of the micro-grid to the maximum point. An increment and conductance (IC) maximum power point tracking (MPPT) technique is used in a PV array to control the operation of the converter. The PI controller is used in the buck-boost converter of the energy storage system with a reference voltage of 375 VDC. The simulation result shows that regardless of PV system voltage fluctuation due to solar irradiation, the controller maintains constant DC bus line voltage. Suitable tuning of P and I values is applied in the PI controller of the DC/AC inverter to generate the proper AC voltage output for the loads.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132543932","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

Research on Power Grid Infrastructure Project Intelligent Management Platform Based on Digital Twin Technology 基于数字孪生技术的电网基础设施工程智能管理平台研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719275

Li Ma, Li Zhou, Xuefei Zhang, Chuanyu Xiong, Xiaohong Liao, Lipin Sun

引用次数: 0

Insulator image data enhancement based on BIG-GAN 基于BIG-GAN的绝缘子图像数据增强

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719111

Chen Liang, Liu Yaohong, Cao Gang, Xu Tong, Yi Wei

引用次数: 0

Electromagnetic Field Tests in the Anechoic Chamber Based on the Shared Tower Scale Model 基于共享塔比例模型的暗室电磁场测试

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719114

Zeyang Tang, Fei Yu, Wei Rao, Su Lv, Yibo Cui, Wenshuo Wang

引用次数: 0

Research on Automatic Recognition System of Abnormal Behavior of Big Data Technology Distribution Network 大数据技术配电网异常行为自动识别系统研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719186

Tao Huang, Q. Zhang, Ziqiang Wang, Yanwei Chen, Wei Wang

{"title":"Research on Automatic Recognition System of Abnormal Behavior of Big Data Technology Distribution Network","authors":"Tao Huang, Q. Zhang, Ziqiang Wang, Yanwei Chen, Wei Wang","doi":"10.1109/ICPECA53709.2022.9719186","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719186","url":null,"abstract":"At present, the identification of abnormal power consumption behaviors in low- and medium-sized distribution networks has problems such as low efficiency and low accuracy. For this reason, we need to apply big data mining technology to a large amount of electricity consumption data to realize the location of abnormal behavior. Based on this research background, the article proposes an abnormal power consumption recognition model based on the improved K-means algorithm. The model classifies user load curves, extracts characteristic curves and analyzes typical characteristics of their electricity consumption behavior. In this way, the abnormal behavior of electricity consumption in the distribution network is identified. Through experimental analysis, it is found that the optimized K-means clustering algorithm can accurately realize the classification and recognition function of different user types. At the same time, the algorithm can more accurately and effectively analyze the abnormal behavior of users’ electricity consumption.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614434","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 the development of computer simulation technology in the context of blockchain 区块链背景下计算机仿真技术的发展研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9718980

Mengdi Zhai

{"title":"Research on the development of computer simulation technology in the context of blockchain","authors":"Mengdi Zhai","doi":"10.1109/ICPECA53709.2022.9718980","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9718980","url":null,"abstract":"Block chain is, along with the rising popularity of digital encryption currency such as COINS and gradually rise a new decentralized architecture and distributed computing paradigm, decentralization, time-series data, collective maintenance and programmable and safety reliable, has caused the government departments, financial institutions, science and technology enterprises and capital market attaches great importance and wide public concern. As the world accelerates into the “blockchain economic era”, blockchain technology has shown a spurt of growth. As a disruptive underlying technology, it has been continuously applied in various industries and attracted more and more heed from all over the world. Blockchain + simulation industry has also become a new trend in the development of simulation technology. By deconstructing the core elements of blockchain, this paper puts forward the infrastructure model of blockchain system, expounds and analyzes what blockchain is, the blockchain’s development tendency, their relationship between blockchain and virtual simulation, and gives examples for analysis.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115409628","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

Research on Automatic Screening Algorithm of Electric Power Image Recognition Data Based on Artificial Intelligence 基于人工智能的电力图像识别数据自动筛选算法研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719096

Gang Cao, Yaohong Liu, Liang Chen, Tong Xu, Ting Yu, Sixu Yang, Yu Zhang, Yi Hu

引用次数: 0

Research on the Application of Double-end Constraint Algorithm on Fully Mechanized Mining Face 双端约束算法在综采工作面中的应用研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719067

