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3rd International Conference on Laser, Optics, and Optoelectronic Technology, LOPET 2023

作者： Sun, Bing Wang, Lichao Ma, Jian Wei, Xingyuan Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd Xinjiang Key Laboratory of Whole Process Simulation for Power System Urumqi830011 China Shandong University School of Electrical Engineering Jinan250012 China

ISBN: (纸本)9781510667624

Energy storage systems can effectively improve the inertia of PV systems and achieve power smoothing of PV power generation due to their fast and flexible power regulation capability. This study proposes a BESS charging and discharging control method with limited PV fluctuation smoothing for the capacity optimization of energy storage in high permeability PV grids. This method can reduce the number of times the BESS is charged and discharged and improve its service life while smoothing out large fluctuations in PV power output. © 2023 SPIE.

关键词： Energy storage

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Research on the Equilibrium Model of Electrical Energy and Flexible Ramping Market Considering Ramp Capacity Demand Curve

Research on the Equilibrium Model of Electrical Energy and F...

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2024 International Conference on Electrical Power systems and Intelligent Control, EPSIC 2024

作者： Sun, Tian Ji, Peng Xing, Tong Li, Wenxuan Guo, Zhuochen Beijing Power Exchange Centre Co. Ltd State Key Laboratory of Power System and Generation Equipment Dept. of Electrical Engineering Tsinghua University Beijing China Beijing Power Exchange Centre Co. Ltd Beijing China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China

ISBN: (纸本)9798350366075

As the proportion of renewable energy in the power system increases, the intermittence, variability and uncertainty of its power generation will bring greater operating pressure to the power system, requiring certain flexible adjustment and response capabilities to cope with intermittency. Potential situations such as wind curtailment, light curtailment, and load loss brought about by renewable energy have placed higher requirements on system flexibility. Taking into account the current situation that China's power system flexibility needs to be improved urgently in the context of the new power system, this article first provides an overview of the basic concepts and other aspects of the flexible ramping market mechanism;Secondly, on the basis of considering the calculation of the ramp capacity demand curve, an electricity energy flexible ramping market equilibrium model was constructed to support the decision-making of reasonable capacity allocation among flexible resources in different markets. Finally, simulation was performed on the IEEE 30-bus system to verify the feasibility and effectiveness of the proposed method. ©2024 IEEE.

关键词： flexible ramping market equilibrium new power system ramp capacity demand curve

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Quality influencing factors of dispersion curves from short period dense arrays based on a convolutional neural network across the north section of the Xiaojiang fault area

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Earthquake Science 2023年第3期36卷 200-211页

作者： Si Chen Rui Gao Zhanwu Lu Yao Liang Wei Cai Lifu Cao Zilong Chen Guangwen Wang Institute of Geology Chinese Academy of Geological SciencesBeijing 100037China State Key Laboratory of Tibetan Plateau Earth System Environment and Resources(TPESER)Beijing 100101China SinoProbe Laboratory of Ministry of Natural Resources Beijing 100037China School of Earth Sciences and Engineering Sun Yat-Sen UniversityGuangzhou 510275China

The number of dispersion curves increases significantly when the scale of a short-period dense array *** to a substantial increase in data volume,it is important to quickly evaluate dispersion curve quality as well as select the available dispersion ***,this study quantitatively evaluated dispersion curve quality by training a convolutional neural network model for ambient noise tomography using a short-period dense *** model can select high-quality dispersion curves that exhibit a≤10%difference between the results of manual screening and the proposed *** addition,this study established a dispersion curve loss function by analyzing the quality of the dispersion curve and the corresponding influencing factors,thereby estimating the number of available dispersion curves for the existing observation ***,a Monte Carlo simulation experiment is used to illustrates the station-pair interval distance probability density function,which is independent of station number in the observational system with randomly deployed *** results suggested that the straight-line length should exceed 15 km to ensure that loss rate of dispersion curves remains<0.5,while maintaining the threshold ambient noise tomography accuracy within the study area.

关键词： convolutional neural network ambient noise tomography dispersion curve

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An overview for monitoring and prediction of pathogenic microorganisms in the atmosphere

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Fundamental Research 2024年第3期4卷 430-441页

作者： Jianping Huang Danfeng Wang Yongguan Zhu Zifeng Yang Maosheng Yao Xiaoming Shi Taicheng An Qiang Zhang Cunrui Huang Xinhui Bi Jiang Li Zifa Wang Yongqin Liu Guibing Zhu Siyu Chen Jian Hang Xinghua Qiu Weiwei Deng Huaiyu Tian Tengfei Zhang Tianmu Chen Sijin Liu Xinbo Lian Bin Chen Beidou Zhang Yingjie Zhao Rui Wang Han Li Collaborative Innovation Center for Western Ecological Safety College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory HealthFirst Affiliated Hospital of Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease(Guangzhou Medical University)Guangzhou 510230China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Vanke School of Public Health Tsinghua UniversityBeijing 100084China State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Pan-third Pole Environment Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China School of Atmospheric Sciences Sun Yat-sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 510640

