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2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)最新文献

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SPIES 2021 Index 间谍2021指数
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/spies52282.2021.9633921
{"title":"SPIES 2021 Index","authors":"","doi":"10.1109/spies52282.2021.9633921","DOIUrl":"https://doi.org/10.1109/spies52282.2021.9633921","url":null,"abstract":"","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"121 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120920622","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 Novel Partial Discharge Detection Algorithm in Power Transmission Lines Based on Deep Learning 一种基于深度学习的输电线路局部放电检测算法
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633848
Benxiang Ding, Hongwei Zhu
{"title":"A Novel Partial Discharge Detection Algorithm in Power Transmission Lines Based on Deep Learning","authors":"Benxiang Ding, Hongwei Zhu","doi":"10.1109/SPIES52282.2021.9633848","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633848","url":null,"abstract":"The insulation condition of the power transmission line directly affects whether the power system can operate safely. Partial discharge (PD) is one of the main reasons for the deterioration of power line insulation. Therefore, the partial discharge detection of power transmission lines is of great significance. However, partial discharge detection is not easy to achieve for many other sources of noise could be falsely attributed to PD. Here we propose a novel altorithm based on deep learning model. We make an attempt to combine LSTM with textCNN to improve the performance of partial discharge detection. The algorithm mainly includes signal denoising processing, feature extraction, and then inferring whether there is a partial discharge phenomenon in the circuit through a deep learning model. Experimental results show that the proposed method can effectively detect partial discharges and has excellent performance.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125715167","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
SPIES 2021 Preface 间谍2021
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/spies52282.2021.9633815
{"title":"SPIES 2021 Preface","authors":"","doi":"10.1109/spies52282.2021.9633815","DOIUrl":"https://doi.org/10.1109/spies52282.2021.9633815","url":null,"abstract":"","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132309330","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 Transformer Winding State Identification Method Based on Frequency Domain Analysis and Multi-field Coupling 基于频域分析和多场耦合的变压器绕组状态识别方法研究
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633890
Yongteng Jing, Chang-jiang Wang, Xiwen Wang, Yan Li, Dongxue Li, Q. Ma
{"title":"Research on Transformer Winding State Identification Method Based on Frequency Domain Analysis and Multi-field Coupling","authors":"Yongteng Jing, Chang-jiang Wang, Xiwen Wang, Yan Li, Dongxue Li, Q. Ma","doi":"10.1109/SPIES52282.2021.9633890","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633890","url":null,"abstract":"Aiming at the difficulties in data acquisition and low accuracy of online monitoring of power transformers, this paper proposes a method for identifying the state of transformer windings based on frequency domain decomposition and multi-field coupling to achieve online detection of windings. Firstly, the vibration winding model is analyzed by the method of multi-physics coupling, and the axial vibration distribution is obtained. Secondly, feature extraction and data analysis of vibration signals are carried out through frequency domain decomposition, and finally, the online identification of transformer winding faults is realized through probabilistic neural network learning and classification. The model was verified on a transformer model prototype with a capacity of SOOKVA. The calculated value is in good agreement with the experimental value, which verifies the accuracy and effectiveness of the proposed method.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811768","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 Novel Modularized Battery Charging and Balancing System 一种新型模块化电池充电平衡系统
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633813
Zhenqun Huang, Shiyan Yang, Shaochen Wang, Wei Yang, Zhao Li
{"title":"A Novel Modularized Battery Charging and Balancing System","authors":"Zhenqun Huang, Shiyan Yang, Shaochen Wang, Wei Yang, Zhao Li","doi":"10.1109/SPIES52282.2021.9633813","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633813","url":null,"abstract":"This paper proposes a novel distributed battery charging system and modularized balancing circuit for each battery pack connected in series. The distributed charging system is composed of modularized dc/dc converters and their corresponding battery packs. Phase shift control is adopted for the full bridge converter to achieve zero-voltage switching. The proposed balancing circuit can construct direct equalization path between cells or strings in Buck-Boost or flyback mode and the equivalent circuit model is established. Effects of unit voltages and a balancing strategy are discussed on this basis. Experimental results of a converter and an active balancing circuit module respectively revealed satisfactory performance, which verifies feasibility of implementation of the distributed charging system.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124048295","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
Method for Cluster Partition of Distributed Generation Considering Flexible Supply and Demand Balance and Response Speed 考虑灵活供需平衡和响应速度的分布式发电集群划分方法
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633798
Jingjing Zhao, Jiongda Zhu, Ran Jia, Shuai Liu, Chang Ye
{"title":"Method for Cluster Partition of Distributed Generation Considering Flexible Supply and Demand Balance and Response Speed","authors":"Jingjing Zhao, Jiongda Zhu, Ran Jia, Shuai Liu, Chang Ye","doi":"10.1109/SPIES52282.2021.9633798","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633798","url":null,"abstract":"Under the circumstances of the massive scale DG(Distributed Generation) accessed to the power grid, unprecedented challenges to peak and frequency regulation of the power system are brought up. With the purpose of improving the ability of DG to participate in frequency control of power grid, a cluster partitioning method of DG cluster considering the balance of supply and demand of flexibility and response speed is proposed. First, the impact of wind and solar power on the load is analyzed, and the ability of DG and loads in the cluster to provide flexibility for the system is studied; second, a comprehensive index combining the supply-demand balance index, response speed index and modularity index is proposed and the GA(Genetic Algorithm) is used to divide the DG clusters; finally, to proof the effectiveness, the proposed clustering method were applicated to the IEEE33 bus system.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126425505","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
