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2nd International Conference on Smart Grids and Energy systems, SGES 2023

作者： Meng, Tao Lv, Xiangyu Li, Chenggang Li, Dexin Zhang, Yifu Meng, Xiangdong State Grid Jilin Electric Power Co. Ltd. Electric Power Research Institute China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Changchun Jilin China

ISBN: (纸本)9798350371659

To achieve large-scale renewable energy, grid friendly coordination and the need to maximize grid-connection and consumption functions, the clustering method has become a forward-looking solution for distribution network planning, construction and dispatching control. In this paper, the modularity index and active power balance index based on electrical distance are taken as the comprehensive classification index. Then genetic algorithm is introduced to divide the distributed PV cluster in the distribution network. Finally, a 10kV distribution system is taken as an example, and the distributed photovoltaic cluster planning is simulated and analyzed, which proves that the distributed photovoltaic cluster division method is effective. © 2023 IEEE.

关键词： Genetic algorithms

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Estimating the value of a statistical life in China: A contingent valuation study in six representative cities

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Chinese Journal of Population,Resources and Environment 2023年第4期21卷 269-278页

作者： Chaoji Cao Xinke Song Wenjia Cai Yichao Li Jianhui Cong Xueying Yu Mengzhao Gao Can Wang Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing100084China Center for Healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing100084China Tsinghua Urban Institute Tsinghua UniversityBeijing100084China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Center for Statistical Science Tsinghua UniversityBeijing100084China Department of Industrial Engineering Tsinghua UniversityBeijing100084China School of Economics and Management Shanxi UniversityTaiyuan030000China School of Economics and Management Beihang UniversityBeijing100191China Beijing Advanced Innovation Center for Big Data-based Precision Medicine Beihang UniversityBeijing100191China Key Laboratory of Big Data-Based Precision Medicine(Beihang University) Ministry of Industry and Information TechnologyBeijing100191China

The value of a statistical life(VSL)is a crucial tool for monetizing health *** explore the VSL in China,this study examines people’s willingness to pay(WTP)to reduce death risk from air pollution in six representative cities in China based on face-to-face contingent valuation interviews(n=3936)from March 7,2019 to September 30,*** results reveal that the WTP varied from CNY 455 to 763 in 2019(USD 66-111),corresponding to a VSL range of CNY 3.79-6.36 million(USD 549395-921940).The VSL in China in 2019 is estimated to be CNY 4.76 million(USD 689659).The statistics indicate that monthly expenditure levels,environmental concerns,risk attitudes,and assumed market acceptance,which have seldom been dis‐cussed in previous studies,significantly impact WTP and *** findings will serve as a reference for ana‐lyzing mortality risk reduction benefits in future research and for policymaking.

关键词： Air pollution Contingent valuation method Willingness to pay Value of a statistical life China

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Influence of new energy at the sending end on the calculation of single-end equivalent model of LCC-HVDC sending system 12

Influence of new energy at the sending end on the calculatio...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： He, Xiaocai Wang, Bin Dong, Xinzhou Zhang, Minglong Chao, Wujie Huang, Junwei Dai, Liyu National Key Laboratory of New Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing China State Grid Fujian Electric Power Co. Ltd. Electric Power Science Research Institute Fujian China

The short circuit current characteristics of LCC-HVDC transmission system are directly related to the action characteristics of AC protection at the inverter side. However, the single-end equivalent model of the existing LCC-HVDC transmission system regards the sending end as a pure traditional AC power supply, and the equivalent error is large when the sending end contains a high proportion of new energy. Based on the dynamic phasor equivalent calculation framework, this paper establishes a single-end equivalent model of the LCC-HVDC transmission system based on the AC information of the inverter side only, and analyzes the impact of different new energy proportion scenarios on the single-end equivalent error and the causes of the error. In this paper, simulation verification is carried out under the scenario of multiple new energy ratios at the sending end. The results show that the simulation error of the single-end equivalent model increases with the increase of the proportion of new energy, which reduces the credibility of the single-end equivalent calculation. © The Institution of engineering & Technology 2023.

