2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献

Safety Helmet Detection Dynamic Model Based on the Critical Area Attention Mechanism 基于临界区域注意机制的安全帽检测动态模型

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783764

Yao Nan, Qin Jian-Hua, Wang Zhen, Wang Hong-Chang

{"title":"Safety Helmet Detection Dynamic Model Based on the Critical Area Attention Mechanism","authors":"Yao Nan, Qin Jian-Hua, Wang Zhen, Wang Hong-Chang","doi":"10.1109/ACPEE53904.2022.9783764","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783764","url":null,"abstract":"In the substation monitoring environment, monitoring the helmet wearing of workers is an important approach to ensure safety. Because the helmet size in entire surveillance images is often small and the characteristic information is unclear, existing target detection algorithms present the problem of missed detection and omission. A safety helmet detection dynamic model based on the critical area attention mechanism first detected the human target in the image, and then, locked the human head area through the critical area attention mechanism network. Finally, the feature map of the critical areas of the head was up-sampled many times to increase the proportion of the helmet area in the image to highlight the characteristic information of the helmet in the image. The algorithm used the dynamic model method to match the optimum up-sampling times for the helmets of different scales, which improved the recognition speed of the algorithm while ensuring the recognition accuracy. The experimental results showed that the recognition rate of algorithm for helmets was 92.68%, which is considerably higher than that of other target detection algorithms in the same field.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115392879","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

Fast Probabilistic TTC Assessment Based on Copula Theory and Deep Ensemble Learning 基于Copula理论和深度集成学习的快速概率TTC评估

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783751

Shaopeng Zhang, Jiongcheng Yan, Xin Li, Dong Yang, Huan Ma, Changgang Li

引用次数: 0

Study On Small Disturbance Characteristics Of Ac Side Of Grid-connected VSC 并网VSC交流侧小扰动特性研究

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783997

Runze Bai, Yuanxin Zhang, Zehong Yu, Yongqiang Zhu

引用次数: 0

Orderly charging of electric vehicles considering new energy consumption and system peak-to-valley differences 考虑新能源消耗和系统峰谷差异的电动汽车有序充电

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9784024

Chen Yiyao, Xue Yingnan, Wu Yingying, Liang Yaojun, Wang Qianchun, Duan Xinhui

{"title":"Orderly charging of electric vehicles considering new energy consumption and system peak-to-valley differences","authors":"Chen Yiyao, Xue Yingnan, Wu Yingying, Liang Yaojun, Wang Qianchun, Duan Xinhui","doi":"10.1109/ACPEE53904.2022.9784024","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784024","url":null,"abstract":"Electric vehicles as controllable loads connected to the grid can improve the utilization of wind and PV and thus reduce the amount of renewable energy curtailment, but if they are not regulated, they can cause harm to the operation of the grid. This article adopts an algorithm called cuckoo search which has global convergence is used to perform a two-stage optimization of the system load. In the first stage, the amount of wind and solar power curtailment is optimized, and it is obvious that the amount of new energy consumption increases from 5423kW to 5842kW, but the power consumption in peak hours increases significantly, forming a phenomenon of \"peaking on peak\". Compared with the first stage, the peak load curve is smoothed out during the second stage and the valley load curve is filled, and the difference between the highest and lowest value of the electricity load is reduced from 254 kW to 198 kW. The results show that this optimization method not only increases the amount of new energy consumption, but also stabilizes the load fluctuations in order to mitigate the impact of large-scale electric vehicle charging on the electric grid.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117345530","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

A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints 具有凸型交流潮流约束的多区域机组承诺并联分散解

