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20th International Conference on AC and DC Power Transmission 2024, ACDC 2024

作者： Han, Chenhui Wang, Jinyu Luo, Longzhou Ci, Song Zhou, Yanglin School of Electrical Engineering Xi'an Jiaotong University Xi'an China Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (纸本)9781837242672

Large-scale battery energy storage systems have the advantages of rapid response speed and high regulation precision. Their widespread application contributes to the stable operation of power grids. Nowadays, the design of an optimal power distribution strategy for the storage units that maximizes the benefits of energy storage stations is a hot spot of research. This paper presents a comprehensive power distribution model, which is suitable for energy storage stations. The model incorporates multiple objective factors such as the output power, the depth of discharge (DOD), and the uniformity of the State of Charge (SOC). One of the advantages of the designed model is its capability to optimize the longevity of the energy storage systems by managing the SOC convergence effectively and minimizing life loss through judicious power allocation. This approach improves the reliability and efficiency of energy storage system operations. Additionally, the model integrates temperature regulation costs, further enhancing its applicability and relevance to practical scenarios. © The Institution of engineering & Technology 2024.

关键词： Battery storage

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Fault Tolerant control for PMSM Position Measurement Failure in CMG 18

Fault Tolerant Control for PMSM Position Measurement Failure...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Wei, Wenshan Lai, Lin Fan, Jiakun Lu, Ming Zhang, Qiang Wei, Yalun Beijing Institute of Control Engineering Space Drive and Manipulation Mechanism Laboratory Beijing China China Aerospace System Engineering Corporation Industry Development Dept Beijing China

ISBN: (纸本)9798350312201

control Moment Gyroscope (CMG) is the core part of the spacecraft which is in charge of rapid attitude maneuvering. Slip ring is the important part of CMG which is responsible for continuous electrical signal transporting from wheel to gimbal. Interruption of slip ring may cause the failure of position measurement of gimbal which will suddenly lead the gimbal of CMG enter into a sensorless PMSM control. This will further lead to a burst disordered operation of CMG and even impact the attitude control of spacecraft. In stage of low speed control of PMSM in gimbal, open loop control has been the only choice for sensorless control without changing the original design. Aimed at operating with a smooth transition from closed loop to open loop of PMSM, rapid diagnosis of temporary position measurement failure incorporates with stator and rotor field direction adjustment control strategy are suggested. With this method, the safety of the satellite has been assured when CMG encountered the temporary of gimbal position measurement failure. © 2023 IEEE.

关键词： Gyroscopes

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Geometric Methods for Assessing the Value and Demands of Energy Storage in Power system Operation

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Energy Internet 2025年第1期2卷 86-103页

作者： Qi Lv Boshen Zheng Shengwei Mei Wei Wei Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

Driven by the desire of a low-carbon society, the penetration level of renewable generation in the power grid of China will still grow fast in the near future. As the synchronised generators whose output is controllable are gradually replaced by volatile energy resources, energy storage is expected to play a vital role in regulation services and flexibility provision. Because the capital cost of energy storage is still relatively high, it is important to assess the value or demand of energy storage before making an investment decision. This paper presents two representative mathematical tools to achieve this target in a geometric fashion. The first one is the multi-parametric programming method. It depicts the reduced cost by deploying energy storage through post-optimal value function, which is easy to visualise or can be embedded in high-level optimisation problems such as storage sizing. The second one is a polyhedral projection method. It represents all feasible power-energy capacity pairs of a storage unit to achieve a certain target. The above methods remove the need of repeatedly solving a large number of problems with varying capacity parameters. Simple examples are given for illustration, and the presented methods can also directly handle problems with complex models and constraints.

