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Corrigendum to: The TianQin project: current progress on science and technology

Progress of Theoretical and Experimental Physics 2021年第5期2021卷

作者： Mei, Jianwei Bai, Yan-Zheng Bao, Jiahui Barausse, Enrico Cai, Lin Canuto, Enrico Cao, Bin Chen, Wei-Ming Chen, Yu Ding, Yan-Wei Duan, Hui-Zong Fan, Huimin Feng, Wen-Fan Fu, Honglin Gao, Qing Gao, TianQuan Gong, Yungui Gou, Xingyu Gu, Chao-Zheng Gu, De-Feng He, Zi-Qi Hendry, Martin Hong, Wei Hu, Xin-Chun Hu, Yi-Ming Hu, Yuexin Huang, Shun-Jia Huang, Xiang-Qing Jiang, Qinghua Jiang, Yuan-Ze Jiang, Yun Jiang, Zhen Jin, Hong-Ming Korol, Valeriya Li, Hong-Yin Li, Ming Li, Pengcheng Li, Rongwang Li, Yuqiang Li, Zhu Li, Zhulian Li, Zhu-Xi Liang, Yu-Rong Liang, Zheng-Cheng Liao, Fang-Jie Liu, Qi Liu, Shuai Liu, Yan-Chong Liu, Li Liu, Pei-Bo Liu, Xuhui Liu, Yuan Lu, Xiong-Fei Lu, Yang Lu, Ze-Huang Luo, Yan Luo, Zhi-Cai Milyukov, Vadim Ming, Min Pi, Xiaoyu Qin, Chenggang Qu, Shao-Bo Sesana, Alberto Shao, Chenggang Shi, Changfu Su, Wei Tan, Ding-Yin Tan, Yujie Tan, Zhuangbin Tu, Liang-Cheng Wang, Bin Wang, Cheng-Rui Wang, Fengbin Wang, Guan-Fang Wang, Haitian Wang, Jian Wang, Lijiao Wang, Panpan Wang, Xudong Wang, Yan Wang, Yi-Fan Wei, Ran Wu, Shu-Chao Xiao, Chun-Yu Xu, Xiao-Shi Xue, Chao Yang, Fang-Chao Yang, Liang Yang, Ming-Lin Yang, Shan-Qing Ye, Bobing Yeh, Hsien-Chi Yu, Shenghua Zhai, Dongsheng Zhang, Caishi Zhang, Haitao Zhang, Jian-dong Zhang, Jie Zhang, Lihua Zhang, Xin Zhang, Xuefeng Zhou, Hao Zhou, Ming-Yue Zhou, Ze-Bing Zhu, Dong-Dong Zi, Tie-Guang Luo, Jun TianQin Research Center for Gravitational Physics & School of Physics and Astronomy Sun Yat-sen University (Zhuhai Campus) Zhuhai 519082 P.R. China Centre for Gravitational Experiments School of Physics MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics PGMF Huazhong University of Science and Technology Wuhan 430074 P.R. China SISSA Via Bonomea 265 34136 Trieste Italy and INFN Sezione di Trieste & IFPU – Institute for Fundamental Physics of the Universe Via Beirut 2 34014 Trieste Italy Former Faculty Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy Yunnan Observatories Chinese Academy of Sciences Kunming 650011 China School of Physical Science and Technology Southwest University Chongqing 400715 China Beijing Institute of Control Engineering Beijing 100094 P.R. China SUPA School of Physics and Astronomy University of Glasgow Glasgow G12 8QQ UK DFH Satellite Co. Ltd. Beijing 100094 P.R. China National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing 100049 China School of Physics and Astronomy University of Birmingham Birmingham B15 2TT United Kingdom Center for High Energy Physics & Department of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University No. 5 Yiheyuan Rd Beijing 100871 P.R. China Lomonosov Moscow State University Sternberg Astronomical Institute Moscow 119992 Russia Dipartimento di Fisica “G. Occhialini” Universitá degli Studi Milano Bicocca Piazza della Scienza 3 I-20126 Milano Italy School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai 200240 China Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210023 & School of Astronomy and Space Science University of Science and Technology of China Hefei Anhui 230026 P.R. China Max-Planck-Institut für Gravitationsphysik (Al

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Global diversity and biogeography of bacterial communities in wastewater treatment plants (vol 4, pg 1183, 2019)

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NATURE MICROBIOLOGY 2019年第12期4卷 2579-2579页

