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Tracking the carbon footprint of global generative artificial intelligence

Innovation 2025年第5期6卷

作者： Ding, Zhaohao Wang, Jianxiao Song, Yiyang Zheng, Xiaokang He, Guannan Chen, Xiupeng Zhang, Tiance Lee, Wei-Jen Song, Jie State Key Lab of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing100871 China Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong999077 China Department of Industrial Engineering and Management College of Engineering Peking University Beijing100871 China Jan C. Willems Center for Systems and Control University of Groningen Groningen9700AB Netherlands Energy Systems Research Center University of Texas at Arlington ArlingtonTX76019 United States

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Fault Diagnosis of Hard Rock Tunnel Boring Machine Cutterhead Driving System Based on Adaptive Observers 34

Fault Diagnosis of Hard Rock Tunnel Boring Machine Cutterhea...

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第三十四届中国控制会议

作者： SHAO Chengjun LIAO Jianfeng LI Xiuliang SU Hongye State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University State Key Laboratory of Fluid Power Transmission and Control Zhejiang University Hangzhou

ISBN: (纸本)9781467374439

Rock cutting and excavation of TBM are mainly depend on the cutterhead driving *** paper puts forward a cutterhead driving system dynamic model which can be used to fault diagnosis and model *** some of the system parameters are time-varying,such as gear backlash which is one of the main factors causing deterioration in the dynamic and static performance of gear mesh *** paper designs an adaptive observer with exponential forgetting factor to estimate the undetermined *** to the adaptive observer without forgetting factor,the estimated parameter in proposed observer has a better performance in noise resisting ability and *** simulation results of cutterhead driving system show the estimated parameters can track the changing of the true values rapidly with an extremely small error.

关键词： TBM Cutterhead driving system Dynamic model Adaptive observer

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Analytical Representation of Data-driven Transient Stability Constraint and Its Application in Preventive control

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Journal of Modern power systems and Clean Energy 2022年第5期10卷 1085-1097页

作者： Yiwei Fu Xiaohua Zhang Lei Chen Zengyao Tian Kaiyuan Hou Haikuan Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Jibei Electric Power Company Beijing 100053China Northeast China Branch of State Grid Corporation of China Shenyang 110180China

Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays. Data-driven TSA model can be adopted in the stability constraints of preventive control optimization, but existing methods are mostly iteration-based ones, which may result in low efficiency, sometimes even non-convergence. In this paper,an analytical representation method of data-driven transient stability constraint is proposed based on a non-parametric regression model built for TSA. key feature extraction and dominant sample selection are proposed to reduce the scale of the TSA model, and bi-level linearization is applied to further modify *** preventive control model is then formulated as a mixed-integer linear program(MILP) problem with the linearized analytical data-driven transient stability constraint, which can be solved without iterations. An overall procedure of datadriven TSA and preventive control is finally developed. Case studies show that the proposed method has high accuracy in TSA and can achieve effective preventive control of power system with high efficiency.

关键词： Data-driven critical clearing time transient stability constraint non-parametric regression optimal preventive control

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Capacity Optimization of Hydrogen Buffer Tanks in Renewable power to Ammonia (P2A) System

Capacity Optimization of Hydrogen Buffer Tanks in Renewable ...

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2020 IEEE power and Energy Society General Meeting, PESGM 2020

作者： Li, Jiarong Lin, Jin Song, Yonghua Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing China Department of Electrical Engineering Department of Electrical and Computer Engineering Beijing China

ISBN: (纸本)9781728155081

power to hydrogen is a promising method to consume surplus renewable energy existing in the world. However, due to bottlenecks in hydrogen storage and transportation, converting hydrogen into ammonia which is a kind of hydrogen carrier with satisfied quality in storage and transportation is considered. Industrial ammonia synthesis reactors always work in constant conditions with constant flow rate of the feed gas, while hydrogen output of electrolyzers may vary sharply across renewable energy, thus hydrogen buffer tanks are required between electrolyzers and reactors to eliminate the fluctuation to some extent. The capacity of the buffer needs to be optimized due to relatively expensive cost of tanks, and the optimal capacity of the buffer actually depends on the operation flexibility of the reactor which is rarely discussed in existing literatures. This paper studies operation flexibility of the reactor first and establishes operation model of ammonia synthesis system under variable working conditions, on this basis the capacity optimization model is proposed and verified by a P2A system. At last the operation performance and the economy of P2A system are discussed, and case studies show that about 24% of total investment cost can be reduced with the consideration of operation flexibility of the reactor. © 2020 IEEE.