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Designing high-Q Fano resonance structures for enhancing fluorescence in all-dielectric metasurfaces

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Optics Letters 2025年第9期50卷 2930-2933页

作者： He, Shuai Wang, Zhiyuan Han, Bin Li, Shan Yao, Zhenyu Guo, Yulong Chen, Zhihui Wang, Yang Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology Shanxi University Taiyuan030006 China

Highly sensitive fluorescence detection technology is crucial for biological sensing, imaging, and photonic technologies. The fluorescence enhancement effect with the same enhancement factor at multi-wavelengths is important for highly sensitive detection. However, achieving multiwavelength fluorescence enhancement remains challenging. Here, we introduce an all-dielectric metasurface composed of symmetry-broken silicon nanocylinders integrated with graphene, which is designed to significantly enhance and dynamically modulate the fluorescence emission of a single quantum dot. By fine-tuning structural parameters and adjusting the graphene Fermi level, we achieve a tunable high-Q Fano resonance, leading to a nearly 4000-fold fluorescence enhancement. Structural parameter adjustments enable consistent fluorescence enhancement across different wavelengths. Furthermore, at specific wavelengths, fluorescence enhancement can be similarly adjusted. The proposed structure can greatly expand the design strategy of heterogeneous all-dielectric metasurfaces with the same enhancement factor at multi-wavelengths. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Magnetic resonance

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Learning Individual Travel Pattern by Using Large-Scale Mobile Location Data with Deep Learning 12th

Learning Individual Travel Pattern by Using Large-Scale Mobi...

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12th International Conference on Green Intelligent Transportation systems and Safety, 2021

作者： Yan, Hao-yang Li, Yu-jie Liu, Xiao-han Chen, Xi Ma, Xiao-lei School of Transportation Science and Engineering Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control Beihang University Beijing100191 China

ISBN: (纸本)9789811956140

Factors found to be influencing individual travel patterns have been explored in several studies. A number of studies have suggested an association between mobile location data and individual travel patterns. This paper proposes a novel deep learning framework to extract individual travel patterns by using large-scale mobile location data. The proposed framework includes methods for extracting origin and destination points based on spatiotemporal thresholds, matching the origin and destination with traffic analysis zone, and predicting based on natural language processing methods, in which a neural network is constructed to vectorize the traffic area on the basis of spatiotemporal information. A case study is performed using mobile location data involving more than 3 million users in Beijing, and the results show that our proposed framework can effectively identify individual travel patterns. The results of this study can further provide insights into traffic demand identification, bus network optimization, and other related research. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data mining

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A Synthetic Inertia control Scheme for Inverter Utilizing Its DC Side Capacitor 2nd

A Synthetic Inertia Control Scheme for Inverter Utilizing It...

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2nd International Conference on Smart Electrical Grid and Renewable Energy, SEGRE 2024

作者： Zhang, Mingmin Luo, Ziyi Chen, Wanxing Yu, Jiaqi Guo, Wenming Li, Yong Hunan Province University Key Laboratory of Energy Storage Power System Cyber-Physical Control Changsha University Changsha China College of Electrical and Information Engineering Hunan University Changsha China

ISBN: (纸本)9789819624553

Insufficient inertia has retrained the progress toward a one hundred percent inverter-based power generation. To solve this issue, a promising way is to exploit synthetic inertia based on the power electronic inverters. Taking advantage of energy stored in the DC side capacitor, this paper proposes a synthetic inertia control scheme for inverters without a DC side battery. The basic mechanism of the synthetic inertia control is derived by comparing the working principle between a synchronous generator and a three-phase inverter. Thereafter, the control algorithm of the inverter is designed by three parts, including synthetic inertia control loop, reactive power control loop and line oscillation damping control loop. Finally, simulation results based on a simplified microgrid are presented to verify the self-grid synchronization and grid-supportive characteristics of the inverter. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Synchronous generators

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Damage effect and progressive failure mechanism of sandstone considering different flaw angles under dynamic loading

Rock Mechanics Bulletin

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Rock Mechanics Bulletin 2024年第1期3卷 81-96页

作者： Dongliang Ji Hui Cheng Hongbao Zhao State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuangChina Key Laboratory of Mechanical Behavior Evolution and Control of Traffic Engineering Structures in Hebei Shijiazhuang Tiedao UniversityShijiazhuangChina School of Energy and Mining Engineering China University of Mining and Technology(Beijing)BeijingChina

