2022 IEEE Industry Applications Society Annual Meeting (IAS)最新文献_第3页

Non-Technical Losses Detection in Electric Distribution Systems Using BERT and GAN 基于BERT和GAN的配电系统非技术损耗检测

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939802

Jia-He Lim, Yu-Wen Chen, C. Chu

{"title":"Non-Technical Losses Detection in Electric Distribution Systems Using BERT and GAN","authors":"Jia-He Lim, Yu-Wen Chen, C. Chu","doi":"10.1109/IAS54023.2022.9939802","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939802","url":null,"abstract":"Non-technical losses have caused lots of revenue loss in many electric utility companies around the world. In current practices, manual analysis on collected power consumption data first. Then, on-site inspections are conducted. With recent advances of machine learning techniques, several works have been developed to solve this task in a more effective manner. However, most existing machine learning approaches still require the feature extraction step. Moreover, most current studies overlook the imbalanced dataset from consumer's power meters. This paper proposes a new approach to deal with these problems by integrating two deep machine learning techniques. First, we use Bidirectional Encoder Representations from Transformers (BERT) to remove the feature extraction step. Meanwhile, the generative adversarial network (GAN) is considered to generate fake data to increase the number of the minority class in the imbalanced dataset. The effectiveness of the proposed method has been evaluated on various metrics. Experimental results demonstrated that the proposed method can indeed improve the recall and F1-score significantly.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116281778","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 Scheme for Switching Between a Self-excited Induction Generator and a Series Connected Self-excited Synchronous Generator 一种自激感应发电机与串联自激同步发电机切换的新方案

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939871

Li Wang, Zhi-Hong Huang, C. Tseng, Min-Fang Lee, Ching-Chung Tseng, A. Prokhorov, H. Mokhlis, K. Chua, M. Tripathy

引用次数: 1

Evaluation of Modified Global Sensitivity Analysis Techniques for Power System Dynamic Studies 电力系统动力学研究中修正全局灵敏度分析技术的评价

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939913

Balaji Guddanti, Rajarshi Roychowdhury, M. Illindala

引用次数: 0

Sand and Dust Storms Monitoring Using FY-4A Satellite Data based on Convolutional LSTM Networks 基于卷积LSTM网络的FY-4A卫星沙尘监测

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940052

Hongjun Zhao, Guoqing Li, Fei Wang, Z. Zhen, Zihang Li, Jianan Li, X. Ge, Hui Ma

{"title":"Sand and Dust Storms Monitoring Using FY-4A Satellite Data based on Convolutional LSTM Networks","authors":"Hongjun Zhao, Guoqing Li, Fei Wang, Z. Zhen, Zihang Li, Jianan Li, X. Ge, Hui Ma","doi":"10.1109/IAS54023.2022.9940052","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9940052","url":null,"abstract":"Improving the sand and dust storms monitoring capability can provide early warning information for sandstorms, and effectively improve the PV power prediction accuracy under sand and dust storms weather. In this paper, a hybrid model dust monitoring method based on a one-dimensional convolutional neural network (CNN) and a long short-term memory (LSTM) network is proposed. Using the normalized difference dust index (NDDI), CNN model, and 1DCNN-LSTM hybrid model, combined with the number four meteorological satellite (FY-4A). The channel scanning imaging radiometer AGRI (Advanced Geostationary Radiation Imager) data is used to monitor and study the sand and dust storms of the Taklimakan Desert in southern Xinjiang. The results show that the NDDI dust index established by images at different times needs to take different thresholds to identify the dust area. There are misidentifications in the coverage area as well as in the desert area. The sand and dust storms monitoring model established based on CNN network and 1DCNN-LSTM network, the accuracy (Accuracy) and loss function (Loss) of training samples and test samples are 99.9% and 1%, respectively, which has strong sand and dust storms monitoring capabilities. In practical applications, the 1DCNN-LSTM model is better than the CNN model in processing the boundary between sand and non-sand dust. In addition, the 1DCNN-LSTM model can also more accurately identify sand and dust storms in the case of a small amount of cloud occlusion area.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130400164","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 System-guidance for Power Router Applications in DC Buildings 电源路由器在直流建筑中的应用系统指南

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939927

Liangzi Li, Keli Li, Kaiqi Sun, Yuanyuan Sun, Zhijie Liu, J. Lou

{"title":"A System-guidance for Power Router Applications in DC Buildings","authors":"Liangzi Li, Keli Li, Kaiqi Sun, Yuanyuan Sun, Zhijie Liu, J. Lou","doi":"10.1109/IAS54023.2022.9939927","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939927","url":null,"abstract":"With the global interest in carbon neutrality, the renewable energy generation (REG) industry has developed rapidly in the past few decades. In order to improve the integration efficiency of REG like the photovoltaic (PV) arrays, the direct current (DC) power system is re-adopted after almost 100 years. With more and more demonstrations or business systems under operation, the practical applications on the DC microgrids and the DC transportation systems have proven the feasibility of DC buildings. In DC buildings, power routers are used to regulate the power flow among the power electronic interfaces. However, the existing standards and codes are focused on the high voltage level and extra low voltage level application, the implementation and the operation standard of the power routers in the DC building application have not received too much attention. In this paper, system-level guidance for power router applications in DC buildings is proposed. By the modification of the existing standards and the analysis of the DC building operation, the sizing guidance is proposed to satisfy any possible circumstances. Control recommendations are also provided to match the microgrid standards, including voltage control, power dispatch, and low voltage ride-through.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131727644","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 Regression Model-Based Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference of Adjacent Power Lines 基于回归模型的相邻线路交流电磁干扰下轨道感应电压预测工具箱

