2022 IEEE 5th International Conference on Electronics Technology (ICET)最新文献_第10页

Using Convolutional Neural Network for Fault Identification and Location in a Power System 卷积神经网络在电力系统故障识别与定位中的应用

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824851

Sheng-Kuan Wang, Chin Chang, V. Shen

{"title":"Using Convolutional Neural Network for Fault Identification and Location in a Power System","authors":"Sheng-Kuan Wang, Chin Chang, V. Shen","doi":"10.1109/icet55676.2022.9824851","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824851","url":null,"abstract":"In this work, Convolutional Neural Network (CNN) is applied to the fault identification and location in a small power system. The phasor measurement units are assumed installation on all load buses to measure the bus voltage magnitudes and the active powers of the transmission lines in the time domain. Those records of the measured values are used as the input data of CNN, and these records are split into the training and testing groups. A4-machine 8-bus power system is used to evaluate the performances of CNN in this work. Three fault types of three-phase fault, single line to ground fault, and line break fault are simulated in the power system for evaluating the CNN-based identifying ability of the fault type. Two major fault scenarios of the single fault and two different faults occurrence at the same time are simulated for training CNN model. The accuracy rate of the fault identification is used to evaluate the performance of the proposed method in this paper. The simulation results have shown that the accuracy rate is 100% when all records are in the training group. The accuracy rate for the other cases is above 80%.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"37 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132624557","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

A Real-Time Data Acquisition System for Coherent Lidar 相干激光雷达实时数据采集系统

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824650

Baolin Chen, Ge Jin, Lian Chen

引用次数: 0

Unit Commitment Considering Inertia Supply of Both Source and Demand Sides 考虑源端和需求端惯性供给的单位承诺

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824210

Zhaohui Li, Jianqin Liu, Siwei Liu, Zun Guo, M. Zhou

{"title":"Unit Commitment Considering Inertia Supply of Both Source and Demand Sides","authors":"Zhaohui Li, Jianqin Liu, Siwei Liu, Zun Guo, M. Zhou","doi":"10.1109/icet55676.2022.9824210","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824210","url":null,"abstract":"With the large-scale access of new energy to the power system, the system inertia continues to decline. The frequency security problem caused by insufficient system inertia seriously threatens the safe operation of the system. Therefore, inertia demand and inertia supply capacity need to be considered when making dispatching plans. However, the inertia supply capacity of demand side has not been fully investigated. In this context, this paper first establishes the inertia supply capacity model of both source and demand sides. On the source side, the inertia supply capacity of synchronous generators and wind turbine virtual synchronous machines(VSM) is considered comprehensively; on the demand side, a new evaluation method for inertia is proposed to find the inertia supply capacity of load. Then, based on the system dynamic frequency response, the inertia demand constraints based on the rate of change of frequency(RoCoF) and the frequency nadir are constructed. Finally, a unit commitment(UC) model considering inertia demand constraints is established, and the established model is tested in the modified IEEE-39 system. The results verify the effectiveness of the proposed inertia evaluation method; the proposed UC model can effectively improve the economy of the dispatching scheme while ensuring the system frequency safety.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130627966","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 Power Allocation in Cell-free Massive MIMO with Spatial Correlation and Access Points Selection 基于空间相关和接入点选择的无小区大规模MIMO功率分配

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824132

Xingyu He, Yang Liu

{"title":"The Power Allocation in Cell-free Massive MIMO with Spatial Correlation and Access Points Selection","authors":"Xingyu He, Yang Liu","doi":"10.1109/icet55676.2022.9824132","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824132","url":null,"abstract":"In this paper, we propose two power allocations in the downlink of cell-free massive multiple-input multiple-output (MIMO) system with spatial correlation channel and access points (APs) selection. two power allocations are mainly to solve two fundamental problems, namely (i) to maximize the sum of spectral efficiency (max), and (ii) maximize the minimum spectral efficiency (max-min). We study the max and max-min problems based on closed expressions for maximum ratio transmission (MRT) precoding, analyze the constraints under the transmission power constraints, and establish the maximum and minimum objective functions based on the constraints. In the solution of max nonconvex problem, firstly, it is transformed into the equivalent problem of minimum weighted minimum mean square error (MMSE) to be solved. In the max-min nonconvex problem, second-order cone programming is formed by relaxed expression, and the bisection method help us to solve the max-min nonconvex problem. We show that max power allocation can get higher sum of spectral efficiency (SE), while max-min one reduces the spectral efficiency gap between system users and makes services fairer.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125354870","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

A Double gm Stages Up-Conversion CMOS Mixer for Ka-Band Applications 用于ka波段应用的双gm级上转换CMOS混频器

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825400

Tong Lingyun, Zhao Minghua

引用次数: 0

Research on Tanks Combat Automatic Decision Using Multi-agent A2C Algorithm 基于多智能体A2C算法的坦克战斗自动决策研究

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824741

Haoluo Jin

引用次数: 0

The First-Degree Stochastic Dominance Rule of Comparing Pattern Recognition Algorithms with Accuracy Metric 模式识别算法与精度度量比较的一阶随机优势法则

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824473

Jun He, Rui-Gang Fu

{"title":"The First-Degree Stochastic Dominance Rule of Comparing Pattern Recognition Algorithms with Accuracy Metric","authors":"Jun He, Rui-Gang Fu","doi":"10.1109/icet55676.2022.9824473","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824473","url":null,"abstract":"Accuracy of pattern recognition algorithm is an uncertain metric and should be transformed to utility value for better understanding of the performance of recognition algorithm. According to the uncertainty of accuracy and its utility transforming demands, we use stochastic dominance to compare two recognition algorithms. The first-degree dominance (FSD) rule is checked and proved to be unaffected by any non-diminishing utility transformation. The sufficient and necessary condition of the FSD rule is not always satisfied in the whole value range of accuracy, so we analyze its establishing condition firstly. The existing scope of the FSD rule is given by explicit expression and then some simplified cases are discussed. Both theorical analysis and numerical examples show that the FSD rule can be applied directly in the conditions of using the same test set to compare two recognition algorithms. While in the other conditions of using different test sets, the FSD rule is still useful in most cases. The FSD rule gives us much flexibility in preparing test data and more confidence about the comparison results.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114388591","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

Typical Commercial User Adjustable Potential Assessment Method 典型商业用户可调潜力评估方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824448

Yu Ming, Bin Li, Ke Chen, Weidong Wang, Yajie Wu

引用次数: 2

Research on Load Forecasting Based on CNN-LSTM Hybrid Deep Learning Model 基于CNN-LSTM混合深度学习模型的负荷预测研究

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824615

Fang Xu, Guoqing Weng, Qingquan Ye, Qinqin Xia

引用次数: 1

Design of a Dual Polarized Ku-Band Small Reflector Antenna with Low Sidelobe 低旁瓣双极化ku波段小反射面天线的设计

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825443

Pei Qian, Jianmin Zhang, Botao Ye

引用次数: 0