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Iteration framework for solving mixed lubrication computation problems

Frontiers of Mechanical Engineering 2021年第3期16卷 635-648页

作者： Shi CHEN Nian YIN Zhinan ZHANG Xiaojiang CAI State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Aerospace Control Technology Institute Shanghai 201109China Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai 201109China

The general discrete scheme of time-varying Reynolds equation loses the information of the previous step,which makes it unreasonable.A discretization formula of the Reynolds equation,which is based on the Crank-Nicolson method,is proposed considering the physical message of the previous ***-Seidel relaxation and distribution relaxation are adopted for the linear operators of pressure during the numerical solution *** addition to the convergent criteria of pressure distribution and load,an estimation framework is developed to investigate the relative error of the most important term in the Reynolds *** surface with frill contacts and mixed elastohydrodynamic lubrication is tested for *** asperity contact and sinusoidal wavy surface are examined by the proposed discrete *** show the precipitous decline in the boundary of the contact *** relative error suggests that the pressure distribution is reliable and reflects the accuracy and effectiveness of the developed method.

关键词： mixed lubrication discretization formula relative error Reynolds equation asperity

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Design and Implementation of a Cross-Platform Real-Time Power system Simulation Software for the New power system 4

Design and Implementation of a Cross-Platform Real-Time Powe...

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4th International Conference on intelligent Power and systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhang, Jingyue Zhan, Jie Zhao, Yanjun Hu, Yufeng China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangzhou CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou510663 China

ISBN: (纸本)9798331532765

With the rapid increase in renewable energy installation nodes and the substantial enhancement of switching frequencies in the new power system, this paper proposes a design scheme for a cloud simulation software that employs the Latency Insertion Method (LIM) to decompose large-scale new power system models into several subsystems, enabling multi-platform integrated parallel computing. The self-developed platform meets the demands of ultra-large simulation scales, ultra-small simulation time steps, and massive simulation computations in power systems. Experimental results demonstrate that the accelerated simulation technology, which integrates model segmentation using LIM with multi-core parallel execution, can enhance the simulation speed by up to 858 times while maintaining simulation accuracy. This significantly improves simulation efficiency and is suitable for large-scale simulations of new power systems. © 2024 IEEE.

关键词： Power systems computer aided design

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Two-Photon Image-Guided Automated 3D Locating of Micropipette Tip

Two-Photon Image-Guided Automated 3D Locating of Micropipett...

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第43届中国控制会议

作者： Zizhen Li Jie Li Qili Zhao Xin Zhao Mingzhu Sun National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases Engineering Research Center of Trusted Behavior Intelligence Ministry of Education Tianjin Key Laboratory of Intelligent Robotics (tikLIR) Institute of Robotics and Automatic Information System (IRAIS) Nankai University Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

The 21st century has been universally recognized by the scientific community as the era of neuroscience, with the patch clamp technique serving as a key to unraveling the intricate mysteries of brain science. Due to its advantages such as reduced sample damage and enhanced penetration capability, the application of two-photon microscope in deep imaging of live animals has become prevalent, making it a preferred choice over confocal microscope. At present, there exist a few near complete automation techniques of image-guided patching in vivo, which typically start from the micropipette tip appearing in the imaging field of view. The operational workflow for the step involving the installation of the micropipette until the micropipette tip becomes visible within the field of view has regrettably not been provided. However, it is crucial information that is of utmost importance to experimental personnel. In this paper, we present a comprehensive workflow for 3D locating of micropipette tip in a self-built two-photon microscope tailored for patch clamp experiments. Moreover, by fully incorporating the distinctive features of two-photon imaging, the study applies statistical methods to achieve automated execution of the corresponding workflow. The experimental results indicate that the process of micropipette tip locating takes an average of 58.4 ***, the method is not sensitive to parameter selection, allowing experimenters to obtain suitable parameters for different systems through simple testing. The automated 3D micropipette tip locating method proposed in this paper, with its versatility, holds great potential for seamless integration into commercial two-photon microscope systems. It significantly contributes to reducing the work burden on experimenters and minimizing the time required for experimental preparation.

关键词： 3D micropipette tip locating two-photon microscope automated method

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Leasing Business Model for Trunk Mobile Charging Stations: From the View of Operators

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IEEE Transactions on Transportation Electrification 2025年

作者： He, Kecheng Jia, Hongjie Mu, Yunfei Yu, Xiaodan Zhou, Yue Wu, Jianzhong Dong, Xiaohong Tianjin University State Key Laboratory of Intelligent Power Distribution Equipment and System Tianjin300072 China Lanzhou Jiaotong University School of New energy and Power Engineering Lanzhou730070 China Cardiff University School of Engineering CardiffCF24 3AA United Kingdom Hebei University of Technology State Key Laboratory of Intelligent Power Distribution Equipment and System Tianjin China