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939715

Md. Nasmus Sakib Khan Shabbir, Chenyang Wang, Xiaodong Liang, Emerson Adajar

{"title":"A Novel Regression Model-Based Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference of Adjacent Power Lines","authors":"Md. Nasmus Sakib Khan Shabbir, Chenyang Wang, Xiaodong Liang, Emerson Adajar","doi":"10.1109/IAS54023.2022.9939715","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939715","url":null,"abstract":"AC electromagnetic interference between rail tracks and adjacent power lines causes serious concerns about personnel and railway equipment safety. The existing AC interference analysis method uses the complex computer simulation software to estimate induced voltages on rail tracks, and such simulation becomes especially difficult at the transmission line routing stage when only limited information is available. To overcome this challenge, a novel regression model-based toolbox is developed in this paper to predict induced voltages on rail tracks due to AC interference. To develop this toolbox, the dataset acquisition is a critical step due to very limited research conducted in this area. A dataset is produced in this study using our newly developed AC interference analysis method, where variations of various factors are considered, including the power line's current, the separation distance between power lines and railway, the ballast resistance, and the length of rail tracks. To improve the accuracy, hyperparameters of regression algorithms are optimized by Bayesian optimization. Two models are eventually chosen to predict induced voltages on rail tracks: “Gaussian process regression” with “matern 3/2” kernel function; and a tri-layered “neural network” model with “sigmoid” activation function. The toolbox is accurate and easy-to-use for design engineers working on transmission line routing, and has been currently in use by Manitoba Hydro in Canada.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126659132","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

Operating Characteristics of a Vanadium Redox Flow Battery-based Energy-storage System 基于钒氧化还原液流电池的储能系统运行特性研究

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939882

Li Wang, Zhi-Hong Huang, Ching-Chuan Tseng, Min-Fang Lee, Ching-Chung Tseng, Hung-Hsien Ku, C. Hsieh, A. Prokhorov, H. Mokhlis, K. Chua, M. Tripathy

引用次数: 2

Hybrid Modulation Scheme with Current-Stress Optimization of DAB DC-DC Converter to Enhance Efficiency 基于电流应力优化的DAB DC-DC变换器混合调制方案提高效率

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939880

Suman Mandal, A. Shukla, S. Doolla

{"title":"Hybrid Modulation Scheme with Current-Stress Optimization of DAB DC-DC Converter to Enhance Efficiency","authors":"Suman Mandal, A. Shukla, S. Doolla","doi":"10.1109/IAS54023.2022.9939880","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939880","url":null,"abstract":"The increasing popularity of power electronic (PE) converters in different applications has led the research work to obtain higher efficiency and power density of the system. The dual active bridge (DAB) converter becomes very important in the domain of DC-DC isolated converters, due to its several advantages. Multiple research articles have studied the operation procedure of DAB converter, and proposed various modulation techniques for the same. Several phase shift modulation techniques have improved the operation of DAB for wide voltage and power range. However, at low power and wide voltage variation of converter, some limitations of those phase sift modulation techniques can be identified such as, low efficiency, hard switching operation, high peak and rms current of transformer, high computational effort etc. Targeting those issues, a hybrid modulation technique is proposed combining single phase shift and variable phase shift modulation techniques. The proposed modulation scheme a) optimizes the transformer peak current at its minimum value for full range of power, b) provides zero voltage switching (ZVS) operation for all operating conditions, c) ensures minimum voltage stress on switches, d) does not use any current sensor for the optimization process and e) operates with simplified control strategy which results low computational efforts. The optimization of peak current is achieved using two different methods, which are differential method and Lagrangian multiplier method. The optimization process is carried out for full range of voltage and power to ensure the ZVS operation for all operating conditions. All the claimed characteristics of the proposed modulation technique are verified through simulation and the experimental results derived from a hardware prototype.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121247863","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 DC-DC converter with input full active bridge and output semi active bridge for bipolar LVDC systems 一种用于双极LVDC系统的输入全有源桥和输出半有源桥的DC-DC变换器

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940082

Yi-Jhong Chen, Jianjun Ma, Miao Zhu, N. Dai

引用次数: 2

Misalignment Tolerance of Inductive Power Transfer Coupler with Low Loss and High Magnetic Induction Ferromagnetic Materials 低损耗高磁感应强度铁磁材料电感功率传输耦合器的误差容限

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939769

Jinping Kang, Shaoyu Cheng, Yubo Wang, Xueying Zhang, Fuyao Yang, Guorui Xu, H. Eldeeb, Haisen Zhao

{"title":"Misalignment Tolerance of Inductive Power Transfer Coupler with Low Loss and High Magnetic Induction Ferromagnetic Materials","authors":"Jinping Kang, Shaoyu Cheng, Yubo Wang, Xueying Zhang, Fuyao Yang, Guorui Xu, H. Eldeeb, Haisen Zhao","doi":"10.1109/IAS54023.2022.9939769","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939769","url":null,"abstract":"In an inductive power transfer (IPT) system, various magnetic materials have difference characteristics in enhancing the degree of coupling and misalignment tolerance between the primary and secondary coils. However, the iron losses in ferromagnetic materials may decrease the transfer efficiency of the IPT system significantly. Therefore, in this study, performance and misalignment tolerance of IPT systems with four types of ferromagnetic materials are investigated. Firstly, an equivalent circuit model of the IPT system is established and the variations of system efficiency with different ferromagnetic materials are also revealed. Then, a 3-D finite element analysis (FEA) model of the magnetic coupler is established. In addition, loss test platform is established to obtain the accurate loss coefficients. Finally, the transfer efficiency and magnetic field distributions are both investigated. The results show that the high efficiency and magnetic flux density can be achieved when nanocrystalline core with vertical laminations is used.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122752575","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