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Terrestrial Water Storage Changes of Qinghai Lake on the Tibetan Plateau From Joint Inversion of GNSS and InSAR Data

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Water Resources Research 2025年第6期61卷

作者： Hai Zhu Kejie Chen Mingjia Li Shunqiang Hu Guoqing Zhang Xingxing Kuang Wenfeng Cui Shengpeng Zhang Junguo Liu Department of Earth and Space Sciences Southern University of Science and Technology Shenzhen China Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology Southern University of Science and Technology Shenzhen China Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education Jiangxi Normal University Nanchang China State Key Laboratory of Tibetan Plateau Earth System Science Environment and Resources (TPESER) Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China Guangdong-Hong Kong Joint Laboratory for Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China Qinghai Provincial Key Laboratory of Geomatics Technology and Application Xining China Qinghai Provincial Basic Surveying and Mapping Institute Xining China Henan Provincial Key Lab of Hydrosphere and Watershed Water Security North China University of Water Resources and Electric Power Zhengzhou China

Although geodetic techniques like Gravity Recovery and Climate Experiment have been widely applied to investigate terrestrial water storage (TWS) variations at regional or basin scales on the Tibetan Plateau (TP) caused by global warming, their coarse spatial has limited the study of individual lakes. In this study, we overcome this limitation by jointly using Global Navigation Satellite system (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) data to generate a high-precision, high-resolution surface deformation field, enabling the quantitative assessment of TWS changes for Qinghai Lake, from January 2016 to December 2022. By leveraging Independent Component Analysis to extract surface deformation induced by lake hydrological loads, we find that the deformation caused by Qinghai Lake's hydrological changes is spatially limited to within approximately 25 km of the lake and is largely overshadowed by regional background loads of the TP. The region surrounding Qinghai Lake exhibited an overall trend of initial subsidence (from January 2016 to August 2019, −2.89 to −0.30 mm/yr) followed by uplift (from September 2019 to December 2022, 2.20 to 4.89 mm/yr), primarily driven by variations in precipitation patterns. Notably, we found that lake water volume increase accounts for up to 86% of the total TWS changes in Qinghai Lake, underscoring the relatively marginal role of groundwater compared to previous assessments in Inner TP where groundwater accounted for 34% of TWS changes. This study demonstrates the effectiveness of integrating GNSS and InSAR data to overcome spatial resolution limitations, providing detailed insights into the hydrological dynamics of individual lakes like Qinghai Lake, and contributes to a more comprehensive understanding of TP's hydrological changes under the influence of climate change. Integrated GNSS-InSAR reveals that Qinghai Lake hydrological changes influenced surface deformation within ∼25 km during 2011–2023 Deformation around Q

关键词： GNSS InSAR joint inversion loading deformation lake storage monitoring

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Fast Estimation of Total Transfer Capability Considering both Load and Source Uncertainties

Fast Estimation of Total Transfer Capability Considering bot...

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Sustainable power and Energy Conference (iSPEC)

作者： Wenfeng Liu Yutian Liu Liudong Zhang Haiwei Wu Qibing Zhang Ming Yang Key Laboratory of Power System Shandong University Jinan China Jiangsu Electric Power Dispatching and Control Center State Grid Jiangsu Electric Power Company Nanjing China

With the development of smart grid and new energy technologies, both load and source uncertainties need be considered in the calculation of total transfer capability (TTC) of power system transmission. Based on deep learning technology and the improved multi-point estimation method, a fast TTC estimation method considering uncertainties of load power, demand response and wind power generation is proposed. The uncertainties are represented by probability distribution of prediction error and Nataf transformation is introduced to deal with the non-normal probability distributions and their correlations. The stacked denoising autoencoder is employed to estimate TTCs of operating scenarios generated by Nataf transform and the improved multi-point estimation method is used to obtain their probability. simulation results demonstrate that the fast estimation method is able to consider both load and source uncertainties effectively and calculate TTC fast and accurately.

