检索结果-内蒙古大学图书馆

arXiv 2017年

作者： Wang, Cheng Gao, Rui Qiu, Feng Wang, Jianhui Xin, Linwei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China Milton Stewart School of Industrial & Systems Engineering Georgia Institute of Technology AtlantaGA30332 United States Argonne National Laboratory ArgonneIL60439 United States Department of Electrical Engineering Southern Methodist University DallasTX United States Energy Systems Division Argonne National Laboratory ArgonneIL United States Booth School of Business University of Chicago ChicagoIL60637 United States

In this paper, we propose a risk-based data-driven approach to optimal power flow (DROPF) with dynamic line rating. The risk terms, including penalties for load shedding, wind generation curtailment and line overload, are embedded into the objective function. To hedge against the uncertainties on wind generation data and line rating data, we consider a distributionally robust approach. The ambiguity set is based on second-order moment and Wasserstein distance, which captures the correlations between wind generation outputs and line ratings, and is robust to data perturbation. We show that the proposed DROPF model can be reformulated as a conic program. Considering the relatively large number of constraints involved, an approximation of the proposed DROPF model is suggested, which significantly reduces the computational costs. A Wasserstein distance constrained DROPF and its tractable reformulation are also provided for practical large-scale test systems. simulation results on the 5-bus, the IEEE 118-bus and the Polish 2736-bus test systems validate the effectiveness of the proposed models. Copyright © 2017, The Authors. All rights reserved.

关键词： Acoustic generators

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Hierarchical evaluation framework for coupling effect enhancement of renewable energy and thermal power coupling generation system” [Int. J. Electr. Power Energy Syst. 146 (2023) 108717]

引用

International Journal of Electrical Power & Energy systems 2024年 158卷

作者： Yao Zou Qianggang Wang Bo Hu Yuan Chi Guiping Zhou Fei Xu Niancheng Zhou Qinqin Xia State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University China State Grid Liaoning Electric Power Company Limited Shenyang Liaoning China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

来源：评论

学校读者我要写书评

暂无评论

Modeling Soybean Cultivation Suitability in China and its Future Trends in Climate Change Scenarios

SSRN

引用

SSRN 2023年

作者： Zhu, Qinyan Wang, Fumin Yi, Qiuxiang Zhang, Xiaoyang Chen, Siting Zheng, Jueyi Li, Jiale Xu, Tianyue Peng, Dailiang Institute of Applied Remote Sensing & Information Technology Zhejiang University Hangzhou310058 China Key Laboratory of Agricultural Remote Sensing and Information System Zhejiang University Hangzhou310058 China School of Geomatics and Municipal Engineering Zhejiang University of Water Resources and Electric Power Hangzhou311228 China Geospatial Sciences Center of Excellence Department of Geography & Geospatial Sciences South Dakota State University BrookingsSD57007 United States Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health Zhejiang University Hangzhou310058 China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China

Soybean is an important source of oil and vegetable protein and plays a key role in agricultural production and economy. A suitability evaluation of soybean cultivation is important for identifying potential soybean planting areas. Based on the raster data of soybean harvest ratio (FSHA) and climate-soil-topographic environmental factors, we used MaxEnt to simulate the soybean planting suitability and potential distribution in China and the future trends of soybean cultivation under climate change. The result shows that the suitability of soybean cultivation was primarily influenced by elevation, precipitation of warmest quarter, capacity of the clay fraction, slope, mean diurnal temperature range, accumulated temperature ≥10℃, solar radiation and topsoil gravel content. High-suitability and moderate-suitability area are respectively 44.61 Mha and 71.12 Mha in China. High-suitability areas for soybean are mainly concentrated in the Northeast Plain, the North China Plain and the northern parts of the middle and lower Yangtze River plain. There were many provinces with high soybean planting potential but low development degrees, including Hebei, Henan, Shandong, Tianjin, Jilin, Liaoning, Jiangsu, Hubei and Shaanxi. Under future climate scenarios (SSP126, SSP245 and SSP585) of multiple global circulation models in CMIP6, the area highly or moderately suitable for soybean cultivation is generally stable, while low suitability area shows growth evidently. The total increase of three suitability area is the most obvious under SSP245 during 2021-2040, accounting for more than 5% in the base of historical data. In the future, most parts of Northeast China (eastern Inner Mongolia, Heilongjiang and eastern and northern Jilin), parts of north-central China (northern Hebei, northern Shanxi and Shaanxi) and parts of southwest China (eastern Sichuan, Chongqing, northern Guizhou and Yunnan) may be more suitable for soybean cultivation. This study provides a practical reference for