Peng Jiguo, Zhang Jinhong, Zhang Bo, Lu Feng, Sun Lingfei

{"title":"Research on the Application of Double-end Constraint Algorithm on Fully Mechanized Mining Face","authors":"Peng Jiguo, Zhang Jinhong, Zhang Bo, Lu Feng, Sun Lingfei","doi":"10.1109/ICPECA53709.2022.9719067","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719067","url":null,"abstract":"This paper studies the precise measurement method of the trajectory of the shearer in a fully mechanized coal mining face, and designs a multi-source information fusion system based on inertial measurement technology, dead reckoning technology and visual measurement technology. First of all, the conversion from the 2000 national coordinate system used in the survey to the independent coordinate system of the fully mechanized mining face and the division of the mining area is discussed. Based on this, the regional coordinate system covering the operational trajectory of the shearer is constructed. Compared with traditional coal mining, the value scope is expanded. Then combined with the characteristics of the environment in the pit, the active cooperative target vision measurement system was selected to realize the precise capture of the control points. Aiming at the characteristics of the divergence of inertial errors, a double-end constraint algorithm based on the control points was proposed, and field verification was conducted on the railway track. Under the condition of an error of 0.02m, the trajectory measurement accuracy is better than 0.05m. Finally, the actual measurement results of the shearer trajectory are given. The verification results show that the system can accurately measure the operation trajectory of the shearer after being used in a fully mechanized mining face, which provides a basis for the mining of thin coal seams and the correction of triangular coal areas.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428939","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 Brain Glioma Segmentation Algorithm 脑胶质瘤分割算法研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719156

Shiqiang Zhang, Lei Shi, Xiaodong Cheng

{"title":"Research on Brain Glioma Segmentation Algorithm","authors":"Shiqiang Zhang, Lei Shi, Xiaodong Cheng","doi":"10.1109/ICPECA53709.2022.9719156","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719156","url":null,"abstract":"Due to the complexity of the imaging technology of medical imaging and the high heterogeneity of the surface of gliomas, image segmentation of human brain gliomas is one of the most challenging tasks in medical image analysis. This paper improves the UNet++ medical image segmentation network, in the down-sampling stage of the decoder, crosschannel fusion is carried out and deep supervision is introduced, at this time, the improved network can fuse coarsegrained semantics and fine-grained semantics at full scale. Experiments were performed on 335 images in the public BraTS brain tumor segmentation data set, using 2D and 3D comparative segmentation experiments to comprehensively evaluate the segmentation performance of the improved network, and compare the segmentation results with the results of UNet, UNet++, and UNet3 medical image segmentation networks. Among the four indicators of Dice Similarity Coefficient (DSC), 95% Hausdorff surface distance(HSD95), Sensitivity, and Positive Predictive Value (PPV), 2D contrast segmentation is achieved the mean values of the indicators are: 83.70%, 1.7, 88.40%, 84.96%; the mean values of the 3D contrast segmentation experiment are: 90.79%, 0.242, 91.23%, 91.06%. Compared with the segmentation result indicators of the other three networks, in the 2D comparison experiment, DSC increased by 1.82% on average, HSD95 decreased by 0.35 on average, Sensitivity increased by 2.13% on average, and PPV increased by 0.80% on average; in the 3D comparison experiment, DSC increased by 2.78% on average, HSD95 decreased by 0.076 on average, Sensitivity increased by 3.81% on average, and PPV increased by 0.68% on average. The experiments show that the improved algorithm makes the segmentation result of glioma and the gold standard overlap more in the region, and can better complete the segmentation of glioma. In clinical applications, it can help neurosurgeons to effectively separate brain tumors and tissues around the human brain, and achieve rapid computer diagnosis and treatment.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123734317","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

Failure Analysis of IGBT Bonding Wire Based on Multi-physics Coupling 基于多物理场耦合的IGBT焊线失效分析

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719316

Zhenlei Li, Jincong Wang

{"title":"Failure Analysis of IGBT Bonding Wire Based on Multi-physics Coupling","authors":"Zhenlei Li, Jincong Wang","doi":"10.1109/ICPECA53709.2022.9719316","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719316","url":null,"abstract":"As the core device of the power converter, IGBT modules is prone to aging failure failures. Mastering the failure mechanism and failure effect of IGBT modules is the basis for ensuring its reliable operation. Based on the analysis of the failure mechanism and multi-physical layer coupling of the IGBT module, this paper establishes the electric-thermal-force multi-physics coupling model of the IGBT module through ANSYS software, and studies the failure of the IGBT module bonding wire. Through the simulation analysis of the temperature distribution and thermal stress changes of the IGBT modules bonding wire under steady-state heat transfer and power cycling conditions, it is concluded that the bonding wire bears the greatest temperature and stress at the point where it is bonded to the chip; long-term stress fluctuations can easily lead to fatigue accumulation damage and bond fall failure; once the IGBT module has a bonding wire falling off failure, it will cause the temperature of the remaining bonding wire to increase, and the stress it bears will increase, thereby which accelerates the process of the remaining bonding wire falling off and accelerates the aging failure of the IGBT module.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123145299","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