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783909

Zitong Wang, Gengfeng Li, Yao Xiao, Shunyu Tang, Mengjie Teng

{"title":"A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints","authors":"Zitong Wang, Gengfeng Li, Yao Xiao, Shunyu Tang, Mengjie Teng","doi":"10.1109/ACPEE53904.2022.9783909","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783909","url":null,"abstract":"Scheduling a multi-regional unit commitment is an efficient way to operate the power system economically. The conventional unit commitment models, which adopts the DC power flow, fail to take the network loss and voltage drop constraints into account. This paper proposes a novel AC power flow model to fill this gap. The proposed model first achieves convexity by decomposing the nonlinear part of the network loss into the voltage amplitude part and the phase angle part, and then is formulated into two sets of linear inequalities. After that, this paper integrates it into a multi-regional unit commitment. Considering the independence and parallelism of operation between regions, the established unit commitment is solved via a parallel decentralized solution, where the simplicial decomposition method (SDM), the nonlinear block Gauss-Seidel (GS) method, and the augmented Lagrangian method (ALM) (abbreviated as SDM-GS-ALM) are integrated. Finally, the efficiency and applicability of the multi-regional unit commitment with convex AC power flow constraints are verified on IEEE Test Systems.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125846733","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

Parameter analysis and experimental verification of dynamic vibration absorption design for transformer tank wall 变压器罐壁动态减振设计参数分析与实验验证

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9784027

Bin Wang, Hong Zhang, M. Cao, Zhijie Qian, Dongcheng Zhou

{"title":"Parameter analysis and experimental verification of dynamic vibration absorption design for transformer tank wall","authors":"Bin Wang, Hong Zhang, M. Cao, Zhijie Qian, Dongcheng Zhou","doi":"10.1109/ACPEE53904.2022.9784027","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784027","url":null,"abstract":"Distribution transformer goes deep into the load center, and its vibration and noise problems are becoming more and more prominent. Taking a distribution transformer as object of study, firstly, the vibration analysis model of transformer tank is established, the analysis of oil tank vibration mode is carried out, and obtain the vibration modes of transformer oil tank with different thickness. Secondly, combined with the characteristics of distribution transformer tank wall vibration and vibration source, the design parameters of transformer tank wall vibration absorption are analyzed; Finally, the vibration and noise test of transformer with or without vibration absorber under rated voltage is carried out on the test transformer. The research shows that the vibration mode frequency of transformer oil tank increases linearly with the thickness of tank wall. Blindly increasing the wall thickness will significantly increase the frequency of tank wall, resulting in the same frequency resonance between tank wall and vibration source. Setting single and multiple vibration absorbers on the tank wall can effectively reduce the vibration acceleration of transformer tank wall, but multiple vibration absorber systems are more sensitive to the design parameters. Therefore, Reasonably setting the design stiffness and design quality of the vibration absorber is the key to ensure the function of the tank wall vibration absorber. By adopting a reasonable design scheme, the average vibration reduction on the surface of the oil tank can exceed 20dB. The above research has a good reference for the vibration and noise control of transformer tank wall.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126746003","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

Fault diagnosis method of distribution transformer based on improved deep learning 基于改进深度学习的配电变压器故障诊断方法

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783871

Yunfeng Liu, Mengnan Li, Yi-Min Peng, Hongshan Zhao

引用次数: 0

Research on Influencing Factors of Distribution Network Overhaul without Power Interruption Based on Analytic Hierarchy Process 基于层次分析法的配电网无中断检修影响因素研究

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783832

Ai Maomin, An Junwei, Sun Congcong, Wang Qingze, Zhang Shouqiang, Zhang Jiaming

引用次数: 0

Design of Magnetic Barrier Angle of Permanent Magnet Assisted Synchronous Reluctance Motor Based on Minimum Torque Ripple 基于最小转矩脉动的永磁辅助同步磁阻电机磁障角设计

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783897

Wu Zhequan, Yin Dejun, Chen Lujun, Fu Jia

引用次数: 1

Independent and controllable security container substation equipment condition monitoring method based on cloud edge cooperation 基于云边缘协作的自主可控安全集装箱变电站设备状态监测方法

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783815

Yingwei Zhu, Dong Liu, Yinqiang Huang, Lixiang Ruan

引用次数: 0