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IEEE Energy Conversion Congress and Exposition

作者： Haisen Zhao Yufei Wang Hassan H. Eldeeb Yang Zhan Guorui Xu Osama A. Mohammed State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source North China Electric Power University (NCEPU) Beijing China Department of Electrical and Computer Engineering Florida International University Miami FL USA

The offset between the primary and secondary couplers of the Loose-Coupled Transformer (LCT) results in deviation in the efficiency of the wireless transmission system. In order to obtain higher efficiency deviation tolerances, a three-loop LCT structure is proposed. The LCT's intermediate couplers are slightly larger than primary and secondary couplers. A 30mm air gap between primary and intermediate couplers exists. The compensation capacitance of the proposed intermediate coupler is variable. Moreover, when the horizontal or vertical offset between the primary and secondary couplers reaches 200 mm or 50 mm, respectively, the intermediate couplers can move with the secondary couplers. At the same time, the proposed LCT control strategy is optimized. A 3-kW prototype was developed for experimental verification, which proved the effectiveness of proposed LCT and control strategy.

关键词： Couplers Capacitors Resonant frequency Topology Equivalent circuits Resistance Wireless power transfer

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Online Estimation of Rotor Temperature in Induction Motors Based on Parameter Identification

Online Estimation of Rotor Temperature in Induction Motors B...

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IEEE Energy Conversion Congress and Exposition

作者： Haisen Zhao Hassan H. Eldeeb Jinyu Wang Yang Zhan Guorui Xu Osama A. Mohammed State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University (NCEPU) Beijing China Department of Electrical and Computer Engineering Florida International University Miami FL USA

This study proposes an in-service induction machine (IM) rotor's temperature estimation method. The proposed method is based on the noninvasive measurements of current and potential sensors. First of all, using the rotor slot harmonics superimposed on the stator's current, the rotor speed is extracted. Secondly, the first few cycles of the IM's starting process is used to mimic the locked-rotor test condition while the IM is in-service. Using the aforementioned analogy, the initial value of the rotor's resistance is calculated directly. A merit of the proposed method is that it requires significantly less time to estimate the rotor's resistance compared to the traditional methods in literature, and convergence speed of the parameter identification can be improved significantly. Consequently, the rotor resistance can be on-line identified via the Model Reference Adaptive (MRA) method. Thereby, the rotor temperature is calculated by the resistance-temperature linear relation of metals. Experimental validation is performed on a 5.5kW motor, and the estimated results agreed with the tested ones.

关键词： Rotors Resistance Harmonic analysis Stators Temperature sensors Induction motors Parameter estimation

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EPON Communication Network Topology Optimization Based on electrical Nodes’ Importance in Active Distribution Networks

EPON Communication Network Topology Optimization Based on El...

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IEEE PES Asia-Pacific power and Energy engineering Conference (APPEEC)

作者： Yingqiao He Li Ma Lingfeng Wang Junjie Tang Rao Rao The State Key Laboratory of Power Transmission Equipment & System Security and New Technology College of Electrical Engineering Chongqing University China Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee Milwaukee WI USA

A large amount of DGs' (distributed generations) accessing to the distribution network is a characteristic of the present and future power distribution systems. According to the actual operation state of power system, distribution network actively manages the massive distributed generations and adaptively adjusts the network to satisfy the requirements of economical and safe power supply both in the physical network and cyber network. This paper aims to propose a feasible planning optimization model for the communication network based on the evaluation of all electrical nodes' importance in the physical distribution network. This solution not only meets the current technical requirements, but also considers the possible expansion of communication network in the future. Based on the existing single-link network scheme for all the communication nodes, a certain portion of the important nodes in the distribution network is chosen to be upgraded to dual-link connection. The optimization result can provide a more economical solution for distribution network operators to build the corresponding communication network.

