2023 IEEE 6th International Electrical and Energy Conference (CIEEC)最新文献_第5页

Enhanced dielectrical and mechanical properties of polypropylene/ poly (vinylidene fluoride) blends with chlorinated polyethylene 氯化聚乙烯增强聚丙烯/聚偏氟乙烯共混物的介电性能和机械性能

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167094

C. Li, Jiang Wang, Guliang Fu

引用次数: 0

A Novel Common-Ground Nine-Level Quadruple Boost Inverter Based on Switched-Capacitor 一种基于开关电容的新型共地九电平四倍升压逆变器

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10165833

Boyuan Liu, Guohua Zhou, Nengmou Xu

引用次数: 0

Deep Belief Network-Based Anomaly Recognition Method of Power Supply Service Work Orders 基于深度信念网络的供电工单异常识别方法

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10165870

Weitao Tan, Ruiqian Zhu, Zhenyuan Zhong, Yifan Zhang, Dewei Ji, Zhian Lin, Zhenzhi Lin, Weiqiang Qiu

{"title":"Deep Belief Network-Based Anomaly Recognition Method of Power Supply Service Work Orders","authors":"Weitao Tan, Ruiqian Zhu, Zhenyuan Zhong, Yifan Zhang, Dewei Ji, Zhian Lin, Zhenzhi Lin, Weiqiang Qiu","doi":"10.1109/CIEEC58067.2023.10165870","DOIUrl":"https://doi.org/10.1109/CIEEC58067.2023.10165870","url":null,"abstract":"The recognition of abnormal data from the power supply service work orders is a key issue to improve the processing efficiency of power supply work orders as well as the quality of power supply services. However, the existing abnormal work orders recognition mainly relies on manual screening methods, and the efficiency and accuracy of recognition depend on expert experience. Given this background, an anomaly recognition method of power supply service work orders based on deep belief network is proposed. First, a pre-processing method for power supply work orders based on non-negative matrix factorization (NMF) is proposed to implement initial recognition of abnormal work orders from historical data, and reduce noise impact during the collection process of work orders. Second, with the crucial factors and characteristics that affect the number of power supply work orders considered, the multi-dimensional feature-based anomaly characteristic indices of work orders are presented to reflect features of abnormal work orders comprehensively. Then, an anomaly recognition model of power supply work orders based on deep belief network (DBN) is constructed. Finally, case studies on actual power supply work orders of power supply company in Zhejiang province, China are performed for verifying the effectiveness of the proposed method. The results show that the proposed method can accurately and efficiently recognize abnormal work orders.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121231023","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

Influence of Voltage Frequency and Filler Content on Breakdown Characteristics of Epoxy Resin 电压频率和填料含量对环氧树脂击穿特性的影响

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166474

Haowei Xu, Qinhao Bu, Xingyu Shang, Qiaogen Zhang

引用次数: 0

Research on Regenerative Braking Energy Feedback Control of Rail Transit using Linear Flux Switching Permanent Motor 基于线性磁通开关永磁电机的轨道交通再生制动能量反馈控制研究

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167090

Weiming Zhang, R. Cao

引用次数: 0

Sensorless Control and Inductance Parameter Identification of PMSM Based on Two-Orientation High-Fequency Square Wave Injection 基于双向高频方波注入的永磁同步电机无传感器控制及电感参数辨识

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166793

Haowen Zheng, Jiarui Hao, Ming Zha, Zirui Liu, Wubin Kong

引用次数: 0

Research on combined shielding layer and transmission efficiency of wireless charging system for EVs 电动汽车无线充电系统组合屏蔽层及传输效率研究

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10165932

Yuan Li, Zhongying Tian, Lihua Zhu

{"title":"Research on combined shielding layer and transmission efficiency of wireless charging system for EVs","authors":"Yuan Li, Zhongying Tian, Lihua Zhu","doi":"10.1109/CIEEC58067.2023.10165932","DOIUrl":"https://doi.org/10.1109/CIEEC58067.2023.10165932","url":null,"abstract":"The ferrite core plays an essential role in coupling enhancement and magnetic shielding for the wireless power transfer (WPT) of electric vehicles (EVs). However, with the charging power level rises, the single-layer ferrite acts as an electromagnetic shielding device for the system. Its working effect during the charging process is not in meeting the shielding requirements. In this paper, a composite shield consisting of ferrite and ultra-thin silicon steel (UTSS) is proposed, taking advantage of the excellent electromagnetic properties as well as the mechanical properties of UTSS. A numerical model was developed to compare and analyse the static parameters of the coil, the transmission efficiency of the system and the shielding effect when different shielding layers are added. Verification of the feasibility and advantages of composite shields. The final shield was fabricated and an experimental platform was built to verify it. Numerical calculations and experimental results show that the transmission efficiency of the composite shield can reach 92.25%, an improvement of 7.96% compared to the unshielded case. The structure also significantly suppresses electromagnetic field leakage, the maximum value of the field differs by 88.41% compared to unshielded.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114784490","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 a Permanent Magnet Assistant Synchronous Machine with Torque Improvement 转矩改进型永磁辅助同步电机的设计

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167304

Qinglin Zhou, Ya Li, Shichuan Ding, J. Hang, Wei Li

引用次数: 0

Design Of Isolated Gate Driver For Low Power Energy Harvesting 用于低功耗能量采集的隔离栅驱动器设计

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167242

Shaonan Chen, Jing Xiao, Liwen Qin, Xiaoyong Yu, Wenlan Gong, Xiaorui Wu

引用次数: 0

Distribution network state awareness and risk prediction based on ELM algorithm 基于ELM算法的配电网状态感知与风险预测

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166577

Jialin Yu, Chun Li, Dajian Wang, Jie Xu

{"title":"Distribution network state awareness and risk prediction based on ELM algorithm","authors":"Jialin Yu, Chun Li, Dajian Wang, Jie Xu","doi":"10.1109/CIEEC58067.2023.10166577","DOIUrl":"https://doi.org/10.1109/CIEEC58067.2023.10166577","url":null,"abstract":"At present, with the continuous access of photovoltaic, energy storage and charging piles, the distribution network field is facing a comprehensive transformation of digitalization, informatization and networking. However, the existing distribution network lacks the ability of comprehensive analysis and risk prediction of the overall operation of the distribution network. In this paper, the security situation of the distribution network information energy network is studied from two aspects: multi-source spatial-temporal data fusion and situation risk prediction. First, the artificial fish swarm algorithm (AFSA) is used to optimize the limit learning machine (ELM) to spatial-temporal fusion the equipment information and access energy parameters of the flexible resource access point in the distribution network line, and the risk pattern recognition method of AFSA-ELM multi-classification curve analysis is constructed; Secondly, the parameters obtained from AFSA-ELM algorithm network are converted into information utility values., and the risk values of distribution network risk points obtained from AFSA-ELM are quantified to obtain the coordinates of actual risk points; Then, the Autoregressive Integrated Moving Average model(ARIMA) time series prediction algorithm is used to predict the risk change process of the risk points and reconfirm the situation of the risk points; Finally, the model is verified to have good evaluation and prediction effect by using the data collected from the power grid.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053611","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