2020 IEEE Industry Applications Society Annual Meeting最新文献_第10页

Adaptive Finite-time Control of DC-DC Converter Feeding Constant Power Load for Fuel Cell Vehicle 燃料电池汽车恒功率负载DC-DC变换器的自适应有限时间控制

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334791

Cong Yuan, Y. Huangfu, Rui Ma

引用次数: 3

Control of Self-Excited Induction Generator-based Micro-Hydro Power Generation System Feeding Single-Phase and Three-Phase Loads 基于自励感应发电机的单相和三相微水力发电系统控制

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334806

Rajasekharareddy Chilipi, A. Al‐Sumaiti, Bhim Singh

引用次数: 3

Analysis and Design of Current-fed LCL Series Resonant Converter with Capacitive Doubler 带电容倍频器的电流型LCL串联谐振变换器分析与设计

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334840

Venkata R. Vakacharla, A. Rathore, R. Singh, S. Mishra

引用次数: 2

Optimal Planning of Distributed Generation in Distribution Networks using the Differential Evolutionary Algorithm 基于差分进化算法的配电网分布式发电优化规划

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334753

Ali Norouzizad, S. Bahramara, Abbas Divian, G. Osório, M. Shafie‐khah, Fei Wang, J. Catalão

引用次数: 0

Big Data Compression in Smart Grids via Optimal Singular Value Decomposition 基于最优奇异值分解的智能电网大数据压缩

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334900

Seyed Naser Hashemipour, J. Aghaei, Abdullah Kavousi-fard, T. Niknam, Ladan Salimi, P. C. del Granado, M. Shafie‐khah, Fei Wang, J. Catalão

{"title":"Big Data Compression in Smart Grids via Optimal Singular Value Decomposition","authors":"Seyed Naser Hashemipour, J. Aghaei, Abdullah Kavousi-fard, T. Niknam, Ladan Salimi, P. C. del Granado, M. Shafie‐khah, Fei Wang, J. Catalão","doi":"10.1109/IAS44978.2020.9334900","DOIUrl":"https://doi.org/10.1109/IAS44978.2020.9334900","url":null,"abstract":"The smart grid is a fully automatic delivery grid for electricity power with a two-way reliable flow of electricity and information among different equipment on the grid. With the rapid development of smart grids, smart meters and sensors are used to monitor the system and provide a wide reporting which produce a huge amount of data in various part of the grid. To logical manage this trouble, the presented paper proposes a new lossy data compression approach for big data compression. In the proposed method, at the first step, the optimal singular value decomposition (OSVD) is applied to a matrix that achieves the optimal number of singular values to the sending process and the other ones will be neglected. This goal is done due to the quality of retrieved data and the rate of compression ratio. In the presented scheme, to implementation of the optimization framework, various intelligent optimization methods are used to determine the number of optimal values in the elimination stage. The efficiency and capabilities of the proposed method are examined using the experimental dataset of several residential microgrid consumers and market dataset. Simulation results show the high performance and efficiency of the proposed model in smart grids with big data.","PeriodicalId":115239,"journal":{"name":"2020 IEEE Industry Applications Society Annual Meeting","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116048702","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

State-of-Charge Estimation of Li-ion Battery at Variable Ambient Temperature with Gated Recurrent Unit Network 基于门控循环单元网络的变环境温度下锂离子电池充电状态估计

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334824

M. Hannan, D. N. How, M. Mansor, M. Lipu, P. Ker, K. Muttaqi

{"title":"State-of-Charge Estimation of Li-ion Battery at Variable Ambient Temperature with Gated Recurrent Unit Network","authors":"M. Hannan, D. N. How, M. Mansor, M. Lipu, P. Ker, K. Muttaqi","doi":"10.1109/IAS44978.2020.9334824","DOIUrl":"https://doi.org/10.1109/IAS44978.2020.9334824","url":null,"abstract":"The state of charge (SOC) is a crucial indicator of a Li-ion battery management system (BMS). A BMS with a good SOC assessment can dramatically improve the lifespan of the battery and ensure the safety of the end-user. With deep learning making tremendous strides in many other fields, this study aims to provide an empirical evaluation of commonly used deep learning methods on the task of SOC estimation. We propose the use of two-hidden-layer gated recurrent units (GRU) to estimate the SOC at various ambient temperatures. In this work, we conducted two experiment setups to showcase the capability of the proposed GRU model. In the first setup, the GRU was trained on the DST, BJDST and US06 drive cycle and evaluated the FUDS drive cycle upon convergence. The same procedure was repeated with the second setup except the GRU was trained on the DST, BJDST and FUDS drive cycle and evaluated on the US06 drive cycle. In both experiment setups, the proposed GRU was evaluated on a novel drive cycle that it has not encountered during the training phase. We show that a two-hidden-layer GRU with appropriate hyperparameter combination and training methodology can reliably estimate the SOC of novel drive cycles at various ambient temperatures in comparison with other deep learning methods such as simple recurrent network (SRNN), Long Short-Term Memory (LSTM), 1D Residual Network (Resnet), 1D Visual Geometry Group Network (VGG) and the Multilayer Perceptron (MLP). The proposed GRU achieves 2.3% RMSE on the FUDS drive cycle and 1.2% RMSE on the US06 drive cycle outperforming all other models.","PeriodicalId":115239,"journal":{"name":"2020 IEEE Industry Applications Society Annual Meeting","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114699498","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: 7

Influence of Metal Shield on Electromagnetic Field and Loss in the End Region of Synchronous Condenser 金属屏蔽对同步电容器端区电磁场及损耗的影响