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Data-Driven Modeling & Analysis of Dynamic Wake for Wind Farm control: A Comparison Study

Data-Driven Modeling & Analysis of Dynamic Wake for Wind Far...

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Chinese Automation Congress (CAC)

作者： Zhenyu Chen Bart M Doekemeijer Zhongwei Lin Zhen Xie Zongming Si Jizhen Liu Jan-Willem van Wingerden State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control Computer and Engineering North China Electric Power University Beijing China Delft Center for Systems and Control (DCSC) Faculty of Mechanical Maritime and Materials Engineering (3mE) Delft University of Technology The Netherlands CHN ENERGY (Shandong) New Energy Co. Ltd Jinan PR China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

For the study of wind farm and wake effect, the steady-state wake models like FLORIS were proposed and used during wind farm operations to achieve higher wind power utilization and conversion. However, the dynamic performance of the wake should also be involved in favor of better optimizations. In this paper, a data-driven analysis and modeling method, dynamic mode decomposition (DMD), is used to construct dynamic flow model with high-fidelity flow data. Two DMD-derived models are constructed based on flow data in three-dimensional and two-dimensional spaces, respectively. The obtained models and respective flows are compared in the time and frequency domain. Results show that both models have apparent differences in the frequency domain, but the dominant wake characteristics' consistency is maintained.

关键词： Wind turbines Wind farms Analytical models Mathematical model Computational modeling Solid modeling Wind speed

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An Obstacles Avoidance Algorithm Based on Improved Artificial Potential Field

An Obstacles Avoidance Algorithm Based on Improved Artificia...

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IEEE International Conference on Mechatronics and Automation

作者： Si Xi Lu En Li Rui Guo School of Artificial Intelligence University of Chinese Academy of Sciences No.19(A) Yuquan Road Beijing China The State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Science 95 East ZhongGuanCun Road Beijing China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Obstacle avoidance is one of the most important issue in the motion planning and control of robot. There are many algorithms to avoid obstacles, but obstacle avoidance algorithm for manipulator is needed consider not only end effector, but also all links of manipulator. In terms of real-time and speed of all system, the algorithm also should be easy as possible. In this paper, an algorithm based on the improved artificial potential field is proposed to solve the problem of the local optimum. The idea of improvement is to find a path by fitting curve with target point and critical oscillating points. There is also a comparison in this paper with planning a path by tangent line. The conclusion proves that the path is much smoother by the algorithm based on improved artificial potential field in this paper. Furthermore, the problem of judder on the trajectory of traditional artificial potential field is also solved in this paper by an improved repulsive potential field function. Finally, the algorithm is proved by planning a smooth path for obstacle avoidance on manipulator: KinovaGen3 in MATLAB.

关键词： Mechatronics Fitting End effectors Real-time systems Planning Trajectory Collision avoidance

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reversible in-situ exsolution of Fe catalyst in La0.5Sr1.5Fe1.5Mo0.5O6-δ anode for SOFCs 16

reversible in-situ exsolution of Fe catalyst in La0.5Sr1.5Fe...

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16th International Symposium on Solid Oxide Fuel Cells, SOFC 2019

作者： Qi, H. Yang, T. Li, W. Ma, L. Hu, S. Shi, W. Sabolsky, E.M. Zondlo, J. Hart, R. Hackett, G.A. Liu, X. Department of Mechanical and Aerospace Engineering West Virginia University MorgantownWV26506 United States National Energy Technology Laboratory MorgantownWV26505 United States Oak Ridge Institute for Science and Education P.O. Box 117 Oak RidgeTN37830 United States Department of Energy and Power Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing10083 China GE Global Research Centre NiskayunaNY12309 United States