关键词： Climate change

来源：评论

学校读者我要写书评

暂无评论

Malicious mode attack on EV coordinated charging load and MIADRC defense strategy

arXiv

引用

arXiv 2021年

作者： Zhou, Yichen Liu, Weidong Ma, Jing Zhen, Xinghao Li, Yonggang Electrical and Electronic Engineering Department North China Electric Power University No. 619 Yonghua North Road Baoding071003 China State Grid Tianjin Electric Power Company Tianjin300000 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University No. 2 Beinong Road Beijing102206 China China Institute of Energy and Transportation Integrated Development North China Electric Power University No. 2 Beinong Road Beijing102206 China

The Internet of Things (IoT) provides a salient communication environment to facilitate the coordinated charging of electric vehicle (EV) load. However, as IoT is connected with the public network, the coordinated charging system is in a low-level cyber security and greatly vulnerable to malicious attacks. This paper investigates the malicious mode attack (MMA), which is a new cyber-attack pattern that simultaneously attacks massive EV charging piles to generate continuous sinusoidal power disturbance with the same frequency as the poorly-damped wide-area electromechanical mode. Thereby, high amplitude forced oscillations could be stimulated by MMA, which seriously threats the power system stability. First, the potential threat of MMA is clarified by investigating the vulnerability of the IoT-based coordinated charging load control system, and an MMA process like Mirai is pointed out as an example. And then, based on the attack process, an MMA model is established for impact analysis where expressions of the mean and stochastic responses of the MMA forced oscillation are derived to discover main impact factors. Further, to mitigate the impact of MMA, a defense strategy based on multi-index information active disturbance rejection control is proposed to improve the stability and anti-disturbance ability of the power system, which considers the impact factors of both mode damping and disturbance compensation. simulations are conducted to verify the existence and characteristics of MMA threats, and the efficiency of the proposed defense strategy is also validated. © 2021, CC BY.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

两倍的青藏高原蒸散发增长速率

引用

Science Bulletin 2024年第12期69卷 1980-1990页

作者：陈学龙袁令马耀明陈德亮 Bob Su 曹殿斌 Land-Atmosphere Interaction and Its Climatic Effects Group State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China College of Atmospheric Science Lanzhou UniversityLanzhou 730000China National Observation and Research Station for Qomolongma Special Atmospheric Processes and Environmental Changes Dingri 858200China Kathmandu Center of Research and Education Chinese Academy of SciencesBeijing 100101China China-Pakistan Joint Research Center on Earth Sciences Chinese Academy of SciencesIslamabad 45320Pakistan Regional Climate Group Department of Earth ScienceUniversity of GothenburgGothenburg 40530Sweden Faculty of Geo-Information Science and Earth Observation University of TwenteEnschede 7500AEthe Netherlands School of Environmental Science and Engineering Chang’an UniversityXi’an 710064China

Estimation of evapotranspiration(ET_(a))change on the Tibetan Plateau(TP)is essential to address the water requirement of billions of people surrounding the *** studies have shown that ET_(a)estimations on the TP have a very large *** this article,we discuss how to more accurately quantify ET_(a)amount and explain its change on the ***_(a)change on the TP can be quantified and explained based on an ensemble mean product from climate model simulations,reanalysis,as well as ground-based and satellite ***_(a)on the TP experienced a significant increasing trend of around 8.4±2.2 mm(10 a)^(-1)(mean±one standard deviation)during 1982–2018,approximately twice the rate of the global land ET_(a)(4.3±2.1 mm(10 a)^(-1)).Numerical attribution analysis revealed that a 53.8%TP area with the increased ET_(a)was caused by increased temperature and 23.1%part was due to soil moisture rising,because of the warming,melting cryosphere,and increased *** projected future increase in ET_(a)is expected to cause a continued acceleration of the water cycle until 2100.

