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第二十四届大气污染防治技术研讨会

作者： Xionghui Qiu Shuxiao Wang Qi Ying Lei Duan Jia Xing Jingyuan Cao Di Wu Xiaoxiao Li Chengzhi Xing Xiao Yan Cheng Liu Jiming Hao MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and Engineering North China Electric Power University State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Zachry Department of Civil Engineering Texas A&M University College Station School of Earth and Space Sciences University of Science and Technology of China National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Environmental Protection Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China

Atmospheric glyoxal(GLY) and methylglyoxal(MGLY) are key precursors of secondary organic aerosol(SOA). However, anthropogenic emissions of GLY and MGLY and their contribution to surface GLY and MGLY concentrations, as well as the secondary organic aerosol(SOA) formation, are not well quantified. By developing an emission inventory of anthropogenic GLY and MGLY and improving Community Multiscale Air Quality Model(CMAQ) with SOA formation from irreversible surface uptake of GLY and MGLY, as well as a precursor-origin resolved technique, we quantified the source contributions of GLY and MGLY and their impact on wintertime SOA formation in beijing, China. The total emissions of GLY and MGLY in beijing in 2017 are 1.1×10～4 kmol and 7.0×10～3 kmol, respectively. Anthropogenic primary emissions are found to be the dominant contributor to GLY and MGLY concentrations(～74% for GLY and ～63% for MGLY). Anthropogenic primary emissions of GLY and MGLY contributes to 30% of GLY/MGLY SOA daily average concentration and accounts for up to 45% of nighttime GLY/MGLY SOA. The study suggests that the anthropogenic GLY and MGLY emissions, mainly from gasoline vehicles and cooking, are important for SOA formation and shall be strictly controlled in Chinese megacities.

关键词： SOA Sources of atmospheric glyoxal and methylglyoxal in beijing and its impact on wintertime secondary organic aerosol formation

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NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

arXiv

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arXiv 2022年

作者： Li, Yawei Zhang, Kai Timofte, Radu Van Gool, Luc Kong, Fangyuan Li, Mingxi Liu, Songwei Du, Zongcai Liu, Ding Zhou, Chenhui Chen, Jingyi Han, Qingrui Li, Zheyuan Liu, Yingqi Chen, Xiangyu Cai, Haoming Qiao, Yu Dong, Chao Sun, Long Pan, Jinshan Zhu, Yi Zong, Zhikai Liu, Xiaoxiao Hui, Zheng Yang, Tao Ren, Peiran Xie, Xuansong Hua, Xian-Sheng Wang, Yanbo Ji, Xiaozhong Lin, Chuming Luo, Donghao Tai, Ying Wang, Chengjie Zhang, Zhizhong Xie, Yuan Cheng, Shen Luo, Ziwei Yu, Lei Wen, Zhihong Wu, Qi Li, Youwei Fan, Haoqiang Sun, Jian Liu, Shuaicheng Huang, Yuanfei Jin, Meiguang Huang, Hua Liu, Jing Zhang, Xinjian Wang, Yan Long, Lingshun Li, Gen Zhang, Yuanfan Cao, Zuowei Sun, Lei Alexander, Panaetov Wang, Yucong Cai, Minjie Wang, Li Tian, Lu Wang, Zheyuan Ma, Hongbing Liu, Jie Chen, Chao Cai, Yidong Tang, Jie Wu, Gangshan Wang, Weiran Huang, Shirui Lu, Honglei Liu, Huan Wang, Keyan Chen, Jun Chen, Shi Miao, Yuchun Huang, Zimo Zhang, Lefei Ayazoglu, Mustafa Xiong, Wei Xiong, Chengyi Wang, Fei Li, Hao Wen, Ruimian Yang, Zhijing Zou, Wenbin Zheng, Weixin Ye, Tian Zhang, Yuncheng Kong, Xiangzhen Arora, Aditya Zamir, Syed Waqas Khan, Salman Hayat, Munawar Khan, Fahad Shahbaz Gao, Dandan Zhou, Dengwen Ning, Qian Tang, Jingzhu Huang, Han Wang, Yufei Peng, Zhangheng Li, Haobo Guan, Wenxue Gong, Shenghua Li, Xin Liu, Jun Wang, Wanjun Zeng, Kun Lin, Hanjiang Chen, Xinyu Fang, Jinsheng Zhang, Shuhao Zhang, Yuhao Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Yang, Hao-Hsiang Huang, Zhi-Kai Chen, Wei-Ting Chang, Hua-En Kuo, Sy-Yen Tan, Wei Chen, Hao Xu, Qian Narang, Pratik Singh, Usneek Sameen, Syed Khaitan, Harsh Yinghua, Liu Tianlin, Zhang Xiaoming, Zhang Meng, Dingxuan Tian, Chunwei Morshed, Mashrur M. Ahsan, Ahmad Omar Computer Vision Lab ETH Zurich Switzerland University of Würzburg Germany ByteDance Shenzhen China State Key Laboratory for Novel Software Technology Nanjing University China ByteDance Inc China NetEase Inc. China Shenzhen Institutes of Advanced Technology CAS China University of Macau China Shanghai AI Lab Shanghai China Nanjing University of Science and Technology China Amazon Web Services United States China Alibaba DAMO Academy EFC Yuhang District Zhejiang Hangzhou China East China Normal University China Youtu Lab Tencent China Megvii Technology China University of Electronic Science and Technology of China China School of Artificial Intelligence Beijing Normal University China Alibaba Group China Bilibili AI China Nankai-Baidu Joint Lab Nankai University Tianjin China Platform Technologies Tencent Online Video China Higher School of Economics Russia Huawei Moscow Research Center Russia Hunan University China Xidian University China Xilinx Technology Beijing Limited China College of Information Science and Engineering Xinjiang University Urumqi China Department of Electronic Engineering Tsinghua University Beijing China Nanjing University China McMaster University Canada School of Telecommunication Engineering Xidian University Xi’an China School of Computer Science Wuhan University Wuhan China School of Mathematical Science University of Electronic Science and Technology of China Chengdu China School of Computer Science The University of Sydney Sydney Australia Aselsan Research Ankara Turkey School of Electronic and Information Engineering South-Central University for Nationalities Wuhan China Guangdong University of Technology China Fujian Normal University Fuzhou University Jimei University China Design Group China Abu Dhabi United Arab Emirates Monash University Melbourne Australia Mohamed bin Zayed University of AI United Arab Emirates North China Electric Power University Changping District Beijing China The School of Art