关键词： Ammonia

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Internet information applied in the energy internet planning: A review and outlook

Internet information applied in the energy internet planning...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Cheng, Lin Ji, Xinchi Zhang, Fang Liang, Caihao He, Hailei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781538614273

With the development of energy industry and infor-mation technologies, the concept of energy Internet is proposed to prevent the energy crisis and reduce the environmental pollution. However, the planning of energy Internet is facing great challenges that there are large uncertainties of boundary conditions in the planning. The collection of Internet information can help solve the problem. This paper introduces the method of collecting objective data from the Internet, such as renewable energy sources data, climate data, and economic data, and the usage of the data for energy Internet planning. The method of collecting and processing fuzzy information from the Internet are introduced as well. The events related to the energy Internet planning can be perceived and be applied to the multi-scenario planning of energy Internet. Besides, the difficulties and outlooks of the usages are given. © 2017 IEEE.

关键词： Internet of Energy

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Novel integrated three-port DC/DC converter for different operating modes between renewable energy,electrolyser and fuel cell/battery

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Clean Energy 2023年第1期7卷 174-189页

作者： Lilei Jiang Jianxin Qu Lingguo Kong Hejianuig Qian Chuang Liu Guowei Cai Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin 132012China State Grid Harbin Power Supply Company HarbinHeilongjiang ProvinceChina

Due to the slow dynamic power-regulation characteristics of the electrolyser(EL),a novel integrated three-port DC/DC converter topology based on a phase-shifted full-bridge converter and dual active-bridge converter is proposed in this ***,the proposed converter can achieve a fast auxiliary response to the *** topology has the features of single-stage conversion,high system integration and compatibility with multiple operation *** operational principles and a hybrid modulation scheme of the proposed converter are analysed in *** addition,the power-transmission characteristics of each port and the soft-switching range are *** these bases,six operation modes suitable for a hydrogen energy-storage system are *** simulation and a 2-kW scaled-down experimental prototype are established to verify the feasibility and effectiveness of the proposed topology in different operation modes.

关键词： renewable energy electrolyser fuel cell three-port DC/DC converter

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Optimal Allocation Strategy of Frequency Modulation power for Multiple Energy Storage systems Considering Dual Constraints of Frequency Modulation Cost and Frequency Modulation Capability

Optimal Allocation Strategy of Frequency Modulation Power fo...

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2023 IEEE International Conference on power Science and Technology, ICPST 2023

作者： Peng, Yongming Si, Wenbo Zhao, Haiji Lv, Changlin Liu, Chengzhe Xu, Fei Hao, Ling Li, Junhui Northeast Branch of State Grid Corporation of China Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Beijing China

ISBN: (纸本)9798350311358

Aiming at the power allocation problem of multiple energy storage power stations distributed at different locations in the regional power grid participating in frequency modulation services, a frequency modulation power optimization allocation strategy for multiple energy storage systems considering the dual constraints of frequency modulation cost and frequency modulation capability is proposed. Firstly, a multi-objective optimization allocation model for frequency modulation power is constructed with the minimum frequency modulation cost and minimum deviation of the state of charge (SOC) for energy storage power plants. Secondly, using Pareto based multi-objective genetic algorithm (MOGA) to solve the model, introduce adaptive weight coefficients and fuzzy membership functions for each objective function regarding the frequency regulation demand of the power grid and the deviation of the SOC of energy storage stations, construct a comprehensive satisfaction function to make decisions on the most advantageous points on the Pareto frontier, in order to obtain the optimal output of each energy storage station that can adapt to the frequency regulation requirements of the power grid. Finally, simulation analysis was conducted on the proposed strategy in this article, and the results showed that: The proposed strategy not only enhances the frequency regulation economy of the regional power grid, but also helps to restore the SOC of the energy storage power station. © 2023 IEEE.