关键词： Evapotranspiration Global warming Water cycle Tibetan Plateau

来源：评论

学校读者我要写书评

暂无评论

Room-temperature waveguide integrated quantum register in a semiconductor photonic platform

arXiv

引用

arXiv 2023年

作者： Hu, Haibo Zhou, Yu Yi, Ailun Bao, Tongyuan Liu, Chengying Luo, Qi Zhang, Yao Wang, Zi Li, Qiang Lu, Dawei Liu, Zhengtong Xiao, Shumin Ou, Xin Song, Qinghai Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Shenzhen518055 China Pengcheng Laboratory Shenzhen518055 China Shenzhen518045 China National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China The Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Institute of Advanced Semiconductors Zhejiang Provincial Key Laboratory of Power Semiconductor Materials and Devices ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang Hangzhou311200 China State Key Laboratory of Silicon Materials and Advanced Semiconductors School of Materials Science and Engineering Zhejiang University Hangzhou310027 China Shenzhen Institute for Quantum Science and Engineering Department of Physics Southern University of Science and Technology Shenzhen518055 China Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi Taiyuan030006 China

Quantum photonic integrated circuits are reshaping quantum networks and sensing by providing compact, efficient platforms for practical quantum applications. Despite continuous breakthroughs, integrating entangled registers into photonic devices on a CMOS-compatible platform presents significant challenges. Herein, we present single electron-nuclear spin entanglement and its integration into a silicon-carbide-on-insulator (SiCOI) waveguide. We demonstrate the successful generation of single divacancy electron spins and near-unity spin initialization of single 13C nuclear spins. Both single nuclear and electron spin can be coherently controlled and a maximally entangled state with a fidelity of 0.89 has been prepared under ambient conditions. Based on the nanoscale positioning techniques, the entangled quantum register has been further integrated into SiC photonic waveguides for the first time. We find that the intrinsic optical and spin characteristics of the register are well preserved and the fidelity of the entangled state remains as high as 0.88. Our findings highlight the promising prospects of the SiCOI platform as a compelling candidate for future scalable quantum photonic applications. Copyright © 2023, The Authors. All rights reserved.

关键词： Silicon on insulator technology

来源：评论

学校读者我要写书评

暂无评论

Design, modeling, and manufacturing of high strain composites for space deployable structures

引用

Communications engineering 2024年第1期3卷 78页

作者： Ma, Xiaofei An, Ning Cong, Qiang Bai, Jiang-Bo Wu, Minger Xu, Yan Zhou, Jinxiong Zhang, Dayu Zhang, Taotao Guo, Ruiwen Li, Huanxiao Wang, Yizhe Zhou, Xiaotao Zhu, Jialong Jin, Xin Feng, Yuqing Wu, Di Liu, Tian-Wei Yan, Zhongxi Wu, Tong Xi, Haotian Jia, Qilong China Academy of Space Technology (Xi’ an) Xi’an 710000 China School of Aeronautics and Astronautics Sichuan University Chengdu 610065 China Beijing Institute of Spacecraft System Engineering Beijing 100094 China School of Transportation Science and Engineering Beihang University Beijing 100191 China College of Civil Engineering Tongji University Shanghai 200092 China School of Aeronautics and Astronautics Zhejiang University Hangzhou 310027 China State Key Laboratory for Strength and Vibration of Mechanical Structures School of Aerospace Xi’an Jiaotong University Xi’an 710049 China

The demand for larger and lighter mechanisms for next-generation space missions necessitates using deployable structures. High-strain fiber polymer composites show considerable promise for such applications due to their exceptional strength-to-weight ratio, manufacturing versatility, packaging efficiency, and capacity for self-deployment using stored strain energy. However, a significant challenge in using composite deployable structures for space applications arises from the unavoidable extended stowage periods before they are deployed into their operational configuration in orbit. During the stowage period, the polymers within the composites experience material degradation due to their inherent viscoelastic and/or plastic properties, causing stress relaxation and accumulation of plastic strains, thereby reducing the deployment capability and resulting in issues related to recovery accuracy. This paper aims to give a state-of-the-art review of recent advances in the design, modeling, and manufacturing of high-strain composites for deployable structures in space applications, emphasizing the long-term stowage effects. This review is intended to initiate discussion of future research to enable efficient, robust, and accurate design of composite deployable structures that account for the enduring challenges posed by long-term stowage effects. © The Author(s) 2024.