ISBN: (纸本)9781607688747

In-situ exsolution is widely considered to be an efficient and cost-effective method to enhance the electrochemical performance of a ceramic anode in solid oxide fuel cells (SOFCs). In this study, by controlling the non-stoichiometry of Sr2Fe1.5Mo0.5O6-δ with A-site doping, evenly distributed Fe nano-particles (~100 nm) were obtained on surface of La0.5Sr1.5Fe1.5Mo0.5O6-δ (LSFM) when treated in hydrogen. In a redox environment, excellent exsolution-dissolution reversibility was also demonstrated. Electrical conductivity relaxation (ECR) and electrochemical impedance spectroscopy (EIS) were employed to evaluate the surface reaction kinetics change during exsolution. The surface exchange coefficient (kex) was increased by 1.5 to 2 times with Fe exsolution. Based on distribution of relaxation time (DRT) analysis, the polarization resistance (Rp) associating with surface process was reduced in the first few hours. Both results revealed an enhanced surface reaction kinetics which mainly benefits from the high catalytic activity of exsolved nano-particles to H2 adsorption and dissociation process. © The Electrochemical Society.

关键词： Electrochemical impedance spectroscopy

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Multi-objective optimization of wind turbine via controllers coordination and sensitivity analysis 8

Multi-objective optimization of wind turbine via controllers...

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8th Renewable power Generation Conference, RPG 2019

作者： Chen, Zhenyu Lin, Zhongwei Wang, Chuanxi Han, Xiangyu Li, Gengda Hu, Feng Si, Zongming State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China Guodian New Energy Technology Research Institute Co. Ltd Beijing102209 China New Energy Co. Ltd Jinan250099 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

In this paper, a sensitivity-analysis-based wind turbine optimization strategy is introduced to improve the power output stability while reducing the shaft and tower loads. Both generator torque and blade pitch are controlled coordinately to achieve the optimization. During the wind turbine control process, blade pitch and generator torque are controlled proportionally to the generator speed tracking error, which simplifies the controller structure, thus, the wind turbine performance can be evaluated with control variables sensitivities directly. The wind turbine performance is considered in output power stability, shaft bending moment and tower bending moment. Both load parameters are analysed in fatigue damage lifetime. A conflicting relationship is realized between the load-power characteristic during the optimization, and a global coordination solution is selected on the pareto optimal frontier. Essential, this work is an exploration for the quantitative analysis from the wind turbine load performance to the control variables sensitivities directly without the limitation of controller forms. simulation results show the effectiveness of the proposed controller. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Multiobjective optimization

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Multi-objecive LPV control of wind energy conversion system under wide-scale operating conditions 8

Multi-objecive LPV control of wind energy conversion system ...

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8th Renewable power Generation Conference, RPG 2019

作者： Qu, Chenzhi Lin, Zhongwei Xie, Zhen Li, Yilin Zhang, Shangang Li, Xiongwei Duan, Zhenqing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China New Energy Co. Ltd Jinan250099 China Guodian New Energy Technology Research Institute Co. Ltd Beijing102209 China

ISBN: (纸本)9781839531255

Wind energy conversion system (WECS) is essentially a time-varying system with high nonlinear characteristics, which leads to the difficulty of guaranteeing the control performance in a wide-scale operating conditions for the conventional linear control strategies. In this paper, a linear-parameter-varying (LPV) gain-scheduled controller is proposed for variable-speed-variable-pitch wind turbines above rated wind speed, which improves both steady- and dynamic-response performances under wide-scale operating conditions. Firstly, the H2/H∞ technique is adopted to reduce the rated power tracking errors, while enhancing the robustness against high-frequency turbulence. Secondly, the regional pole placement technique is applied on WECS, which builds the connections to the dynamic response performance. To verify the effectiveness of the proposed method, the simulation is implemented on the NREL 5 MW wind turbine, which is compared with the conventional local linear control strategy with a full analysis on the related performances. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Wind power

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Method for Single-phase Electric Meter Phase Discrimination Based on Multiple Linear Regression

Method for Single-phase Electric Meter Phase Discrimination ...

