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Chinese Automation Congress (CAC)

作者： Zhen Xie Zhongwei Lin Zhenyu Chen Chuanxi Wang Qingru Cui Gengda Li Weidong Wang Daizhen Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control Computer and Engineering North China Electric Power University Beijing P. R. China Guodian New Energy Technology Research Institute Co. Ltd Beijing P. R. China CHN ENERGY (Shandong) New Energy Co. Ltd. Jinan P. R. China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

With the deepening research on wind farms, wake effects have gradually been paid attention to and used in wind farm optimization. During this development, the engineering wake models are adopted, which could be further improved in modeling accuracy. This paper adopts a control-oriented wake model to improve the modeling accuracy, especially in the near wake region. A double-Gaussian wake model is incorporated with appropriate wake deflection and combination models and a vertical wind profile function. Based on a Large-eddy simulated dataset, the proposed model is adopted and verified. The widely-used Gaussian wake model is also adopted and compared with the proposed model. Results show good agreement between the presented model and LES results, especially in the focused near wake region.

关键词： Wind turbines Computational modeling Wind farms Rotors Electron tubes Wind speed Mathematical model

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Experimental comparison between aircraft fuel tank inerting processes using NEA and MIG

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Chinese Journal of Aeronautics 2018年第7期31卷 1515-1524页

作者： Lei SHAO Weihua LIU Chaoyue LI Shiyu FENG Chenchen WANG Jun PAN Key Laboratory of Aircraft Environment Control and Life Support of MIIT Nanjing University of Aeronautics and Astronautics Nanjing 210016 China College of Aeronautics Chongqing Jiaotong University Chongqing 400074 China Jiangsu Province Key Laboratory of Aerospace Power System Nanjing Engineering Institute of Aircraft Systems Nanjing 210016 China

Fuel tank inerting technologies are able to reduce the fire risk by injection of inert gas into the ullage or fuel, the former called ullage washing and the latter fuel scrubbing. The Green On-Board Inert Gas Generation system（GOBIGGS） is a novel technology based on flameless catalytic combustion, and owning to its simple structure and high inerting efficiency, it has received a lot of attentions. The inert gas in the GOBIGGS is mainly comprised of CO2, N2, and O2（hereinafter, Mixed Inert Gas（MIG））, while that in the On-Board Inert Gas Generation system（OBIGGS）, which is one of the most widely used fuel tank inerting technologies, is NitrogenEnriched Air（NEA）. The solubility of CO2 is nearly 20 times higher than that of N2 in jet fuels,so the inerting capability and performance are definitely disparate if the inert gas is selected as NEA or MIG. An inerting test bench was constructed to compare the inerting capabilities between NEA and MIG. Experimental results reveal that, if ullage washing is adopted, the variations of oxygen concentrations on the ullage and in the fuel are nearly identical no matter the inert gas is NEA or MIG. However, the ullage and dissolved oxygen concentrations of MIG scrubbing are always higher than those of NEA scrubbing.

关键词： Dissolved oxygen Experiment Fuel tanks Inert gases Mixed Inert Gas（MIG） Nitrogen-Enriched Air（NEA） Oxygen

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Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

Sources of atmospheric glyoxal and methylglyoxal in Beijing ...

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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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Vertically integrated outdoor in-site line protection based on SoC technique

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Global Energy Interconnection 2018年第2期1卷 179-186页

作者： Tonghua Wu Yuping Zheng Yutao Qiu Xiaoping Zhang Gang Yao Jimin Chai Xiaofan Hou College of Energy and Electrical Engineering Hehai University NARI Group Corporation/State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control State Grid Zhejiang Electric Power Corporation Electrical and System Engineering University of Birmingham

By focusing on the problems of speed, reliability, operation and maintenance in the practical application of line protection in conventional and smart substations, we propose system architecture and a technical scheme for in-site(similar in meaning to on-site or near-process) line protection based on vertical integration and outdoor installation. The functions of the single-bay merging unit, relay protection, and intelligent terminal are vertically integrated to reduce the number and types of devices, simplify the configuration, reduce signal transmission, and shorten the protection action time. In addition, this vertically integrated device is applied to provide data acquisition and control execution support for substation-area protection, security and stability of devices, and other substation-area devices. The vital performance outputs are tested and compared. Finally, the experimental results verify that the proposed scheme is feasible and the technology is advanced.

关键词： Line protection In-site relay protection Merging unit Vertical integration

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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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Simulation and analysis of temperature of aviation engine fuel system based on Flowmaster software

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Hangkong Dongli Xuebao/Journal of Aerospace power 2020年第4期35卷 722-731页

作者： Kang, Sizhao Xi, Xiuzhi Li, Bo Zhang, Bo Key Laboratory of Complex Energy Conversion and Utilization School of Energy and Power Engineering Dalian University of Technology DalianLiaoning116024 China Aero Engine Control System Institute Aero Engine Corporation of China WuxiJiangsu214063 China

In order to study temperature rise of the fuel system under constant and variable speeds, based on the Flowmaster software and the Daqing RP-3, the aeroengine fuel system simulation model was established, the temperature simulation of engine was carried out, and experiment and simulation results were compared to verify the accuracy. Results showed that: the performance curve of components led to the calculation error. The maximum temperature was in the front of the main combustion chamber, up to 145℃ in some working cases, which could affect the safety of aeroengine, so the temperature of fuel must be controlled. The measure of taking fuel returning to the aircraft was useful. The temperature could not immediately achieve steady when the mass flow was instantly changed. With the rise of main combustion chamber flow, the fuel temperature declined when the returning mass flow was 0kg/s and the centrifugal pump efficiency under different working conditions was equal. The temperature also achieved steady when mass flow was at a steady state. The calculation method of fuel temperature and fuel pump is proposed for the one-dimensional simulation further research of aviation engine system level. © 2020, Editorial Department of Journal of Aerospace power. All right reserved.