关键词： Errors

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An energy-saving photo-rechargeable lithium-ion battery based on lead-free hybrid perovskite

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Science China Materials 2025年第4期68卷 1091-1099页

作者： Xiaojing Yin Guangran Di Ye Liu Guoqiang Wang Changhua Mi Yubo Kuang Xiaoqian Xiang Xin Sun Eran Edri Xiaojun Lv Meicheng Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of New EnergyNorth China Electric Power UniversityBeijing 102206China IlseKatz Institute for Nanoscale Science and Technology Department of Chemical EngineeringBen-Gurion University of the NegevBe'er-Sheva 8410501Israel

The development and utilization of clean energy have emerged as indispensable technologies within contemporary societal structures,and the development of photo-rechargeable lithium-ion batteries(PR-LIB)holds new promise for simultaneously eliminating solar energy volatility limitations and realizing battery *** this study,we present photoactive electrodes consisting of lead-free bismuth-based hybrid perovskite that combine the dual functions of photovoltaic conversion and energy *** was found that the PR-LIB based on this electrode increased the discharge capacity of the battery from 236.0 mA h g^(-1) in the dark to 282.4 mA h g^(-1)(a current density of 50 mA g^(-1))with a growth rate of 19.7%under light *** photogenerated carriers generated by the methylammonium bismuth iodide(MBI)effectively accelerated the charge transfer and lithium-ion diffusion,which contributed to the increase of the capacity and the decrease of the charge-transfer ***,the charging potential decreased by 0.1 V(6%reduction in input power)while the discharging potential increased by 0.1 V(11.8%increase in output power)under *** work demonstrates the potential of PR-LIB as an efficient,energy-saving battery in portable electronic devices.

关键词： lithium-ion batteries photo-rechargeable batteries hybrid perovskite photoactive electrodes energy conservation

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Towards More Accurate Tiny Object Tracking: Benchmark and Algorithm

Towards More Accurate Tiny Object Tracking: Benchmark and Al...

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International Conference on Computer Supported Cooperative Work in Design

作者： Jizhe Yu Yu Liu Hongkui Wei Kaiping Xu DUT School of Software Technology & DUT-RU International School of Information Science and Engineering Dalian University of Technology Dalian China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

Despite the significant progress in tiny object tracking algorithms based on convolutional neural networks, the performance falls short of the ideal level due to dataset challenges like limited scale, limited match backdrop, low match popularity, and low-resolution(720p) images. The lack of specialized large-scale tiny object tracking datasets leads data-hungry tracking algorithms to rely on small and saturated datasets from TrackNet. This paper propels the development of tiny object tracking and contributes the first large-scale dataset, Badminton100K, for tiny ball tracking. We provide over 100K annotations covering over 200 videos from 12 professional match events. Our dataset covers high-resolution(1080p) match videos in broad and diverse contexts. Moreover, considering the fast-moving tiny balls in videos often leads to challenges such as blur, afterimage, overlap, and disappearance. As another contribution, we also propose a novel Multi-stage and Multi-scale Fusion Network (MMFNet), which can extract local high-resolution details in the shallow stages and capture global semantic information in the deep stages, addressing these challenging tasks through multiple stages multi-scale feature fusion, enabling accurate identification and localization of tiny balls. Extensive experiments show that our method achieves unprecedented state-of-the-art tracking performance on Badminton100K. The dataset and the algorithm code are available at https://***/Gi-gigi/MMFNet.

关键词： Location awareness Accuracy Image resolution Semantics Transfer learning Propulsion Feature extraction

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三维各向同性介质中Eshelby强猜想的受限证明

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Acta Mechanica Sinica 2023年第6期39卷 67-79页

作者：袁天宇黄克服王建祥 Institute for Advanced Study Chengdu UniversityChengdu 610106China State Key Laboratory for Turbulence and Complex System Department of Mechanics and Engineering ScienceCollege of EngineeringPeking UniversityBeijing 100871China Department of Mechanics and Aerospace Engineering Southern University of Science and TechnologyShenzhen 518055China CAPT-HEDPS and IFSA Collaborative Innovation Center of MoECollege of EngineeringPeking UniversityBeijing 100871China

Eshelby在椭球夹杂问题的研究中提出过一个著名的猜想——Eshelby猜想,即椭球是唯一一种能将均匀本征应变转化为均匀弹性应变的夹杂构型,且该类性质被称为Eshelby均匀特性.在后来的研究中,Eshelby猜想被分为强弱两个版本,在三维各向同... 详细信息