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International Conference on Advanced power system Automation and Protection (APAP)

作者： Liqiang Zhang Wei Cong Gang Dong Yun Sun Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

The phase information of single-phase electric meter is crucial to improve the level of load management and the quality of modeling. A method for single-phase electric meter phase discrimination based on multiple linear regression (MLR) is proposed. The MLR equation takes the single-phase electric meter voltage as the dependent variable. Meanwhile, it takes the gateway meter voltage, the gateway meter current and the single-phase electric meter current as the independent variables. Each single-phase meter forms a regression equation with the gateway meter A, B and C respectively. The determination coefficients of the three regression equations are calculated. According to the value of the coefficients, the phase of single-phase electric meter is discriminated. An example is given to analyze the proposed method with actual energy meter reading data. The analysis results show that the proposed method has higher accuracy and reliability.

关键词： Meters Mathematical model Logic gates Voltage measurement power supplies Correlation power measurement

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Powpower system state estimation based on Ɛ-fuzzy tree method

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Dianli Xitong Baohu yu Kongzhi/power system Protection and control 2019年第5期47卷 138-144页

作者： Zhang, Yue Shan, Lianfei Yu, Jianming Zhang, Jianan Zhang, Wenguang NARI Group Corporation Co. Ltd. State Grid Electric Power Research Institute Co. Ltd. Nanjing211106 China Beijing KeDong Electric Power Control System Co. Ltd. Beijing100192 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China

power system state estimation plays an important role in Energy Management system (EMS). To improve the performance of state estimation, a power system state estimation method based on Ɛ-fuzzy tree (Ɛ-FT) is proposed. Taken 500 kV bus of Fuzhou power grid as the research target, the network structure is analyzed to extract the measurement variables information and select the variables, the obtained feature matrix is used as the input of Ɛ-FT to establish the Ɛ-FT model of 500 kV bus voltage amplitude, which is made a comparison with other modeling methods. Then, the bad data of measurement variables is used to validate the robustness of the proposed state estimation method. The results show that the method can effectively resist the bad data of measurement variables, and have higher prediction accuracy and robustness. Besides, the bad data can be limited locally to reduce the impact on the entire power grid state estimation. © 2019, power system Protection and control Press. All right reserved.

关键词： state estimation

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Engineering a High-Selectivity PVDF Hollow-Fiber Membrane for Cesium Removal

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Engineering 2019年第5期5卷 865-871页

作者： Shiyuan Ding Lilan Zhang Yang Li Li’an Hou Institute of Surface-Earth System Science Tianjin UniversityTianjin 300072China Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim Tianjin UniversityTianjin 300072China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400044China State Key Laboratory of Water Environment Simulation Beijing Normal UniversityBeijing 100875China Xi’an High-Tech Institute Xi’an 710025China

In this study,a copper ferrocyanide/silica/polyvinylidene fluoride(CuFC/SiO2/PVDF)hollow-fiber composite membrane was successfully synthesized through a facile and effective crosslinking *** PVDF hollow-fiber membrane with embedded SiO2 was used to fix the dispersion of CuFC nanoparticles for cesium(Cs)*** surface morphology and chemical composition of the composite membrane were analyzed using scanning electron microscopy and X-ray photoelectron spectroscopy(XPS).The composite membrane showed a high Cs rejection rate and membrane flux at the three layers of CuFC and 0.5%SiO2,and its Cs rejection rate was not affected by variation in the pH(pH=4–10).The modified membrane could be effectively regenerated many times using ammonium nitrate(NH4NO3).The Cs selectivity performance was verified by an efficient Cs rejection rate(76.25%and 88.67%in 8 h)in a solution of 100 lg L 1 of Cs with 1 mmol L 1 of competing cations(K+and Na+).The CuFC/SiO2/PVDF hollowfiber composite membrane showed a particularly superior removal performance(greater than 90%)in natural surface water and simulated water with a low Cs ***,the CuFC/SiO2/PVDF hollow-fiber composite membrane can be used directly in engineering applications for the remediation of radioactive Cs-contaminated water.

关键词： Cesium removal Composite membrane Copper ferrocyanide Polyvinylidene fluoride

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