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high resolution images. The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29.00dB on DIV2K validation set. IMDN is set as the baseline for efficiency measurement. The challenge had 3 tracks including the main track (runtime), sub-track one (model complexity), and sub-track two (overall performance). In the main track, the practical runtime performance of the submissions was evaluated. The rank of the teams were determined directly by the absolute value of the average runtime on the validation set and test set. In sub-track one, the number of parameters and FLOPs were considered. And the individual rankings of the two metrics were summed up to determine a final ranking in this track. In sub-track two, all of the five metrics mentioned in the description of the challenge including runtime, parameter count, FLOPs, activations, and memory consumption were considered. Similar to sub-track one, the rankings of five metrics were summed up to determine a final ranking. The challenge had 303 registered participants, and 43 teams made valid submissions. They gauge the state-of-the-art in efficient single image super-resolution. © 2022, CC BY.

关键词： Chemical activation

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Analysis on Application of a Current-source Based DFIG Wind Generator Model

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CSEE Journal of power and Energy Systems 2018年第3期4卷 352-361页

作者： Jin Ma Dawei Zhao Liangzhong Yao Minhui Qian Koji Yamashita Lingzhi Zhu School of Electrical&Electronic Engineering North China Electric Power University(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources)Beijing 102206China Renewable Energy Research Center China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage SystemsJiangsu Engineering Technology Research Center for Energy Storage Conversion and Application)Nanjing 210003China Power System Sector Central Research Institute of Electric Power IndustryTokyo 201-8511Japan

Models for simulation are vital for the authenticity of the *** doubly fed induction generation(DFIG)for power system stability analysis has attracted a great deal of research interests in the past few years due to the wide applications of DFIG in wind power *** models developed by the wind generator manufacturers are not only complicated,but also proprietary and very specific to their own *** simplified generic models have been *** them,the current-source based model is most widely used for power system stability *** validation work on this model so far has been based on the selected simulation scenarios or limited real ***,there has been no systematic and theoretic analysis on the validity of the current-source based model,which may cause inappropriate applications of this type of model in real engineering *** paper presents the conditions for using the current-source based model for power system stability analysis;then examines the model’s validity under symmetrical and asymmetrical fault *** practices for modeling and validating a real wind farm in North China confirm the validity analysis of this work on the current-source based DFIG model.

关键词： Applicationanalysis current-source doublyfed induction generation(DFIG) modelvalidation

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A Novel DC power Flow controller for HVDC Grids with Different Voltage Levels 8

A Novel DC Power Flow Controller for HVDC Grids with Differe...

