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2019 IEEE International Conference on Power Data Science (ICPDS)最新文献

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Thermal-Electromagnetic Analysis of Automotive IPMSM on Driving Cycles 汽车IPMSM行驶工况的热电磁分析
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017178
Fei Zhou, Tenghui Dong, Xi Zhang, Wenqiang Jin, Zhaojun Sun
{"title":"Thermal-Electromagnetic Analysis of Automotive IPMSM on Driving Cycles","authors":"Fei Zhou, Tenghui Dong, Xi Zhang, Wenqiang Jin, Zhaojun Sun","doi":"10.1109/ICPDS47662.2019.9017178","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017178","url":null,"abstract":"This paper proposes an improved modeling approach for predicting the thermal and output performances of interior permanent magnet synchronous motor (IPMSM) in different driving cycles. Generally, there are significant mutual effects between the thermal and output performances in the high-speed electric machines. In addition, both of them are influenced by the motor control algorithms, material properties drifts and so on, which are hard to be formulated in the traditional analysis approaches. Over-simplification of this phenomenon will inevitably lead to large errors in the design stage. Meanwhile, the analysis of automotive motors needs to be carried out under different operating conditions. In order to alleviate these problems, this paper establishes a novel modeling approach that integrates the impact of the multi-fields into account to improve the accuracy for motor design. Then the thermal and output performances can be obtained before the prototype been made. In this way, the design stage of the motor design can be significantly shortened. The predicting performance at different driving cycles is validated by the complete finite element analysis (FEA) model with satisfying result received.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115562769","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
G-Key: An Authentication Technique for Mobile Devices Based on Gravity Sensors * G-Key:一种基于重力传感器的移动设备认证技术*
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017188
Linjiang Xie, Hequn Xian, Xuyue Tang, Wei Guo, Feilu Hang, N. Fang
{"title":"G-Key: An Authentication Technique for Mobile Devices Based on Gravity Sensors *","authors":"Linjiang Xie, Hequn Xian, Xuyue Tang, Wei Guo, Feilu Hang, N. Fang","doi":"10.1109/ICPDS47662.2019.9017188","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017188","url":null,"abstract":"User authentication is an essential issue of information security and privacy protection in mobile device based applications. Traditional password authentication causes a heavy memory burden. Biometric authentication on mobile devices are confronted with privacy issues and risks of information disclosure. Based on the characteristics of the built-in sensors of mobile devices, we propose G-key, a novel authentication method. Primitive postures are defined, which can be identified by reading of gravity sensors of the device. A G-key recognition algorithm is designed, in which parameters can be adjusted to achieve balance between accuracy and efficiency. Users can arbitrarily define a private gesture key from posture combinations as their authentication basis. Compared with biometric authentication and password-based authentication, the authentication process of G-Key is more private. It does not require storing sensitive biological information of individuals, and no memory burden is involved. We implement G-Key in the Android platform, and experiments show that it works with high accuracy.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115098689","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
Turbine Load Control Instability Fault and Its Diagnosis Method with Big Data Fusion Model 汽轮机负荷控制不稳定故障及其大数据融合诊断方法
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017182
Kun Yao, Jiakui Shi, Huanhuan Luo, Guojun Niu, Tie Li, Zhenjun Xu, Xiaoming Zhao, J. Wan
{"title":"Turbine Load Control Instability Fault and Its Diagnosis Method with Big Data Fusion Model","authors":"Kun Yao, Jiakui Shi, Huanhuan Luo, Guojun Niu, Tie Li, Zhenjun Xu, Xiaoming Zhao, J. Wan","doi":"10.1109/ICPDS47662.2019.9017182","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017182","url":null,"abstract":"Turbine load control instability fault has a great impact on the thermal power unit's primary and secondary frequency modulation performance. A new type of load instability fault was found by checking the actual operation condition of a 660 MW supercritical steam turbine, that is, the actual load rejection amount of the regulating valve is as high as 200 MW under the condition of small action. Through comprehensive analysis, the physical mechanism of the actual fault is found: One of the high-pressure steam control valve servo cards had a problem, which caused the valve to close completely due to abnormal voltage. Feedback monitoring of the valve showed that it was in normal condition, but the valve was found to be completely closed on site. Based on the above fault mechanism, this paper establishes a fault diagnosis model, and realizes the effective identification of such faults based on the fusion of actual running big data. Finally, an effective solution for this fault is proposed, which improves the fast and accurate load-changing capacity of high-power steam turbines, and has certain reference significance for similar units.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124924087","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