Truck mobile charging stations (TMCS) are emerging as an effective solution to bridge the gap between supply and demand for electric vehicle (EV) charging. However, traditional business models face barriers due to high initial costs and low utilization rates, hindering operator participation. To this end, this paper introduces a bi-level optimization model for TMCS leasing to balance the TMCS operator (TMCO) and charging facility operators (CFOs). The upper-level objective maximizes the profit of TMCO, focusing on TMCS fleet size, differentiated pricing for long-term and short-term rentals, and scheduling grid energy arbitrage during idle periods. The lower level aims to maximize the profit of CFOs by determining rental quantities and durations based on leasing offers. A distributionally robust optimization (DRO) approach is employed to address the uncertainties in EV charging demand, using chance constraints with the Wasserstein distance to capture forecast errors. The probabilistic constraints are transformed into tractable linear constraints through conditional value-at-risk (CVaR) approximation. The model is solved by the genetic algorithm (GA) at the upper layer and the nested column-and-constraint generation (NC&CG) algorithm at the lower layer. Case studies show that the model effectively balances the objectives of TMCO and CFOs. With adaptive pricing and TMCS allocation strategies, the model ensures the TMCO’s profitability while improving CFOs’ economics. © 2015 IEEE.

关键词： Charging stations

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The Commonality of Economic Dispatch Models Based on Scenario/Interval 7

The Commonality of Economic Dispatch Models Based on Scenari...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Wang, Yishen Wei, Renjie Sun, Fengbin Zhang, Ruihan Yao, Tiechui Ren, Lan State Grid Smart Grid Research Institute Co Ltd Future Science Park Beijing China State Grid Smart Grid Research Institute Co Ltd Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350345094

With the increasing penetration of renewable energy, how to maximize the acceptance of renewable energy on the basis of satisfying the economy security and reliability of the power system is an urgent problem to be solved. In this area, mathematical optimization methods such as robust optimization and stochastic optimization are generally used to construct models based on different uncertainty descriptions. Previous studies have shown that robust optimization has high computational efficiency but conservative results, while stochastic optimization has low computational efficiency but accurate results. Therefore, different studies will choose suitable methods based on the characteristics of the models to be constructed. However, existing studies have not thoroughly discussed whether there is a connection between the two methods. This paper first proposes an economic dispatch model based on scenario considering the admissible region of net load, and introduces a new affine strategy to transform this model into a deterministic form. Secondly, based on further exploration of the characteristics of economic dispatch models based on scenario/interval, the paper concludes that the two models are common when they are sufficiently precise. Finally, the correctness of the conclusion is verified on the IEEE-RTS system. © 2023 IEEE.

关键词： Computational efficiency

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A novel vessel route optimization algorithm based on segmented A-star algorithm in inland waterways 7

A novel vessel route optimization algorithm based on segment...

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7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023

作者： Zhang, Kang Liu, Chenguang He, Zhibo Chu, Xiumin Lai, Longhua Zhang, Pulin State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan China Intelligent Transport System Research Center Wuhan University of Technology Wuhan China School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350308532

For inland water transportation, the route planning is closely relevant to the safety and efficiency of vessel navigation. To meet the requirements route planning with variable depths, water flows, navigation rules and other factors for inland ongoing vessels, this paper proposes a segmented A-star (A∗) algorithm to optimize inland vessel routes. This algorithm divides the entire navigation waterway to several segments, to avoid the large amount of calculation with excessive grids. For each segment, the optimal route in terms of efficiency and safety is generated by an improved A∗ algorithm considering navigation rules, water flow, water depth, bridge piers, and vessel maneuverability. The experiments with real hydrologic and terrain data of Wuhan waterway of Yangtze River, show that the proposed method can generate safer and more economical routes in comparison of other algorithms. © 2023 IEEE.

关键词： Navigation

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Inland river vessel traffic flow prediction based on environment knowledge embedding and spatial-temporal information extraction 7

Inland river vessel traffic flow prediction based on environ...

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7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023

作者： Huang, Chen Chen, Deshan Fan, Tengze Wu, Bing Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan China National Engineering Research Center for Water Transportation Safety Wuhan China

ISBN: (纸本)9798350308532

Accurate and reliable vessel traffic flow prediction technology is of increasing concern to maritime regulatory authorities due to the growing demand for inland waterway shipping and the rapid increase of vessel traffic. Vessel navigation is not only influenced by nearby vessels, but also vulnerable to environmental factors. The existing inland vessel traffic flow prediction (IVTFP) methods often ignore the spatial correlation within the vessel traffic flow and the correlation from the external environment, leading to the accuracy of IVTFP not meeting the actual needs. Therefore, this paper proposes an IVTFP model based on environmental knowledge embedding and spatial-temporal graph attention networks. The environmental factors of traffic flow are described by knowledge graph and transformed into the form of matrix by knowledge representation learning algorithm. After that, the knowledge matrix is fused with the traffic flow data using the knowledge embedding module, and it is inputted to the spatial-temporal graph attention network. The experimental results on real experimental dataset show that the model improves the prediction accuracy of IVTFP, and gets better prediction results in upstream and downstream prediction, long-term prediction, and has good robustness. © 2023 IEEE.