关键词： Distribution networks Communication networks Optical network units Passive optical networks Optical fibers Reliability

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Adaptive frequency-limited H2-model order reduction

arXiv

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arXiv 2019年

作者： Zulfiqar, Umair Sreeram, Victor Du, Xin School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Power Station Automation Technology Shanghai University Shanghai China Department of Electrical Electronics and Computer Engineering The University of Western Australia WA Australia Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing China Jilin China

In this paper, we present an adaptive framework for constructing a pseudo-optimal reduced model for the frequency-limited H2-optimal model order reduction problem. We show that the frequency-limited pseudo-optimal reduced-order model has an inherent property of monotonic decay in error if the interpolation points and tangential directions are selected appropriately. We also show that this property can be used to make an automatic selection of the order of the reduced model for an allowable tolerance in error. The proposed algorithm adaptively increases the order of reduced model such that the frequency-limited H2-norm error decays monotonically irrespective of the choice of interpolation points and tangential directions. The stability of the reduced-order model is also guaranteed. Additionally, it also generates the approximations of the frequency-limited system Gramians that monotonically approach the original solution. Further, we show that the low-rank alternating direction implicit iteration method for solving large-scale frequency-limited Lyapunov equations implicitly performs frequency-limited pseudo-optimal model order reduction. We consider two numerical examples to validate the theory presented in the paper. Copyright © 2019, The Authors. All rights reserved.

关键词： Errors

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Parallel Dispatch:A New Paradigm of electrical power system Dispatch

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 311-319页

作者： Jun Jason Zhang Fei-Yue Wang Qiang Wang Dazhi Hao Xiaojing Yang David Wenzhong Gao Xiangyang Zhao Yingchen Zhang Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver Denver 80210 CO USA State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science (SKL-MCCS CASIA) Beijing 100190 China Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology Changsha 410073 China State Grid Tianjin Electric Power Company Tianjin 300010 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China National Renewable Energy Laboratory Golden CO 80401 USA IEEE

Modern power systems are evolving into sociotechnical systems with massive complexity, whose real-time operation and dispatch go beyond human capability. Thus,the need for developing and applying new intelligent power system dispatch tools are of great practical significance. In this paper, we introduce the overall business model of power system dispatch, the top level design approach of an intelligent dispatch system, and the parallel intelligent technology with its dispatch applications. We expect that a new dispatch paradigm,namely the parallel dispatch, can be established by incorporating various intelligent technologies, especially the parallel intelligent technology, to enable secure operation of complex power grids,extend system operators' capabilities, suggest optimal dispatch strategies, and to provide decision-making recommendations according to power system operational goals.

关键词： ACP knowledge automation power dispatch parallel dynamic programming parallel intelligence paralle learning situational awareness

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Transient stability of the grid integrated with wind turbines during fault condition 7

Transient stability of the grid integrated with wind turbine...

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7th Brazilian electrical systems Symposium, SBSE 2018

作者： Marcillo, Kevin Eduardo Lucas Barra, Hugo Menezes Barra, Walter Rocha, Erick Melo Nunes, Marcus Vinicius Alves Federal University of Pará Department of Electrical Engineering Automation Laboratory Belém PA66075110 Brazil Federal University of Pará Department of Electrical Engineering Power System Control Laboratory Belém PA66075110 Brazil Federal University of Pará Department of Electrical Engineering High Voltage Laboratory Belém PA66075110 Brazil

ISBN: (纸本)9781538633632

In this paper, a computational study is carried out in order to assess the impacts of the wind power generation on dynamic behavior in the power system concerned by a modelling simulation. The concepts of different types of wind turbine generators (WTGs) and the principles of the grid-connected structures of wind power generation systems are first briefly introduced. The electrical Network used for the investigations comes from the IEEE. A change was made to include the Wind power system with Wind power Generators in Bar 2, as described later. As a comparison, the paper reports the results of several tests by using different WTG technologies, evaluating the corresponding performance under the occurrence of the same kind of fault. © 2018 IEEE.

关键词： Wind Turbine Generators

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OpenHI2 – Open source histopathological image platform

arXiv

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arXiv 2020年

作者： Puttapirat, Pargorn Zhang, Haichuan Deng, Jingyi Dong, Yuxin Shi, Jiangbo He, Hongyu Gao, Zeyu Wang, Chunbao Zhang, Xiangrong Li, Chen Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech R&D Xi'an Jiaotong University Xi'an Shaanxi710049 China School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an Shaanxi710049 China Department of Software Engineering Xi’an Jiaotong University Xi’an Shaanxi710049 China Department of Power System and Automation School of Electrical Engineering Xi’an Jiaotong University Xi’an Shaanxi710049 China Department of Pathology First Affiliated Hospital of Xi’an Jiaotong University Xi'an Shaanxi710061 China

— Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine. Pathological diagnoses are sensitive to many external factors and is known to be subjective. Only systems that can meet strict requirements in pathology would be able to run along pathological routines and eventually digitized the study area, and the developed platform should comply with existing pathological routines and international standards. Currently, there are a number of available software tools which can perform histopathological tasks including virtual slide viewing, annotating, and basic image analysis, however, none of them can serve as a digital platform for pathology. Here we describe OpenHI2, an enhanced version Open Histopathological Image platform which is capable of supporting all basic pathological tasks and file formats;ready to be deployed in medical institutions on a standard server environment or cloud computing infrastructure. In this paper, we also describe the development decisions for the platform and propose solutions to overcome technical challenges so that OpenHI2 could be used as a platform for histopathological images. Further addition can be made to the platform since each component is modularized and fully documented. OpenHI2 is free, open-source, and available at https://***/BioAI/OpenHI. Copyright © 2020, The Authors. All rights reserved.

关键词： Open source software

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OpenHI2 - Open source histopathological image platform

OpenHI2 - Open source histopathological image platform

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2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

作者： Puttapirat, Pargorn Li, Chen Zhang, Haichuan Deng, Jingyi Dong, Yuxin Shi, Jiangbo He, Hongyu Gao, Zeyu Wang, Chunbao Zhang, Xiangrong Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech. RD Xi'an Jiaotong University Xi'an Shaanxi710049 China Xi'an Jiaotong University Department of Software Engineering Xian Shaanxi710049 China School of Electrical Engineering Xi'an Jiaotong University Department of Power System and Automation Xi'an Shaanxi710049 China First Affiliated Hospital of Xi'an Jiaotong University Department of Pathology Xi'an Shaanxi710061 China Institute of Intelligent Information Processing Xidian University Xi'an Shaanxi710071 China

ISBN: (纸本)9781728118673

Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine. Pathological diagnoses are sensitive to many external factors and is known to be subjective. Only systems that can meet strict requirements in pathology would be able to run along pathological routines and eventually digitized the area, and the developed platform should comply with existing pathological routines and international standards. Currently, there are a number of available software tools which can perform histopathological tasks including virtual slide viewing, annotating, and basic image analysis, however, none of them can serve as a digital platform for pathology. Here we describe OpenHI2, an enhanced version Open Histopathological Image platform which is capable of supporting all basic pathological tasks and file formats;ready to be deployed in medical institutions on a standard server environment or cloud computing infrastructure. In this paper, we also describe the development decisions for the platform and propose solutions to overcome technical challenges including responsive region retrieval and viewing, virtual slide magnification, recording of diagnostic areas. These factors would promote OpenHI2 be used as a platform for histopathological images in real-world clinical settings. Furthermore, in research, OpenHI2 inherited the annotation functionality from the previous version, thus acquired annotations can be directly utilized by the newly added machine learning module which include popular machine learning models to perform tasks such as histology image classification and segmentation in the same environment. Addition can be made to the platform since each component is modularized and fully documented. OpenHI2 is free, open-source, and available at https://***/BioAI/OpenHI. © 2019 IEEE.

关键词： Open source software

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A Two-Stage Algorithm to Harvest Maximum power from Photovoltaic system 2

A Two-Stage Algorithm to Harvest Maximum Power from Photovol...

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2nd IEEE Conference on Energy Internet and Energy system Integration, EI2 2018

作者： Hanan, Muhammad Ai, Xin Javed, Muhammad Yaqoob Majid Gulzar, Muhammad Ahmad, Saqib State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Department of Electrical and Computer Engineering COMSATS University Islamabad Lahore Punjab Pakistan Department of Electrical Engineering University of Central Punjab Lahore Punjab Pakistan

ISBN: (纸本)9781538685495

Photovoltaic (PV) systems are gradually becoming the key renewable source of electrical energy. But the nonlinear characteristics of the PV module require special techniques to harvest maximum power. The techniques used to track the Maximum power Point (MPP) from the nonlinear I-V characteristics through power electronic circuits are known as Maximum power Point Tracking (MPPT) techniques. Although enormous MPPT techniques have been anticipated in literature, each endures its own advantages and disadvantages. This paper proposes a novel hybrid technique to enhance the performance of Incremental conductance (InC) technique. Our proposed technique removes the limitations of InC under rapid changing environmental condition. It improves the efficiency and reduces the oscillation power loss under steady state. A hybrid combination of variable-step sized Incremental Conductance with Fractional Short Circuit Current (FSCC) technique is proposed in this research work. Initially, the FSCC forces the PV system to work near MPP and then InC technique track the exact peak. Matlab/Simulink software is used to implement the proposed hybrid technique. Finally, the results verify its superior performance under rapidly changing environmental conditions. © 2018 IEEE.