Eshelby在椭球夹杂问题的研究中提出过一个著名的猜想——Eshelby猜想,即椭球是唯一一种能将均匀本征应变转化为均匀弹性应变的夹杂构型,且该类性质被称为Eshelby均匀特性.在后来的研究中,Eshelby猜想被分为强弱两个版本,在三维各向同性介质中,Eshelby弱猜想已经得到证明,但Eshelby强猜想仍然悬而未决,其中Ammari等人(2010)仅针对本征应力有三个相同或三个不同特征值的情形证明了强猜想成立.在这项工作中,我们考虑尚未被证明的情形,即本征应力仅有两个相同特征值的情形.首先,我们提出了具有Eshelby均匀特性的夹杂须满足的必要条件.接着,由于该必要条件不足以帮我们判别夹杂构型是否只能为椭球,因此我们额外引入一个与材料常数相关的约束条件,继而基于非相似材料的概念,证明了,在两个非相似各向同性介质中都具有Eshelby均匀特性的夹杂构型只能为椭球。最后,我们提出了一个更具体的强猜想的受限证明,我们约束具有Eshelby均匀特性的夹杂其内部应变场与椭球在相同本征应变下产生的内部应变场相同,继而证明了,对特定本征应力及与本征应力相关的弹性张量的组合,Eshelby强猜想成立.综上,该工作在完全证明三维各向同性介质Eshelby强猜想的探索道路上又向前迈进了一步.

关键词：各向同性介质本征应力本征应变材料常数弹性应变特征值相似材料非相似

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Prediction for Dissolved Gas in Power Transformer Oil Based on Transfer Learning and Mutation Detection

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IEEE Transactions on Dielectrics and Electrical Insulation 2025年

作者： Wang, Chunxin Xie, Jun Zhang, Yutong Qiao, Chunying Xie, Qing Dong, Fangchen North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China China State Shipbuilding Corporation Systems Engineering Research Institute Beijing100091 China

To solve the problem of poor prediction of dissolved gas concentration in transformer oil under defective state caused by "small-sample" problem, a prediction method for dissolved gas in power transformer oil based on transfer learning and mutation detection is proposed. Firstly, the domain-adversarial transfer learning method is used to train the prediction models under normal and defective states respectively. A large number of normal state samples are used to assist in training to solve the problem of inaccurate prediction caused by the "small-sample" characteristics of the defective state. Then, taking the prediction error as the criterion, a transformer state mutation detection method is proposed to determine the transformer state for selecting the required model during online prediction. Finally, the online monitoring data of dissolved gas concentration in transformer oil collected on site is used for testing. The results showed that the proposed method can adapt to the prediction tasks under normal and defective states at the same time. Compared with the comparison method, MAPE is reduced by more than 6.504%, and RMSE is reduced by more than 73.295 μL/L. © 1994-2012 IEEE.

关键词： Prediction models

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Rapid increase in warm-wet compound extreme events with high health risks in southern China:Joint influence of ENSO and the Indian Ocean

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Advances in Climate Change Research 2023年第6期14卷 856-865页

作者： Cai-Meng LIANG Liang ZHAO Shun-Wu ZHOU Xin-Yong SHEN Cun-Rui HUANG Yi-Hui DING Yan-Ju LIU Hao-Xin YAO Kai-Xing ZHOU Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academyof SciencesBeijing100029China Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province Haikou 570203China Vanke School of Public Health Tsinghua UniversityBejing 100084China Institute of Healthy China Tsinghua UniversityBeijing 100084China National Climate Center China Meteorological AdministrationBejing 100081China Beijing Institute of Electronic System Engineering Bejing 100854China