Corona virus disease 2019(COVID-19)has exerted a profound adverse impact on human *** have demonstrated that aerosol transmission is one of the major transmission routes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Pathogenic microorganisms such as SARS-CoV-2 can survive in the air and cause widespread infection among *** monitoring of pathogenic microorganism transmission in the atmosphere and accurate epidemic prediction are the frontier guarantee for preventing large-scale epidemic *** of pathogenic microorganisms in the air,especially in densely populated areas,may raise the possibility to detect viruses before people are widely infected and contain the epidemic at an earlier *** multi-scale coupled accurate epidemic prediction system can provide support for governments to analyze the epidemic situation,allocate health resources,and formulate epidemic response *** review first elaborates on the effects of the atmospheric environment on pathogenic microorganism transmission,which lays a theoretical foundation for the monitoring and prediction of epidemic ***,the monitoring technique development and the necessity of monitoring pathogenic microorganisms in the atmosphere are summarized and ***,this review introduces the major epidemic prediction methods and highlights the significance to realize a multi-scale coupled epidemic prediction system by strengthening the multidisciplinary cooperation of epidemiology,atmospheric sciences,environmental sciences,sociology,demography,*** summarizing the achievements and challenges in monitoring and prediction of pathogenic microorganism transmission in the atmosphere,this review proposes suggestions for epidemic response,namely,the establishment of an integrated monitoring and prediction platform for pathogenic microorganism transmission in the atmosphere.

关键词： Aerosol transmission Epidemic monitoring methods Epidemic prediction modelsEpidemic response Multidisciplinary cooperation

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Multifunctional succinate additive for flexible perovskite solar cells with more than 23%power-conversion efficiency

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The Innovation 2022年第6期3卷 109-116页

作者： Minghao Li Junjie Zhou Liguo Tan Hang Li Yue Liu Chaofan Jiang Yiran Ye Liming Ding Wolfgang Tress Chenyi Yi State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190China Institute of Computational Physics(ICP) ZHAW School of EngineeringWildbachstr.21Winterthur 8400Switzerland

Flexible perovskite solar cells(FPSCs)have emerged as power sources in versatile applications owing to their high-efficiency characteristics,excellent flexibility,and relatively ***,undesired strain in perovskite films greatly impacts the power-conversion efficiency(PCE)and stability of PSCs,particularly in ***,a novel multifunctional organic salt,methylammonium succinate,which can alleviate strain and reinforce grain boundaries,was incorporated into the perovskite film,leading to relaxed microstrain and a lower defect *** a result,a PCE of 25.4%for rigid PSCs and a record PCE of 23.6%(certified 22.5%)for FPSCs have been *** addition,the corresponding FPSCs exhibited excellent bending durability,maintaining85%of their initial efficiency after bending at a 6 mm radius for 10000 cycles.

关键词： perovskite bending additive

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DTAME: A Interpretable and Efficient Approach for ABAC Policy Mining and Evaluation Using Decision Trees

DTAME: A Interpretable and Efficient Approach for ABAC Polic...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Zejun Lan Jianfeng Guan Xianming Gao Tao Feng Kexian Liu Jianbang Chen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of System Engineering PLA Academy of Military Science Beijing China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Attribute-Based Access Control (ABAC) has been chosen to replace the traditional access control model due to its dynamics, flexibility and scalability recently. However, during the migration and deployment process of ABAC policies, the key issue is how to mine accurate access control policies and quickly evaluate the policies when an access request arrives. Previous approaches typically addressed these two aspects separately, and the emergence of integrated solutions has provided new insights for addressing this issue. However, despite the high accuracy of the integrated solution in policy evaluation, it still falls short in terms of interpretability and performance. Therefore, this paper proposes a decision tree based ABAC policy mining and policy evaluation (DTAME) scheme, which employs different policy mining and evaluation algorithms based on various datasets. For access control lists, we utilize decision tree algorithms to mine ABAC policies and conduct policy evaluations based on policy trees. For access control logs, we adopt a decision tree to achieve performance approximating that of XGBoost. Experimental results show that the scheme offers superior interpretability and policy evaluation performance at the expense of a certain degree of accuracy.

关键词： Access control Computer science Privacy Accuracy Scalability Process control Approximation algorithms Maintenance Decision trees Standards

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Improved High-Speed Thermal Analysis Based on Two-Step simulation for High-Frequency Transformers 14

Improved High-Speed Thermal Analysis Based on Two-Step Simul...