关键词： Fuels

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Chinese Named Entity Recognition in power Domain Based on Bi-LSTM-CRF

Chinese Named Entity Recognition in Power Domain Based on Bi...

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作者： Zhenqiang Zhao Zhenyu Chen Jinbo Liu Yunhao Huang Xingyu Gao Fangchun Di Lixin Li Xiaohui Ji School of Information Engineering China University of Geosciences Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology(China Electric Power Research Institute) Big Data Center State Grid Corporation of China Power Dispatching and Control Center State Grid Corporation of China Institute of Microelectronics Chinese Academy of Sciences

Efficient recognition of proprietary entities is an important basic work for text data mining and intelligent application in power *** power domain Named Entity Recognition(NER) methods rely on feature engineering seriously,which unable to learn power entity features *** order to learn entity features automatically and extract power domain named entities efficiently,a model based on Bidirectional Long Short-Term Memory Neural Networks(Bi-LSTM) and Conditional Random Field(CRF) was proposed in this *** representations were fed into the neural networks as an additional feature and Skip-gram embeddings were trained on power domain *** results showed the precision rate reaches higher than 88.25% and the recalling rate reaches higher than 88.04%,which confirm the method based on BiLSTM and CRF is effective for named entity recognition in the power domain.

关键词： Named Entity Recognition power Domain Bi-LSTM CRF

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Optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage

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Journal of Physics: Conference Series 2021年第1期2121卷

作者： Tieyan Zhang Junbao Yang Yaru Wang Min Li Dawei Zhang Yuri Wang Shenyang Ligong University Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province GD Hefeng Wind Power Development Co. Ltd. Liaoning Shengfang Electric Power Technology Co. Ltd. Benxi High-tech Industrial Development Zone Power Supply Branch State Grid Liaoning Electric Power Co. Ltd.

With the development of science and technology, people also pay more and more attention to the development of new energy. Although there are also many studies on integrated energy systems now, integrated energy systems containing energy storage should also be further studied. This paper proposes an optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage, which analyzes the gas turbine, absorption refrigerating machine, electric refrigerator, photovoltaic power generation units, wind turbine and the work characteristics of the energy storage device. In this paper, an integrated energy system optimization model of new energy cogeneration with energy storage equipment is established. An example shows that the integrated energy system with energy storage can effectively solve the independent decoupling operation relationship among cool, heat and electricity. At the same time, the proposed model can also solve the energy interaction among cool, heat and electricity. In this way, the optimal operation of the integrated energy system can be realized.

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A Multi-label Classification Approach for ICT Fault Text Analysis

A Multi-label Classification Approach for ICT Fault Text Ana...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Qiang Zhang Xiaona Chen Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory Global Energy Interconnection Research Institute Co. Ltd WeiLaiKeJiCheng Park Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728146539

ISBN: (纸本)9781728146546

The ICT customer service from State Grid has accumulated a large number of electric power fault reports and texts, which are difficult to classify and analyze because an occurrence of power fault may be triggered possibly by multiple different causes. In order to track different causes of electric power faults from historical fault texts, a multi-label based text classification approach is proposed for fault-assisted decision. Firstly, Chinese fault texts are sequentially preprocessed by word segmentation, stop words removal and feature representation. Then, we present a multi-label text classification by combining Binary Relevance and Gradient Boosting algorithm. The experimental results show that our method is better than BR+LR and ML-KNN for fault text classification.

关键词： Text categorization Classification algorithms Task analysis power systems Boosting Customer services Feature extraction

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Assessment of Frequency Stability Enhancement in Dominated Wind power Plants Grid

Assessment of Frequency Stability Enhancement in Dominated W...

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IEEE International Conference on power and Energy systems (ICPES)

作者： Alireza Ashouri Zadeh Aras Sheikhi Ali-Mohammad Ranjbar Center of Excellence in Power System Management & Control Sharif University of Technology Tehran Iran Sharif Energy Research Institute Sharif University of Technology Tehran Iran Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (数字)9781728126586

ISBN: (纸本)9781728126593

With the fast proliferation of intermittent renewable energy sources and fluctuations in load demand, power systems need to withstand an increasing number of disturbances that may affect the system frequency. In this paper, the highest acceptable penetration level of wind generation is formulated and calculated with and without considering operating reserve constraints as a function of equivalent governor response and system inertia. Afterward, the feasibility of wind turbine participation in the power system frequency regulation task is investigated and the minimum required wind turbine frequency response is calculated as a function of penetration level. This study uses a discretized model of dynamic system frequency response to estimate the minimum frequency after contingencies. To investigate the proposed methods, some sensitivity analyses are carried out on IEEE 39-bus test system. Simulations results illustrate a more secure and reliable operation of the power system when the wind turbines participate in the frequency regulation task.

关键词： wind turbine primary response power system frequency stability maximum wind generation penetration. power systems frequency response Wind Energy Conversion systems system frequency minimum frequency Renewable energy renewable energy sources Wind power plants Frequency control Frequency stability Wind energy generation Function

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