关键词： Frequency modulation

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Potential Evaluation of Distributed Energy Resources with Affine Arithmetic

Potential Evaluation of Distributed Energy Resources with Af...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cheng, Lin Qi, Ning Guo, Yanfei Liu, Nan Wei, Wei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China State Grid Beijing Daxing Power Supply company Beijing China

ISBN: (纸本)9781728135205

With the rapid development of Energy Internet, the penetration of distributed energy resources is gradually increasing. New methods for potential evaluation of DERs is becoming more and more important for planning, operation, and control. In this paper, the traditional affine arithmetic-based forward-backward power flow calculation method is introduced. Then, modified method is proposed mainly considers arithmetic correction, weekly looped structure, and different types of DG. Moreover, comprehensive potential evaluation structure for DERs is proposed based on affine arithmetic which involves three parts. Finally, through numerical analysis, the applicability and error of the affine arithmetic method are analyzed. © 2019 IEEE.

关键词： Internet of Energy

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Car Fuel Economy simulation Forecast Method Based on CVT Efficiencies Measured from Bench Test

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Chinese Journal of Mechanical Engineering 2018年第5期31卷 138-153页

作者： Yu-Long Lei Yu-Zhe Jia Yao Fu Ke Liu Ying Zhang Zhen-Jie Liu State Key Laboratory of Automotive Simulation and Control Jilin University Faw Jiefang Automotive Co. Ltd United Automotive Electronic Systems Co. Ltd China North Vehicle Research Institute

Researchers face di culties in studying the e ects of driveline e ciency on car fuel economy via bench and road tests because of long working periods, high costs, and heavy workloads. To simplify the study process and shorten test cycles, a car fuel economy simulation forecast method for combining computer simulation forecasting with bench tests is proposed. Taking a continuously variable transmission(CVT) as the research object, a transmission e ?ciency model based on a bench test is constructed. An optimal economic variogram based on the original CVT vari?ogram, the boundary conditions of vehicle performance, the road conditions and the driving behavior of the driver is generated in the Gear Shift Program(GSP)?Generation module in AVL Cruise. And on this basis a driveline simulation model that can calculate the fuel consumption based on the driveline data of a test car is built. The model is used to forecast fuel consumption and calculate real?time CVT e ciency under di erent conditions. Contrastive analyses on simulation results and real car drum test results are made. The largest error between simulation results and drum test results in driving cycles is 4.099%, which is 5.449% under constant velocity condition in driver control mode and 4.2% under constant velocity condition in automatic cruise mode. The results confirm the feasibility of the method and the good performance of the driveline simulation model in accurately forecasting fuel consumption. The method can e ciently investigate the e ects of driveline e ciency on car fuel economy. Moreover, this research provides instruc?tion for accurately forecasting fuel economy as well as references for studies on the e ects of drivelines on car fuel economy.

关键词： Fuel economy CVT efficiency simulation forecast Driveline

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Adhesive surface-enhanced Raman scattering Cu-Au nanoassembly for the sensitive analysis of particulate matter

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Journal of Environmental Sciences 2023年第6期128卷 35-44页

作者： Ning Wang Zhiqiang Gan Fengkui Duan Hui Chen Chensheng Ma Jie Ji Zhenli Sun MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Surface-enhanced Raman scattering(SERS)has been used in atmospheric aerosol detection as it enables the high-resolution analysis of particulate ***,its use in the detection of historical samples without damaging the sampling membrane while achieving effective transfer and the high-sensitivity analysis of particulate matter from sample films remains *** this study,a new type of SERS tape was developed,consisting of Au nanoparticles(NPs)on an adhesive double-sided Cu film(DCu).The enhanced electromagnetic field generated by the coupled resonance of the local surface plasmon resonances of AuNPs and DCu led to an enhanced SERS signal with an experimental enhancement factor of 10^(7).The AuNPs were semi-embedded and distributed on the substrate,and the viscous DCu layer was exposed,enabling particle *** substrates exhibited good uniformity and favorable reproducibility with relative standard deviations of 13.53%and 9.74%respectively,and the substrates could be stored for 180 days with no signs of signal *** application of the substrates was demonstrated by the extraction and detection of malachite green and ammonium salt particulate *** results demonstrated that SERS substrates based on AuNPs and DCu are highly promising in real–world environmental particle monitoring and detection.

关键词： Surfaced-enhanced Raman scattering Particulate matter Adhesive plasmonic coupling Electromagnetic enhancement

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