In many engineering applications,it is essential to have information about rocks that inherently contain preexisting flaws under dynamic loading *** impact tests are conducted on samples with varying flaw angles using the split Hopkinson pressure bar(SHPB)test system and the Digital Image Correlation system(DIC).The characteristics of the samples after dynamic loading,including dynamic strength,energy dissipation,and fractal fracture,are compared and *** the flaw angle increases,the peak stress and strain exhibit a typical V-shaped pattern,reaching the minimum value at 30,and the initial initiation position shifts from the flaw tips to the middle of the *** modes can be divided into three modes depending on the flaw *** progressive failure process,taking into account the heterogeneity of the rock,is demonstrated by developing an elastic damage constitutive model that uses dynamic compression and tensile tests to parameterize *** the flaw angle increases,the initial damage zone also moves from the flaw tips to the middle of the *** around the hole with redistributed stress are observed,and the failure mechanisms can be explained with the aid of strain energy density(SED).Using fracture mechanics,the analytical solution of stress around the flaw is provided,and the variation of crack initiation angle,stress distribution,and energy dissipation under different flaw angles is theoretically explained,which is in good agreement with the experimental and simulated results.

关键词： Dynamic loading Damage evolution Constitutive model Flaw angle Energy dissipation

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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Structural optimization of S-CO2Brayton cycle compressor impeller based on evolutionary algorithm 17

Structural optimization of S-CO2Brayton cycle compressor imp...

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17th Asian International Conference on Fluid Machinery, AICFM 2023

作者： Xie, Liangtao Yang, Jianguo Hu, Nao Fan, Yu Sun, Sicong School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Wuhan430063 China Key Laboratory of Marine Power Engineering Technology Transportation Industry Wuhan430063 China National Engineering Laboratory for Marine and Ocean Engineering Power System Electronic Control Sub-laboratory for Low-speed Engine Wuhan430063 China

As the critical components for marine low-speed diesel engine flue gas waste heat recovery (WHR) supercritical carbon dioxide (S-CO2) Brayton cycle system, the structure of the compressor impeller is optimized by the evolutionary algorithm (EA) based on the co-simulation of the CAESES, ANSYS CFX and Opti Slang. The law of impeller pressure ratio, efficiency and power consumption in S-CO2 Brayton cycle (SCBC) as a function of rotational speed, inlet temperature, pressure and impeller structural parameters are revealed, and the method of improving SCBC efficiency for marine low-speed diesel engine flue gas waste heat recovery is studied. The optimized impeller structure is greatly enhanced in aerodynamic performance and safety, and the isentropic efficiency is increased by 2.54%, the pressure ratio is increased by 35.64%, and the temperature rise is increased by only 4.6%. A 100kW S-CO2 compression cycle test bench was set up to verify the simulation-optimized impeller results. The final results show that the optimized impeller structure, aerodynamic performance and safety are greatly improved. It provides theoretical support for selecting and optimising compressor impellers for marine low-speed diesel engine flue gas waste heat recovery S-CO2 Brayton cycle. © Published under licence by IOP Publishing Ltd.

关键词： Structural optimization

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Global practical stabilization of the double integrator system with an imperfect sensor and subject to a bounded disturbance

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control Theory and Technology 2024年第3期22卷 468-478页

作者： Zhiyuan Zhu Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of Ministry of EducationShanghai 200240China Charles L.Brown Department of Electrical and Computer Engineering University of VirginiaP.0.Box 400743CharlottesvilleVA 22904-4743USA

This paper is concerned with global practical stabilization of the double integrator system with an imperfect sensor and subject to an additive bounded output *** imperfect sensor nonlinearity possesses the nonlinear characteristics of saturation and dead *** of the presence of output dead zone and the additive disturbance,the states cannot be expected to driven into an arbitrarily small neighborhood of the *** solve the global practical stabilization problem,we proposes a low gain-based linear dynamic output feedback law,under which the first state enters and remains in a bounded set whose size is depended on the bound of disturbance and the range of dead zone and the second state enters and remains in a pre-specified arbitrarily small set,both in finite *** results illustrate the effectiveness of our proposed control method.

关键词： Output saturation Disturbance rejection Output dead zone Low gain feedback-Linear output feedback Practical stabilization

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