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334872

Guorui Xu, Ran Liu, Y. Zhan, Haisen Zhao

{"title":"Influence of Metal Shield on Electromagnetic Field and Loss in the End Region of Synchronous Condenser","authors":"Guorui Xu, Ran Liu, Y. Zhan, Haisen Zhao","doi":"10.1109/IAS44978.2020.9334872","DOIUrl":"https://doi.org/10.1109/IAS44978.2020.9334872","url":null,"abstract":"The synchronous condenser is used to in the convertor station of Extra High Voltage Direct Current (EHVDC) for its superior regulating characteristic of reactive power. However, the characteristic can also increase the end leakage magnetic flux and eddy current in the stator end region. In order to investigate the shielding effect of different metal shield materials on the magnetic field and loss in the end region, the mathematical models of the three dimensional (3-D) transient electromagnetic field in the end region of a 300 Mvar full air-cooled synchronous condenser is established. The flux density distributions of end structural components, such as finger plate, clamping plate, magnetic shield and metal shield, are calculated with different materials of metal shield under the rated excitation and 3.5 times rated excitation. The flux density of the key zones on the end structural components are compared and analyzed. In addition, the loss distributions of the end structural components are calculated and compared in three cases. The influence of different metal shield materials on losses of the end region is studied, and the end structural component that has the maximum loss is obtained. The research results provide the technical support for the end structural design of the large capacity synchronous condenser.","PeriodicalId":115239,"journal":{"name":"2020 IEEE Industry Applications Society Annual Meeting","volume":"30 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290843","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

Dynamic Analysis and State Estimation of a Mixed Energy Source Microgrid 混合能源微电网的动态分析与状态估计

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334841

Lin Zhang, Kexing Lai, M. Illindala

引用次数: 1

Adaptive Sliding-Mode H∞ Control of PMLSM Drive System via Interval Type-2 Petri Fuzzy-Neural-Network for a Two-Dimensional X-Y Table 基于区间2型Petri模糊神经网络的二维X-Y表PMLSM驱动系统自适应滑模H∞控制

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9334793

F. El-Sousy, M. Amin, G. A. A. Aziz, O. Mohammed

{"title":"Adaptive Sliding-Mode H∞ Control of PMLSM Drive System via Interval Type-2 Petri Fuzzy-Neural-Network for a Two-Dimensional X-Y Table","authors":"F. El-Sousy, M. Amin, G. A. A. Aziz, O. Mohammed","doi":"10.1109/IAS44978.2020.9334793","DOIUrl":"https://doi.org/10.1109/IAS44978.2020.9334793","url":null,"abstract":"This paper proposes a novel adaptive sliding mode H∞ control (ASMHC) via self-evolving function-link interval type-2 Petri fuzzy-neural-network (SEFLIT2PFNN) for X-Y table motion control system driven through permanent-magnet linear synchronous motor (PMLSM) servo drives. ASMHC approach includes the sliding-mode controller (SMC), robust H∞ controller, and SEFLIT2PFNN estimator. In ASMHC design, the SMC technique is employed as it has rapid dynamic response with an invariance capability against uncertain dynamics, SEIT2FLFNN estimator is utilized for approximating the uncertain nonlinear functions of the X-Y table and the H∞ controller is developed for compensating the effects of the SEFLIT2PFNN approximation errors and external disturbances at a definite attenuation level. Furthermore, H∞ control theory and Lyapunov stability analysis are employed for online adaptive control laws, so that the stability of the ASMHC scheme can be assured. The validity of the proposed control system is verified by experimental analysis. The dynamic response of the X-Y table motion control system using ASMHC promises closed-loop stability and promises the H∞ tracking performance for the whole system. The experimental validation results endorsed that the proposed ASMHC has robust control response even the presence of system disturbances and parameter uncertainties.","PeriodicalId":115239,"journal":{"name":"2020 IEEE Industry Applications Society Annual Meeting","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132909331","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

Hardware in the Loop Testing of a Protection Scheme for Microgrid using RTDS with IEC 61850 Protocol 基于IEC 61850协议的RTDS微电网保护方案的硬件在环测试

2020 IEEE Industry Applications Society Annual Meeting Pub Date : 2020-10-10 DOI: 10.1109/IAS44978.2020.9449617

H. Habib, Nevin Fawzy, S. Brahma

{"title":"Hardware in the Loop Testing of a Protection Scheme for Microgrid using RTDS with IEC 61850 Protocol","authors":"H. Habib, Nevin Fawzy, S. Brahma","doi":"10.1109/IAS44978.2020.9449617","DOIUrl":"https://doi.org/10.1109/IAS44978.2020.9449617","url":null,"abstract":"The main challenge of the microgrid is to design a suitable protection scheme due to the complexity of the architecture and the rapid change in the settings of the relays. The IEC 61850 models are used to connect a physical device to the RTDS in a closed loop test environment. Using an IEC 61850 interface to test a protective relay requires proper hardware and software configuration tools and a good understanding of how to configure the protective relay's IEC 61850 communications. This paper presents an integration between a simulated model using RTDS and physical devices SEL 421-7 relays to protect the microgrid that includes different resources connected based on inverter interface. IEEE 1588 standard is used to provide sub nanoseconds latency between the RTDS and the external devices. The measurement signals are synchronized between RTDS and the external devices using GTSYNC interface card and SEL-2488 Satellite-Synchronized Network Clock. Energy storage device is used to help the system to maintain the voltages at AC/DC sides and frequency at fault condition. The results showed that the co-simulation infrastructure introduces a highly dependable design, analysis, and testing environment for cyber and physical data flow in the system.","PeriodicalId":115239,"journal":{"name":"2020 IEEE Industry Applications Society Annual Meeting","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133534934","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: 7