Active Power Filter in Linear Systems for Power Factor Correction 线性系统中用于功率因数校正的有源电力滤波器
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633893
Panapat Thananukul, Yuttana Kamsuwan
{"title":"Active Power Filter in Linear Systems for Power Factor Correction","authors":"Panapat Thananukul, Yuttana Kamsuwan","doi":"10.1109/SPIES52282.2021.9633893","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633893","url":null,"abstract":"A modified standard p-q current control strategy for shunt active power filter (APF) is presented in this paper. The objective of the proposed scheme is to compensate the load's reactive power in the linear system such as an inductive load, an induction motor (IM), etc. In order to regulate the unity power factor of the utility source, the linear algorithm for shunt APF is also proposed and revealed. This algorithm is realized by the PSIM software; moreover, the proposed scheme is verified through simulation results and validated on three-phase IM motor load, rated at 14.7 kVA380 V with loading from no-load to full-load. As the result, the operation of the shunt APF with the proposed algorithm is achieved the unity power factor or power factor correction at the utility source.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124475187","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
A Smart Grid Intrusion Detection System Based on Optimization 基于优化的智能电网入侵检测系统
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633847
Gaoyuan Liu, Huayi. Sun, Guangyuan Zhong
{"title":"A Smart Grid Intrusion Detection System Based on Optimization","authors":"Gaoyuan Liu, Huayi. Sun, Guangyuan Zhong","doi":"10.1109/SPIES52282.2021.9633847","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633847","url":null,"abstract":"Smart grid significantly improves the functions of conventional power networks, but it also makes them more susceptible to attacks of different types. Using smart grid’s vulnerabilities, attackers may compromise the integrity and confidentiality of networks, and obtain access to them as a result. Intrusion Detection System (IDS) constitutes an important means to provide safe and reliable services in a smart grid environment. This paper proposes an intrusion detection model under smart grid environment that is widely distributed in the three-tier architecture of power grid system. The model introduces Random Forest (RF) into machine learning and Particle Swarm Optimization (PSO) into evolutionary computation. To improve the accuracy of the model, this paper taps into the adaptive strategy for continued adjustment concerning the flight attitude of particles, and uses multiple mutation methods to prevent the occurrence of local optimum. The AMPSO algorithm proposed in this paper performs well in benchmarking function tests, thereby providing effective guarantee for the improvement of RF classifier. According to simulation experiments based on test sets of NPL-KDD, the intrusion detection model proposed in this paper is highly effective and practical.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123928172","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
Web Processing Control using Backstepping and RBF Neural Networks 基于反步和RBF神经网络的Web处理控制
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633945
L. T. Thi, Yao Zhao, Huy Nguyen Danh, Minh Pham Van, Duc-Cuong Quach, Duc Duong Minh
{"title":"Web Processing Control using Backstepping and RBF Neural Networks","authors":"L. T. Thi, Yao Zhao, Huy Nguyen Danh, Minh Pham Van, Duc-Cuong Quach, Duc Duong Minh","doi":"10.1109/SPIES52282.2021.9633945","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633945","url":null,"abstract":"Web processing systems are very common in industry, however, controlling them is difficult because of their nature such as multi-input multi-output, time variance, and nonlinearity. In this paper, modeling and controlling of the multi-span roll to roll system, an example of a web processing system, are investigated. The general model of multi-span roll to roll system is developed based on Hooke’s law, Coulomb law, and the law of conservation of mass. From the obtained web dynamics, a backstepping based controller with Neural RBF for web velocity and tension regulation is developed. The Radial Basis Function network is used to estimate the wind and unwind roll inertia variations. Simulation results show the effectiveness of the proposed approach.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123652546","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
Analysis of Arc Characteristics and Fault Detection in Low Voltage DC System 低压直流系统电弧特性分析及故障检测
2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2021-09-25 DOI: 10.1109/SPIES52282.2021.9633862
Xiaolong Xiao, W. Su, Jiahao Guo, Chen Zhang, Qing Xiong, Zhenguo Di, S. Ji
{"title":"Analysis of Arc Characteristics and Fault Detection in Low Voltage DC System","authors":"Xiaolong Xiao, W. Su, Jiahao Guo, Chen Zhang, Qing Xiong, Zhenguo Di, S. Ji","doi":"10.1109/SPIES52282.2021.9633862","DOIUrl":"https://doi.org/10.1109/SPIES52282.2021.9633862","url":null,"abstract":"As the DC power system is more and more widely used in electric vehicles, aerospace, electric ships and energy storage systems. DC arc faults occur frequently in these systems. Therefore, it is necessary to analyze the characteristics of the dc arc and detect the arc fault timely. Firstly, a low voltage dc arc fault experiment platform is built, and the voltage and current of the DC arc under different test conditions including load types, circuit current amplitude, electrode material and electrode spacing are measured. The amplitude and frequency spectrum of the arc current of the DC arc are analyzed. Additionally, the influence of parameters on the high frequency characteristics of the arc current are investigated. Finally, based on the characteristics of DC arc current, the characteristic parameters of arc fault detection are extracted, and a DC arc fault detection method is proposed.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156503","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
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