作者： Wu, Linwei Ning, Daliang Zhang, Bing Li, Yong Zhang, Ping Shan, Xiaoyu Zhang, Qiuting Brown, Mathew Robert Li, Zhenxin Van Nostrand, Joy D. Ling, Fangqiong Xiao, Naijia Zhang, Ya Vierheilig, Julia Wells, George F. Yang, Yunfeng Deng, Ye Tu, Qichao Wang, Aijie Zhang, Tong He, Zhili Keller, Jurg Nielsen, Per H. Alvarez, Pedro J. J. Criddle, Craig S. Wagner, Michael Tiedje, James M. He, Qiang Curtis, Thomas P. Stahl, David A. Alvarez-Cohen, Lisa Rittmann, Bruce E. Wen, Xianghua Zhou, Jizhong State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing China Institute for Environmental Genomics Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences University of Oklahoma Norman USA Consolidated Core Laboratory University of Oklahoma Norman USA College of Resource and Environment Southwest University Chongqing China Alkek Center for Metagenomics and Microbiome Research Department of Molecular Virology and Microbiology Baylor College of Medicine Houston USA School of Engineering Newcastle University Newcastle upon Tyne UK School of Environment Northeastern Normal University Changchun China Department of Energy Environmental and Chemical Engineering Washington University in St Louis St Louis USA Department of Microbiology and Ecosystem Science Division of Microbial Ecology Research Network ‘Chemistry meets Microbiology’ University of Vienna Vienna Austria Karl Landsteiner University of Health Sciences Division of Water Quality and Health Krems Austria and Interuniversity Cooperation Centre for Water and Health Krems Austria Department of Civil and Environmental Engineering Northwestern University Evanston USA Institute for Marine Science and Technology Shandong University Qingdao China Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China Environmental Biotechnology Laboratory The University of Hong Kong Hong Kong China Environmental Microbiomics Research Center School of Environmental Science and Engineering Sun Yat-Sen University Guangzhou China Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology Guangzhou China Advanced Water Management Centre The University of Queensland Brisbane Australia Department of Chemistry and Bioscience Center for Microbial Communities Aalborg University Aalborg Denmark Department of Civil and Environmental Engineering Ric

Microorganisms in wastewater treatment plants (WWTPs) are essential for water purification to protect public and environmental health. However, the diversity of microorganisms and the factors that control it are poorly understood. Using a systematic global-sampling effort, we analysed the 16S ribosomal RNA gene sequences from ~1,200 activated sludge samples taken from 269 WWTPs in 23 countries on 6 continents. Our analyses revealed that the global activated sludge bacterial communities contain ~1 billion bacterial phylotypes with a Poisson lognormal diversity distribution. Despite this high diversity, activated sludge has a small, global core bacterial community (n= 28 operational taxonomic units) that is strongly linked to activated sludge performance. Meta-analyses with global datasets associate the activated sludge microbiomes most closely to freshwater populations. In contrast to macroorganism diversity, activated sludge bacterial communities show no latitudinal gradient. Furthermore, their spatial turnover is scale-dependent and appears to be largely driven by stochastic processes (dispersal and drift), although deterministic factors (temperature and organic input) are also important. Our findings enhance our mechanistic understanding of the global diversity and biogeography of activated sludge bacterial communities within a theoretical ecology framework and have important implications for microbial ecology and wastewater treatment processes.

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Application of Virtual Synchronous Generator in Solar Power Generation

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Journal of Physics: Conference Series 2018年第6期1087卷

作者： Jianjun Su Wenbo Li Hengjie Liu Fanmin Meng Long Wang Xueshan Han State Grid Shandong Electric Power Research Institute China State Grid Laiwu Power Supply Company China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China

For the virtual synchronous control strategy of grid-connected inverters, the impact of the output response of the change of source is mainly analyzed, and the response time is calculated to lay a theoretical foundation for the system economic dispatch. First, the photovoltaic cell model is introduced, as well as the mathematical model and control strategy of the virtual synchronous generator. Then the optimal configuration of the source input is analyzed under different inertia and virtual damping conditions. The results show that the virtual inertia and damping coefficient of the inverter are closely related to the energy density and response time of the source input. Finally, a simple simulation model is given to observe the influence of the output change of the source on the response of the inverter output.

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A Unified DC-AC Power Flow Algorithm of Distribution Network with Distributed Generation

A Unified DC-AC Power Flow Algorithm of Distribution Network...