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8th International power Electronics Conference, IPEC-Niigata - ECCE Asia 2018

作者： Wu, Yarnan Ye, Han Chen, Wu He, Xiaokun State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Beijing China Center for Advanced Power-Conversion Technology and Equipment School of Electrical Engineering Southeast University Nanjing China

ISBN: (纸本)9784886864055

As direct current transmission (HVDC) has been improving rapidly, the power flow control of which is increasingly popular and can be realized by the DC power flow controller. In this paper, a novel DC power flow controller (DCPFC) is proposed with the advantages of simpler strategy, little side effect on direct current system, no auxiliary power source and wide applications. A simulation model with two different DC grids was built in the software PLECS, where the performance of the proposed controller was tested. As a consequence, the simulation results show that the proposed DCPFC would have great performance and prospect. © 2018 IEEJ Industry Application Society.

关键词： controllers

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research on Fault Diagnosis Method Based on FMEA/FTA and Bayesian Network

Research on Fault Diagnosis Method Based on FMEA/FTA and Bay...

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International Conference on Sensing, Diagnostics, Prognostics, and control (SDPC)

作者： Chengbing He Runze Wang Li Ma Xiaobo Li Xiaofeng Jiao Lei Song School of Energy Power and Mechanical Engineering North China Electric Power University Beijing China Inner Mongolia Electric Power Science & Research Institute Inner Mongolia Hohhot China Technology and Engineering Center for Space Utilization line Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728101996

ISBN: (纸本)9781728102009

The construction of Bayesian network (BN) model is a bottleneck problem that needs to be solved urgently in the field of fault diagnosis. Combining failure mode and effect analysis(FMEA) and fault tree analysis(FTA) can solve this problem well. In this paper, a BN model based on FMEA/FTA is proposed. The transformation methods of FMEA to BN and FTA to BN are analyzed. The structural matrix is used to realize the information transformation. The noisy-max model is used to determine the BN parameters. Taking the rub-impact fault between the high pressure rotor and the front shaft seal of a 600 MW turbogenerator unit as an example, the application of the BN model based on FMEA/FTA in fault diagnosis is realized from three aspects which are BN model construction, prior probability and conditional probability assignment, and diagnosis reasoning, respectively.

关键词： Shafts Seals Fault diagnosis power systems Fault trees Noise measurement Rotors

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Condition Evaluation Method of Wind Turbine Based on Real-time Reliability

Condition Evaluation Method of Wind Turbine Based on Real-ti...

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International Conference on Sensing, Diagnostics, Prognostics, and control (SDPC)

作者： Chengbing He Li Ma Runze Wang Xiaobo Li Xiaofeng Jiao Lei Song School of Energy Power and Mechanical Engineering North China Electric Power University Beijing China Inner Mongolia Electric Power Science & Research Institute Inner Mongolia Hohhot China Technology and Engineering Center for Space Utilization line Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728101996

ISBN: (纸本)9781728102009

With the rapid development of wind power generation worldwide, the condition evaluation of wind turbine has received more and more attention. In this paper, wind turbine is divided into three levels: component level, device level, and subsystem level, and the system of condition evaluation is constructed. The real-time reliability analysis model of wind turbine is proposed. The real-time reliability reduction is calculated from component level, equipment level and subsystem level in turn by using variable weight synthesis method. Finally, the condition evaluation of wind turbine is realized. The validity of this method is verified by a case analysis. The research results in this paper can provide decision-making assistance for the management of daily operation and maintenance of wind turbines and improve the operational efficiency of wind farms.

关键词： Wind turbines Reliability Real-time systems Gears Hidden Markov models Analytical models Mathematical model

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Virtual inertia control strategy of doubly-fed induction generator with additional inertia and damping torque 3

Virtual inertia control strategy of doubly-fed induction gen...

引用

3rd International Conference on New Energy and Future Energy System, NEFES 2018

作者： Ren, Q.Y. Qian, M.H. Zhu, C.L. Zhao, D.W. Liu, H.M. Zhu, L.Z. Li, G.J. College of Energy and Electrical Engineering Hohai University Nanjing211100 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application China Electric Power Research Institute Nanjing China

Doubly-fed induction generator (DFIG) with dual Pulse-Width Modulation (PWM) converter cannot maintain the active power balance or voltage stability of the power grid self-synchronously because of lacking mechanical inertia and mechanical damping. The virtual synchronous generator (VSG) technology can help solve this problem through simulating the mechanical equation and electromagnetic equation of synchronous generator to control the grid-connected converter. However, under the common first-order virtual inertia link used in the VSG control scheme, while DFIG providing active power support, there exists second frequency dip and the rotor speed recovers slowly, which is not conducive for DFIG to provide continuous and effective virtual inertia support. In order to overcome the drawbacks as well as avoid second frequency dip, this paper puts forward a virtual inertia control strategy of DFIG with additional inertia and damping torque. The additional torque is achieved by proportional-derivative (PD) controller with rotor slip as an input signal. Simulation results on DIgSILENT/powerfactory platform show that the proposed control strategy is effective to reduce frequency deviation and recover the rotor speed faster without second frequency dip phenomenon. © Published under licence by IOP Publishing Ltd.