关键词： Timing circuits

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OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines

arXiv

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arXiv 2022年

作者： Babier, Aaron Mahmood, Rafid Zhang, Binghao Alves, Victor G.L. Barragán-Montero, Ana Maria Beaudry, Joel Cardenas, Carlos E. Chang, Yankui Chen, Zijie Chun, Jaehee Diaz, Kelly Eraso, Harold David Faustmann, Erik Gaj, Sibaji Gay, Skylar Gronberg, Mary Guo, Bingqi He, Junjun Heilemann, Gerd Hira, Sanchit Huang, Yuliang Ji, Fuxin Jiang, Dashan Giraldo, Jean Carlo Jimenez Lee, Hoyeon Lian, Jun Liu, Shuolin Liu, Keng-Chi Marrugo, José Miki, Kentaro Nakamura, Kunio Netherton, Tucker Nguyen, Dan Nourzadeh, Hamidreza Osman, Alexander F.I. Peng, Zhao Muñoz, José Darío Quinto Ramsl, Christian Rhee, Dong Joo Rodriguez, Juan David Shan, Hongming Siebers, Jeffrey V. Soomro, Mumtaz H. Sun, Kay Hoyos, Andrés Usuga Valderrama, Carlos Verbeek, Rob Wang, Enpei Willems, Siri Wu, Qi Xu, Xuanang Yang, Sen Yuan, Lulin Zhu, Simeng Zimmermann, Lukas Moore, Kevin L. Purdie, Thomas G. McNiven, Andrea L. Chan, Timothy C.Y. Department Of Mechanical And Industrial Engineering University Of Toronto TorontoON Canada Vector Institute TorontoON Canada Department Of Radiation Oncology University Of Virginia Health System CharlottesvilleVA United States Department Of Molecular Imaging Radiation Oncology UCLouvain Louvain-la-Neuve Belgium Department Of Radiation Oncology Memorial Sloan Kettering Cancer Center New YorkNY United States Department Of Radiation Oncology The University Of Alabama At Birmingham BirminghamAL United States Department Of Engineering And Applied Physics University Of Science And Technology Of China Hefei China Shenying Medical Technology Co. Ltd. Guangdong Shenzhen China Department Of Radiation Oncology Yonsei University Seoul Korea Republic of Department Of Physics National University Of Colombia Medellín Colombia Atominstitut Vienna University Of Technology Vienna Austria Department Of Biomedical Engineering Cleveland Clinic ClevelandOH United States Department Of Radiation Physics The University Of Texas MD Anderson Cancer Center HoustonTX United States Department Of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Department Of Radiation Oncology Medical University Of Vienna Vienna Austria Department Of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Department Of Radiation Oncology Peking University Cancer Hospital And Institute Beijing China Department Of Electrical Engineering And Automation Anhui University Hefei China Department Of Radiation Oncology Massachusetts General Hospital BostonMA United States Department Of Radiation Oncology University Of North Carolina At Chapel Hill Chapel HillNC United States Department Of Medical Imaging Taiwan AI Labs Taipei Taiwan Department Of Biomedical And Health Sciences Hiroshima University Hiroshima Japan Laboratory Department Of Radiation Oncology The University Of Texas Southwestern Medical Center DallasTX United States Department Of Radiatio

We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients with head-and-neck cancer and high-quality dose predictions from 19 KBP models that were developed by different research groups during the OpenKBP Grand Challenge. The dose predictions were input to four optimization models to form 76 unique KBP pipelines that generated 7600 plans. The predictions and plans were compared to the reference plans via: dose score, which is the average mean absolute voxel-by-voxel difference in dose a model achieved;the deviation in dosevolume histogram (DVH) criterion;and the frequency of clinical planning criteria satisfaction. We also performed a theoretical investigation to justify our dose mimicking models. The range in rank order correlation of the dose score between predictions and their KBP pipelines was 0.50 to 0.62, which indicates that the quality of the predictions is generally positively correlated with the quality of the plans. Additionally, compared to the input predictions, the KBPgenerated plans performed significantly better (P © 2022, CC BY.

关键词： Forecasting

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