Prediction of User Model based on Markov Chains 基于马尔可夫链的用户模型预测
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017197
Hongfei Xu, Jia Wu, Wei Cui, Xinyuan Wang
{"title":"Prediction of User Model based on Markov Chains","authors":"Hongfei Xu, Jia Wu, Wei Cui, Xinyuan Wang","doi":"10.1109/ICPDS47662.2019.9017197","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017197","url":null,"abstract":"Aiming at the lack of user model prediction methods, we propose a user model prediction algorithm based on Markov chain and Bayesian theorem (MCBT). The flow chart of the algorithm is as follows: firstly, establish the correlation matrix of web page types to get the degree of correlation among web page types; secondly, use Markov chain to predict the type of web pages that users will visit; thirdly, use the Bayesian theorem to predict the specific web pages to be visited within the range of candidate web pages; finally, predict the user behavior characteristics of each page based on the existing user behavior characteristics data. The user model predicted by this algorithm is similar to the original user model.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125145911","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
Nonlinear Modeling of the Subcritical Boiler-turbine System with Stochastic Differential Equations* 基于随机微分方程的亚临界锅炉-汽轮机系统非线性建模*
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017176
Mingli Du, J. Xia, Yonggui Qian, Xiaobin Li, Guoyuan Cai, R. Liu
{"title":"Nonlinear Modeling of the Subcritical Boiler-turbine System with Stochastic Differential Equations*","authors":"Mingli Du, J. Xia, Yonggui Qian, Xiaobin Li, Guoyuan Cai, R. Liu","doi":"10.1109/ICPDS47662.2019.9017176","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017176","url":null,"abstract":"With the large-scale renewable energy integrated into power system, the optimization of coordinated control system (CCS) is increasingly crucial. The dynamics of subcritical boiler-turbine system have been studied through kinds of modeling methods. But the ordinary differential equations (ODEs) are used in previous studies mainly, which can not reflect the uncertainties in this system. In this work, the uncertainties in subcritical boiler-turbine system had been analyzed and the dynamics had been described with stochastic differential equations (SDEs). Great improvements of boiler- turbine system model can be seen in the simulations. This model can be the platform to study stochastic model predictive control in CCS.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297562","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 STLF Method Based on One-Dimensional Convolution and Slope Feature 基于一维卷积和斜率特征的STLF方法研究
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017181
Qi Zeng, Haihui Pan, B. Chen, Zhifang Liao
{"title":"Research on STLF Method Based on One-Dimensional Convolution and Slope Feature","authors":"Qi Zeng, Haihui Pan, B. Chen, Zhifang Liao","doi":"10.1109/ICPDS47662.2019.9017181","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017181","url":null,"abstract":"Short-term load forecasting is of great importance to how to efficiently utilize generating units, optimize resource allocation and ensure the normal transmission of power in power system. This paper mainly studies how to improve the accuracy of short-term load forecasting through feature engineering and deep learning technology. Specifically, we construct a feature based on the slope of load data according to the changing trend of load data. We applied the proposed method to two real datasets of Hunan power grid and obtained MAPE values of 0.5758 and 0.5745 respectively. The experimental results show the effectiveness of the proposed method.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131317357","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: 3
Research on the Distributed Photovoltaic Trading and Settlement Model Based on the Energy Blockchain 基于能源区块链的分布式光伏交易结算模型研究
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017201
Hanlei Cheng