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14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Yi, Zheyuan Sun, Kai Li, Qiang Liu, Zengyang Tsinghua University State Key Laboratory of Power System Department of Electrical Engineering Beijing China Delta Electronics Shanghai Co. Ltd. Shanghai China University Blacksburg Center for Power Electronics Systems The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State BlacksburgVA United States

ISBN: (纸本)9798331516116

Thermal analysis is a crucial and time-consuming step in the optimization design process of high-frequency transformers (HFTs). This paper proposes an improved thermal analysis method based on heat dissipation-conduction two-step simulation, significantly reducing the computation time while ensuring the accuracy of thermal analysis. simulation results validate the accuracy and of the proposed method and demonstrate that the proposed method saves 82% of computation time for a single thermal analysis case compared to direct CFD. Experimental results further verify the accuracy of the proposed method. An exemplary application of the proposed method in the optimization design of the HFT illustrates a 98% reduction in computation time for thermal analysis during the optimization process. © 2025 IEEE.

关键词： Thermal modeling

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Small Signal Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack On IoT-based Smart Grid

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IEEE Internet of Things Journal 2025年第11期12卷 17413-17429页

作者： Wang, Bingdong Zhang, Zhenyong Wang, Mufeng Liu, Mengxiang Ye, Rui Deng, Ruilong Zhang, Xin Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Guizhou Power Grid Co. Ltd. Intelligent Operation Center China Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Industrial Control Technology Huzhou313000 China

Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the internet-of-things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed flexible AC transmission system. However, existing studies mainly focus on optimizing the performance of MTD and ignore the safety effect of it on the system’s operation. In this paper, we fill this gap by deeply analyzing the effect of MTD on the small signal stability and aim to alleviate the negative impact and guarantee its defending performance simultaneously. Firstly, the stability is formally described using the eigenvalue sensitivity. The relationship between the MTD-induced perturbation (MTDper) and the stability criteria is derived. Secondly, a new indicator is proposed to measure the effectiveness of MTDper. Thirdly, a constrained optimization problem is formulated to compute the bound of MTDper for guaranteeing the small signal stability. In addition, a surprising finding is that the stability margin can be improved and enhanced by optimizing the value of MTDper without losing the MTD’s effectiveness. Finally, we evaluate the performance of MTDper and its impact on the small signal stability with extensive simulations on the IEEE 30-bus, 39-bus, and 68-bus test power systems. © 2014 IEEE.

关键词： Constrained optimization

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Automatic Inverse Synthetic Aperture Radar Ship Targets Recognition using Simple Multiple Kernel Learning: Automatic ISAR Ship Targets Recognition using Simple-MKL 24

Automatic Inverse Synthetic Aperture Radar Ship Targets Reco...

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Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management

作者： Yuan Wu Fulin Su Xue Li Peipei Zhu Xunwei Xie National Key Laboratory of Complex Aviation System Simulation Southwest China Institute of Electronic Technology Chengdu Sichuan China School of Electronics and Information Engineering Harbin Institute of Technology Harbin Heilongjiang China

ISBN: (纸本)9798400709753

In radar automatic target recognition (RATR), inverse synthetic aperture radar (ISAR) image recognition shows its advantages. Due to the limited sample size of ISAR images, support vector machine (SVM), known for its robustness in small sample classification, is often used for ISAR image recognition. For ISAR images of different targets, the single kernel SVM algorithm might lose its robustness. Therefore, this paper applies multiple kernel learning (MKL) to ISAR ship target recognition. The process begins with the preprocessing of the ISAR images to suppress Gaussian white noise. Then, principal component analysis (PCA) is employed to extract features from the ISAR images. Finally, the Simple-MKL method is used to recognize the samples. Experiments based on simulation data indicate that the method used in this paper improves the accuracy compared to other single-kernel SVM algorithms with different kernel functions.

关键词： Inverse Synthetic Aperture Radar (ISAR)

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Wideband circular-polarized transmitarray for generating a high-purity vortex beam

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Frontiers of Information Technology & Electronic engineering 2023年第6期24卷 927-934页

作者： Liangjie QIU Xiuping LI Zihang QI Wenyu ZHAO Yuhan HUANG State Key Laboratory of Information Photonics and Optical Communications Beijing 100876China MOE Key Laboratory of Universal Wireless Communications Beijing 100876China Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Institute of Spacecraft System Engineering Beijing 100094China

In this correspondence,a wideband circular-polarized(CP)transmitarray(TA)in the Ka-band is presented for generating a high-purity vortex *** proposed element is composed of two identical combinations separated by an air *** subwavelength structure and double-resonance characteristics ensure the stable phase shift of the element within the 1-dB transmission bandwidth of 28.4%.A square aperture TA fed by a horn antenna is fabricated and *** to the honeycomb arrangement of elements,the mode purity of l=−1 is>0.93 in a wide band from 28.5 to 38 *** measured peak gain is 22.3 dBic,and the 3-dB axial ratio bandwidth is 27.6%.The performance of the proposed antenna demonstrates its potential for high-capacity wireless communication and high-quality radar imaging.

关键词： antenna generating circular

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