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2017 5th International Conference on Mechatronics,Materials,Chemistry and Computer Engineering(ICMMCCE 2017)

作者： Wenbo Li Keqiang Li Donglei Sun Lulu Li Chunlong Chen Si Yang State Grid Shandong Electric Power Research Institute Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Economic&Technology Research Institute State Grid Shandong Electric Power Company

With the development of rectification technology and DC equipment, hybrid DC-AC transmission has arisen in the distribution network. In addition, the penetration of distributed generation(DG) in the distribution network makes the analysis of power system more complicated. As a key measure of grid programming and operating, a practical power flow method of DC-AC distribution network is urgent to study. Firstly, the mathematical model of DGs is given in this paper, and the analysis of the operation and control mode of DC-AC distribution system with voltage source converter(VSC) is conducted. Then a calculation method of hybrid DC-AC distribution system with DGs is proposed, in which constant-power DG, voltage controlled DG and DG with voltage static characteristic is concerned. An improved forward backward sweep method is given, concerning VSC, AC circuits, DC circuits and various type of DGs, which achieves the purpose of unified DC-AC power flow calculation. Finally, case study for a 90-node distribution network with DG integration is conducted to demonstrate the effectiveness of the method.

关键词： DC-AC distribution network voltage source converter distributed generation power flow forward backward sweep method

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Study on Electricity Business Expansion and Electricity Sales Based on Seasonal Adjustment

Study on Electricity Business Expansion and Electricity Sale...

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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Yumin Zhang Xueshan Han Yong Wang Li Zhang Guangsen Yang Donglei Sun Bolun Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University State Grid Jiangsu Electric Power Maintenance Branch Company Economic & Technology Research Institute of State Grid Shandong Electric Power Company

[1] proposed a novel analysis and forecast method of electricity business expansion based on Seasonal Adjustment, we extend this work to include the effect the micro and macro aspects, respectively. From micro aspect, we introduce the concept of load factor to forecast the stable value of electricity consumption of single new consumer after the installation of new capacity of the high-voltage transformer. From macro aspects, considering the growth of business expanding is also stimulated by the growth of electricity sales, it is necessary to analyse the antecedent relationship between business expanding and electricity sales. First, forecast electricity consumption of customer group and release rules of expanding capacity, respectively. Second, contrast the degree of fitting and prediction accuracy to find out the antecedence relationship and analyse the reason. Also, it can be used as a contrast to observe the influence of customer group in different ranges on the prediction precision. Finally, simulation results indicate that the proposed method is accurate to help determine the value of expanding capacity and electricity consumption.

关键词： Study on Electricity Business Expansion and Electricity Sales Based on Seasonal Adjustment

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Stabilization and assessment of interaction dynamics for More Electric Aircraft

Stabilization and assessment of interaction dynamics for Mor...

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International Conference on Power Electronics and Motion control (IPEMC)

作者： Xuan Zhang Lie Xu Yongdong Li Zedong Zheng Kui Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781509012114

This paper proposes a novel active stabilization method based on reshaping the output impedance of the source-side PWM rectifier for More Electric Aircraft (MEA) power system. A nonlinear compensation signal is injected into AC voltage command of PWM rectifier to adding a virtual resistor paralleled with DC bus capacitor. Thus, the instability caused by constant power loads (CPLs) can be neutralized. Compared to conventional active damping methods, the value of compensation signal can be expressed by the virtual resistor so that the physical mechanism of stability improvement can be clarified. Besides, all remote sensors providing load input voltages can be removed. Stability and sensitivity of the proposed active stabilization method are analyzed qualitatively. The interaction dynamics of passive devices, such as LC filters of CPLs and DC capacitors on source side are discussed. simulation results validate the effectiveness of the proposed method.

关键词： Damping Pulse width modulation Rectifiers Power system stability Capacitors Stability analysis Mathematical model

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Active steering control strategy for articulated vehicles

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Frontiers of Information Technology and Electronic Engineering 2016年第6期17卷 576-586页

作者： Kim, Kyong-il Guan, Hsin Wang, Bo Guo, Rui Liang, Fan State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130022 China School of Mechanical Science and Technology Kim Chaek University of Technology Pyongyang 999093 North Korea

To improve maneuverability and stability of articulated vehicles, we design an active steering controller, including tractor and trailer controllers, based on linear quadratic regulator (LQR) theory. First, a three-degree-of-freedom (3-DOF) model of the tractor-trailer with steered trailer axles is built. The simulated annealing particle swarm optimization (SAPSO) algorithm is applied to identify the key parameters of the model under specified vehicle speed and steering wheel angle. Thus, the key parameters of the simplified model can be obtained according to the vehicle conditions using an online look-up table and interpolation. simulation results show that vehicle parameter outputs of the simplified model and TruckSim agree well, thus providing the ideal reference yaw rate for the controller. Then the active steering controller of the tractor and trailer based on LQR is designed to follow the desired yaw rate and minimize their side-slip angle of the center of gravity (CG) at the same time. Finally, simulation tests at both low speed and high speed are conducted based on the TruckSim-Simulink program. The results show significant effects on the active steering controller on improving maneuverability at low speed and lateral stability at high speed for the articulated vehicle. The control strategy is applicable for steering not only along gentle curves but also along sharp curves. © 2016, Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg.