关键词： Forecasting

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Rolling Scheduling Strategy of Electric Vehicles Based on Dynamic Clustering and Variable Horizon 4

Rolling Scheduling Strategy of Electric Vehicles Based on Dy...

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4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Song, Sijin Liu, Yutian Tan, Zukuang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Jinan250061 China Hunan Electric Power Company Limited Economic and Technical Research Institute State Grid Changsha410004 China Hunan Key Laboratory of Energy Internet Supply-demand and Operation Changsha410004 China

ISBN: (纸本)9781510666412

The overall load profile tremendously changes due to the charging of abundant electric vehicles (EVs), which brings challenges to the active power balance of distribution network. To achieve smaller fluctuation of the interactive power between the distribution network and the bulk grid, a rolling scheduling strategy of EVs based on dynamic clustering and variable horizon is proposed in this paper. First, a clustering criterion for EVs is formulated to reduce the computational complexity, and the EVs are re-clustered after each scheduling. Then, the scheduling model considering the minimum variance of comprehensive load profile and the minimum charging cost is established, whose purpose is to optimize the charging and discharging plans of the EV clusters. The scheduling horizon is the variable continuous period, which is between the starting time of the current execution horizon and the departure time of each cluster. Finally, the simulation results of modified IEEE 33-bus system verify that, the optimal EV charging and discharging plan can perfectly coordinate with the photovoltaic output profile while maximizing user satisfaction, which significantly reduces the peak-valley difference of the equivalent load. © 2023 SPIE.

关键词： Electric power distribution

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A capacitor-type DC circuit breaker for offshore all-DC grids 4

A capacitor-type DC circuit breaker for offshore all-DC grid...

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4th International Conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Xu, Qianqian Liu, Qihui Cai, Xipeng Zhu, Yihua Luo, Chao North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China National Energy Power Grid Technology R&d Centre Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798331518066

Full DC of offshore wind farms is the future development trend of large-scale offshore wind farms, however, the probability of DC line faults is high, and the use of DC circuit breakers can realise the fault ride-through of offshore full DC wind farms, improve the safe operation of the system during faults, and is one of the mainstream solutions to realise DC fault isolation. In this paper, a capacitive DC circuit breaker suitable for offshore full DC grid is proposed, which can effectively suppress the fault current by introducing a current limiting device. The topology and working principle of this circuit breaker are analysed, and the circuit breaker fault handling process is theoretically analysed. Finally, for the single-end equivalent system using capacitor-type DC circuit breaker, a simulation model is established in Matlab/Simulink software for verification, and the simulation results show that the proposed circuit breaker has a better current limiting effect and has the ability to isolate faults quickly. © 2024 IEEE.

关键词： Offshore wind farms

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Highly sensitive and stable β-Ga_(2)O_(3) DUV phototransistor with local back-gate structure and its neuromorphic application

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Nano Research 2022年第10期15卷 9359-9367页

作者： Xiao-Xi Li Guang Zeng Yu-Chun Li Qiu-Jun Yu Meng-Yang Liu Li-Yuan Zhu Wenjun Liu Ying-Guo Yang David Wei Zhang Hong-Liang Lu State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics&SystemsSchool of MicroelectronicsFudan UniversityShanghai 200433China Shanghai Synchrotron Radiation Facility(SSRF) Zhangjiang LabShanghai Advanced Research Institute&Shanghai Institute of Applied PhysicsChinese Academy of SciencesShanghai 201204China

Deep ultraviolet(DUV)phototransistors are key integral of optoelectronics bearing a wide spectrum of applications in flame sensor,military detector,oil spill detection,biological sensor,and artificial intelligence *** order to further improve the responsivity of UV photodetectors based onβ-Ga_(2)O_(3),in present work,high-performanceβ-Ga_(2)O_(3) phototransistors with local back-gate structure were experimentally *** phototransistor shows excellent DUV photoelectrical performance with a high responsivity of 1.01×107 A/W,a high external quantum efficiency of 5.02×109%,a sensitive detectivity of 2.98×1015 Jones,and a fast rise time of 0.2 s under 250 nm ***,first-principles calculations reveal the decent stability ofβGa_(2)O_(3) nanosheet against oxidation and humidity without significant performance ***,the hexagonal boron nitride(h-BN)/β-Ga_(2)O_(3) phototransistor can behave as a photonic synapse with ultralow power consumption of~9.6 fJ per spike,which shows its potential for neuromorphic computing tasks such as facial ***β-Ga_(2)O_(3) phototransistor will provide a perspective for the next generation optoelectrical systems.

关键词： β-Ga_(2)O_(3)phototransistors local back-gate responsivity stability photonic synapse

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