High temperature and high humidity pose notable threats to the health and survival of humans,and the impact of compound extreme events involving multiple meteorological elements is usually greater than the sum of the impacts of individual extreme ***,there is limited research on the compound extreme meteorological events,defined based on the extreme of health risks rather than just the extreme of meteoro-logical elements,necessitating further investigation into their characteristics and underlying driving *** daily records of emergency ambulance dispatches from selected Chinese cities,together with daily average temperature and relative humidity data,this study identified and quantified warm-wet compound extreme events with high health risks(HRWWs)that occurred in southern China during *** revealed that HRWWs were most prevalent in the coastal region of southern *** annual frequency of HRWWs across China underwent a marked shift in 2014,with the rapid increase in recent years primarily contributed by the increase in summer HRWWs and advance and extension of the period of occurrence of HRWWs in *** analysis indicated that the changes in HRWWs in southern China during summer were primarily regulated by the EIl Nino-Southern Oscillation(ENSO)of the preceding winter and the springtime Indian Ocean basin-wide(IOBW)*** Nino and Indian Ocean warming force a reverse Walker circulation in the tropical Indian Ocean-western Pacific,strengthening the Philippine anticyclone(PAC)in *** weakens convection in the northwestern Pacific and enables the western Pacific subtropical high to extend westward over coastal areas of southern *** resulting abnormal atmospheric circulation causes prevailing subsidence over southern China,which is unfavorable for precipitation but conducive to maintaining high surface *** reduced precipitation,water vapor flux is increased owing to strengthened southwesterlies

关键词： Health risk Warm-wet compound events ENSO IOBW

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A DEM upscaling method with integrating valley lines based on HASM

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Frontiers of Earth Science 2024年第3期18卷 509-525页

作者： Mingwei ZHAO Xiaoxiao JU Na ZHAO Chun WANG Yan XU Xiaoran WU Weitao LI Geographic Information and Tourism College Chuzhou UniversityChuzhou 239000China College of Resource Environment and TourismCapital Normal UniversityBeijing 100048China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100101China Anhui Engineering Laboratory of Geo-information Smart Sensing and Services Chuzhou 239000China Anhui Center for Collaborative Innovation in Geographical Information Integration and Application Chuzhou 239000China School of Geographic Information and Tourism Chuzhou UniversityChuzhou 239000China

A new digital elevation model(DEM)upscaling method based on high accuracy surface modeling(HASM)is proposed by combining the elevation information of DEM and the valley lines extracted from DEM with different flow accumulation *** proposed method has several advantages over traditional DEM upscaling ***,the HASM ensures the smoothness of the upscaled ***,several DEMs with different topographic details can be obtained using the same DEM grid size by incorporating the valley lines with different flow accumulation *** Jiuyuangou watershed in China’s Loess Plateau was used as a case study.A DEM with a grid size of 5 m obtained from the local surveying and mapping department was used to verify the proposed DEM upscaling *** established the surface complexity index to describe the complexity of the topographic surface and quantified the differences in the topographic features obtained from different upscaling *** results show that topography becomes more generalized as grid size and flow accumulation threshold *** a large DEM grid size,an increase in the flow accumulation threshold increases the difference in elevation values in different grids,increasing the surface complexity *** study provides a new DEM upscaling method suitable for quantifying topography.

关键词： DEM upscaling HASM flow accumulation threshold surface complexity index

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An Algorithm for Cooperative Navigation using Neural Network to Identify Colored Noise Online

An Algorithm for Cooperative Navigation using Neural Network...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Danting Sheng Jin Cheng Fengyi Li Mingrui Hao Beijing Electro-mechanical Engineering Institute CASIC Beijing China HIWING Technology Academy of CASIC CASIC Beijing China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation CASIC Beijing China

ISBN: (数字)9798350384185

ISBN: (纸本)9798350384192

In practical applications of cooperative navigation algorithms based on Kalman filtering, noise is often colored noise, which does not meet the requirement of Gaussian white noise for Kalman filtering. Therefore, an algorithm is proposed to identify and compensate for colored noise online using a BP neural network. Firstly, a cooperative navigation model based on Kalman filtering is established. Then, by studying the update process of Kalman filtering, the neural network is incorporated into the prediction calculation of the observations, following the online learning and updating of the Kalman filter. Mathematical simulations show that under conditions of colored noise, the results of the Kalman filter diverge. However, after correction by the BP neural network, the filtering converges, providing high reference value for improving the accuracy of cooperative navigation.

关键词： Accuracy Filtering Navigation Neural networks Collaboration White noise Mathematical models Kalman filters Colored noise Convergence

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