关键词： Articulated vehicle Lateral stability Linear quadratic regulator (LQR) Sharp curve

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Modelling and control of doubly fed variable-speed pumped storage units for grid power regulation

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The Journal of Engineering 2017年第13期2017卷 745-750页

作者： Zhao Guopeng Zhao Qiang Ren Jiyun Song Xiaofang Han Minxiao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 People's Republic of China School of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 People's Republic of China State Key Laboratory of Smart Grid Protection and Control Nanjing 211006 Jiangsu Province People's Republic of China

With the expending scale of the power grid and the substantial development of renewable energy generation system, the demand for power quality is becoming more and more significant. The doubly fed pumped storage can be an effective method to control the power of the power grid and restrain the power grid fluctuation caused by renewable energy generation. First, this study introduces the structure of doubly fed pumped storage unit, and analyses the mathematical model of reversible hydraulic pump turbine, doubly fed induction generator (DFIG) and control strategy of the converter. On the basis of the model of reversible hydraulic pump turbine and DFIG, control strategies of the dq decoupling and synchronous rotating coordinate system are studied to output the active and reactive power. Second, the models of generating mode and pumping mode for the doubly fed pumped storage unit are established. Third, for the grid power regulation, active power and speed control strategy in generating mode, pumping mode are put forward. Finally, the model of doubly fed pumped storage unit of 300 MW is established in MATLAB/Simulink. The proposed control strategy is verified by the simulation results.

关键词： wind power plants machine control pumped-storage power stations velocity control asynchronous generators power generation control pumps power grids pumping mode doubly fed pumped storage unit grid power regulation active power speed control strategy renewable energy generation system power quality power grid fluctuation reversible hydraulic pump turbine output reactive powers

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A Condition-based Maintenance Strategy Considering Opportunistic Maintenance In Multiple Failure Modes

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IOP Conference Series: Earth and Environmental Science 2018年第6期186卷

作者： Si Yang Yan Wang Yijing Xu Mingqiang Wang Donglei Sun Wenbo Li State Grid Shandong Economic & Technology Research Institute China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Shandong Electric Power Research Institute China

Multi-components electrical equipment has multiple failure modes. In the context of condition-based maintenance, it is inefficient if executing maintenance for a particular failure mode. Based on analysis of economic independence, opportunistic maintenance is a special preventive maintenance which can coordinate different maintenance for multiple failure mode. Furthermore, steady availability of equipment was quantified with inspection frequency and opportunistic maintenance strategy. Finally, maximizing steady availability of equipment with inspection frequency constraints to construct model. Feasibility and validity of the model are investigated through case study.

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Occurrence and source apportionment of Per-and poly-fluorinated compounds (PFCs) in North Canal Basin, Beijing

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Scientific Reports 2016年第1期6卷 1-9页

作者： Zhang, Yi-Zhe Wang, Bin Wang, Wei Li, Wen-Chao Huang, Jun Deng, Shu-Bo Wang, Yu-Jue Yu, Gang Beijing Key Laboratory of Emerging Organic Contaminants Control State Key Joint Laboratory of Environmental Simulation and Pollution Control Collaborative Innovation Center for Regional Environmental Quality Beijing 100084 China CSD IDEA (Beijing) Environmental Test and Analysis Co. Ltd. Beijing 100192 China

Various per-and poly-fluorinated compounds (PFCs) were first systematically investigated in North Canal Basin, Beijing, China. A total of 68 surface water samples were collected from North Canal Basin, Beijing, at high spatial resolution. The seasonal disparity was compared and associated with source variation. PFCs concentrations in low-water period ranged from 26 to 207 ng/L, and significantly declined levels were found in high-water period. The individual component proportions among different sites varied less in high-water period, when runoff played a role in mixing and diluting PFCs. A methodology combined with principal component analysis (PCA), heat map-hierarchical cluster analysis (HM-HCA), and correlation analysis were introduced to discriminate sources of PFCs in surface water. The statistical results agreed with each other, and daily domestic consumption, fire-fighting products and related industries were identified as sources of PFCs in this region. In addition, two composition ratios were proposed through the methodology to distinguish the impact of nonpoint source, and the outcome demonstrates that great disparities exist in compositional profiles between nonpoint source and others. Overall, the results showed that this comprehensive analysis method has great potential for source apportionment in surface water and other environmental compartments.

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