关键词： Aerospace engineering Mechanical engineering

来源：评论

学校读者我要写书评

暂无评论

Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scales

arXiv

引用

arXiv 2022年

作者： Zhu, Biqing Song, Xuanren Deng, Zhu Zhao, Wenli Huo, Da Sun, Taochun Ke, Piyu Cui, Duo Lu, Chenxi Zhong, Haiwang Hong, Chaopeng Qiu, Jian Davis, Steven J. Gentine, Pierre Ciais, Philippe Liu, Zhu Department of Earth System Science Tsinghua University Beijing100084 China Laboratoire des Sciences du Climate et de l'Environnement LSCE Orme de Merisiers Gifsur-Yvette91191 France Product and Solution & Website Business Unit Alibaba Cloud Zhejiang Hangzhou311121 China Department of Earth and Environmental Engineering Columbia University New YorkNY United States Department of Civil & Mineral Engineering University of Toronto TorontoONM5S 1A1 Canada Department of Electrical Engineering The State Key Lab of Control and Simulation of Power Systems and Generation Equipment Institute for National Governance and Global Governance Tsinghua University Beijing China Institute of Environment and Ecology Shenzhen International Graduate School Tsinghua University Shenzhen China Department of Earth System Science University of California Irvine 3232 Croul Hall IrvineCA92697-3100 United States

We constructed a frequently updated, near-real-time global power generation dataset: Carbon Monitor-Power since January, 2016 at national levels with near-global coverage and hourly-to-daily time resolution. The data presented here are collected from 37 countries across all continents for eight source groups, including three types of fossil sources (coal, gas, and oil), nuclear energy and four groups of renewable energy sources (solar energy, wind energy, hydro energy and other renewables including biomass, geothermal, etc.). The global near-real-time power dataset shows the dynamics of the global power system, including its hourly, daily, weekly and seasonal patterns as influenced by daily periodical activities, weekends, seasonal cycles, regular and irregular events (i.e., holidays) and extreme events (i.e., the COVID-19 pandemic). The Carbon Monitor-Power dataset reveals that the COVID-19 pandemic caused strong disruptions in some countries (i.e., China and India), leading to a temporary or long-lasting shift to low carbon intensity, while it had only little impact in some other countries (i.e., Australia). This dataset offers a large range of opportunities for power-related scientific research and policy-making. © 2022, CC BY.

关键词： Carbon

来源：评论

学校读者我要写书评

暂无评论

Predicting Potential Geographic Distribution of Tibetan Incarvillea younghusbandii Using the Maxent Model

引用

Journal of Resources and Ecology 2018年第6期9卷 681-689页

作者： KAN Aike YANG Xiao LI Guoqing WANG Yingjie TESREN Luobu ZENG Yelong CHENG Zhenlong College of Geophysics Chengdu University of TechnologyChengdu 610059China State Key Laboratory of Resource and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China School of Resources and Environmental Engineering Ludong UniversityYantaiShandong 264025China Institute of Science &Technology Information of Tibet Autonomous Region Lhasa 850000China Institute of Remote Sensing and Digital Earth Chinese Academy o f SciencesBeijing 100101China School of Environmental &Resource Sciences Zhejiang Agriculture &Forestry UniversityHangzhou 311300China

Incarvillea younghusbandii is a well-known Tibetan medicinal plant with considerable development and research value distributed widely throughout the Tibetan *** is important to study spatial distribution patterns of the plant in order to develop effective protection *** on field survey work and environmental data, the potential geographic distribution of Incarvillea younghusbandii was delineated using a Maximum Entropy (Maxent)model with 28environmental variables that screened for climate,topography,human activity and biological *** results showed that the main geographic range of Incarvillea younghusbandii included the valley between the Yarlung Zangbo river and the Duoxiong Zangbo river,the valley in the middle section of the Himalaya Mountains,and the area between the north side of the east section of the Himalayas and the south bank of the middle reach of the Yarlung Zangbo *** may spread to parts of the eastern *** Jackknife test indicated that soil types,ratio of precipitation to air temperature,extreme atmospheric pressure differences and annual precipitation were the most important predictive factors for the model,while other variables made relatively small contributions.

关键词： Maxent Model Incarvillea younghusbandii Himalaya Mountains potential distribution

来源：评论

学校读者我要写书评

暂无评论

The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

引用

BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：