关键词： Synchronous generators

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The design of special energy conversion device of integrated self-powered brake system

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Journal of Physics: Conference Series 2021年第1期2029卷

作者： Weizhi Qiao Ding-bo Li Xiang Gao Xiaochao Liu Hao Zhang Renjie Li Xiyu Wang Yanze Hou Chong Chen Ningbo Institute of Technology Beihang University Ningbo 315800 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 China Research Institute for Frontier Science Beihang University Beijing 100191 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing 100094 China

In recent years, a novel electro-hydraulic integrated self-powered brake system for aircraft has been proposed. A modular "self-powered device" is installed near the wheel to recover the rotational kinetic energy when the wheel lands and convert it into hydraulic energy for braking. The energy conversion device is the compact high-power-weight ratio energy harvesting mechanism, which needs to be designed in the extremely narrow internal space of the wheel. At the same time to ensure high reliability, high strength, high power weight ratio, difficult, and wheel brake disc internal temperature reaches 600 °C above, this to the design of the can take institutions are challenges. In this paper, the high strength compact high power-weight ratio energy conversion device as the research goal, through new principles, new structure, new materials, new technology, new methods and other means of the energy taking mechanism design and development, and finally achieve the strength, stiffness, reliability, life of the energy conversion device to meet the requirements of the system.

关键词：

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A multi-level reactive power control strategy for PV power plant based on sensitivity analysis

A multi-level reactive power control strategy for PV power p...

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2018 China International Conference on Electricity Distribution, CICED 2018

作者： Minhui, Qian Qin, Hao Dawei, Zhao Chen, Ning Dajun, Jiang Ningbo, Wang Chen, Zhao Nanjing Jiangsu Province210003 China Changping District Beijing102206 China Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application China Electric Power Research Institute Nanjing Jiangsu Province210003 China Wind Power Technology Center of Gansu Electric Power Company Lanzhou Jiangsu Province730050 China

ISBN: (纸本)9781538667750

In order to make full use of the ability of photovoltaic (PV) units to regulate their own reactive power to participate in voltage stability control of power system, this paper takes full account of the interaction between power grid and PV power plant and proposes a multi-level reactive power control strategy based on sensitivity analysis for PV plant. Firstly, reference of reactive power is calculated combined with the analysis of reactive power and voltage sensitivity of PV power plant and the operation status of power grid. Secondly, reactive power command is allocated to each PV unit according to the reactive power margin. Finally, a reactive power control system model based on an actual PV plant project is established to verify the correctness of proposed strategy in this paper. © 2018 IEEE

关键词： Sensitivity analysis

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A Decentralized frequency regulation strategy of PV power Plant based on droop control

A Decentralized frequency regulation strategy of PV Power Pl...

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2018 China International Conference on Electricity Distribution, CICED 2018

作者： Dawei, Zhao Minhui, Qian Ma, Jin Dajun, Jiang Maosheng, Ding Xiang, Li Nanjing Jiangsu Province210003 China Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application China Electric Power Research Institute Nanjing Jiangsu Province210003 China Changping District Beijing102206 China University of Sydney SydneyNSW2006 Australia State Grid Ningxia Electric Power Company Limited Yinchuan750001 China

ISBN: (纸本)9781538667750

In order to make full use of the active function of the photovoltaic (PV) power unit itself, a decentralized frequency regulation strategy for PV plant is proposed based on droop control idea in this paper. The active power regulation value, as an additional active power reference, is obtained according to the frequency regulation coefficient of PV unit;then the active power output of the PV unit is quickly regulated to the reference value, so that the frequency recovery of power system is restored. Since each PV unit in the power plant can achieve frequency regulation directly through the change of terminal frequency value, the response time will be faster than other control modes. Finally, a PV power plant which adopts the decentralized frequency regulation system is modelled on the DIgSILENT powerFactory platform, and the control effect of the decentralized frequency regulation is verified by simulation results under different disturbances. © 2018 IEEE

关键词： Simulation platform

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