{"title":"Research on the Distributed Photovoltaic Trading and Settlement Model Based on the Energy Blockchain","authors":"Hanlei Cheng","doi":"10.1109/ICPDS47662.2019.9017201","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017201","url":null,"abstract":"With the new energy market-orientated reform in China, every resident has the same opportunity as industrial users to participate in the energy market. The paper focuses on the three photovoltaic trading modes “full power on-grid, surplus power on-grid, and grid parity,” to allow power producers and consumers to make a consensus on the trading. The flat topology of the blockchain can realize the direct interaction of energy flow, capital flow, and information flow among different distributed nodes. Running the smart contract with power trading settlement rules can reduce trading friction, improve the efficiency of purchasing and selling new energy, and promote the digitalization of the retail energy market.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132016644","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 Highly Reliable Lightweight Distribution Network Communication Encryption Scheme 一种高可靠的轻量级配电网通信加密方案
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017202
Zhuo Lv, Wei Zhang, Nuannuan Li, Cen Chen, Junfei Cai
{"title":"A Highly Reliable Lightweight Distribution Network Communication Encryption Scheme","authors":"Zhuo Lv, Wei Zhang, Nuannuan Li, Cen Chen, Junfei Cai","doi":"10.1109/ICPDS47662.2019.9017202","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017202","url":null,"abstract":"The distribution network belongs to the national key infrastructure, and the data of the automation distribution network is sensitive. It is necessary to encrypt the data in the network. At present, the communication network communication protection measures mainly aim at the security flaws of the communication protocol and the communication channel, and use the asymmetric key to encrypt the data in the network and authenticate the primary station and the terminal. Considering the current distribution network architecture, this paper designs a lightweight communication encryption scheme. The primary station side and the terminal side first perform two-way identity authentication, and then use SM4 symmetric encryption algorithm to protect power data, using SM2 asymmetric encryption. The algorithm encapsulates symmetric encryption keys and data signatures.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170171","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: 5
Research on an Improved Association Rule Mining Algorithm 一种改进的关联规则挖掘算法研究
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017168
Hongfei Xu, Xuesong Liang, Wei Cui, Wei Liu
{"title":"Research on an Improved Association Rule Mining Algorithm","authors":"Hongfei Xu, Xuesong Liang, Wei Cui, Wei Liu","doi":"10.1109/ICPDS47662.2019.9017168","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017168","url":null,"abstract":"Data mining association rules is an important role of data mining because of its wide applicability in market analysis by expressing how tangible products and services relate to each other and how rend to group together. The paper proposed Apriori algorithm of riddling compression. And has carried on the simulation, the result demonstrated the Apriori algorithm of riddling compression can improve the efficiency greatly. It can greatly reduce the candidate frequent itemsets, keeps the completion of frequent itemsets, reduces the cost of computing, and improve the efficiency of algorithm.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128535380","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: 3
Evaluating Data Consistency with Matching Dependencies from Multiple Sources 评估数据一致性与匹配依赖从多个来源
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017191
Mi Huang, Lingli Li, Ping Xuan
{"title":"Evaluating Data Consistency with Matching Dependencies from Multiple Sources","authors":"Mi Huang, Lingli Li, Ping Xuan","doi":"10.1109/ICPDS47662.2019.9017191","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017191","url":null,"abstract":"With the rapid growth of data, data quality issues have attracted increasing attention in both industry and academia. Since data consistency is one of the critical issues in data quality, we study the problem of how to evaluate the consistency of target data from multiple relevant sources under matching dependencies (MDs). Since accessing data sources directly introduces a huge cost of data comparisons, so this paper aims to design an efficient approximate consistency evaluation method with linear-time complexity. Firstly, we build a signature for each data source to approximate the pattern sets in this source defined by the MDs. Secondly, we develop a signature-based evaluation method to compute the consistency of target data based on the signatures of all the data sources that are related to our target data. Experimental results on real datasets shows high performance on both accuracy and efficiency of our algorithm.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122007086","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
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