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2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Zhou, Xuyan Cheng, Lin Wan, Yuxiang Qi, Ning Tian, Liting You, Feng State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China Energy Storage System Business Unite Tianjin Lishen Battery Joint-Stock Co. Ltd. Tianjin China

ISBN: (纸本)9781728191645

Lithium-ion batteries have the advantages of high energy density, fast power response, recyclability, and convenient to movement, which are unsurpassed by other energy storage systems. However, safety issues such as thermal runaway of lithium-ion batteries have become the main bottlenecks restricting the development of their extensive applications. In practical applications, the demand for battery energy storage scale and specific energy continues to increase, and the contradiction between battery high safety and battery safety has become increasingly prominent. This paper proposes a lithium-ion battery safety risk assessment method based on online information. Effective predictions are essiential to avoid irreversible damage to the battery and ensure the safe operation of the battery energy storage system before a failure occurs. This paper is expected to provide novel risk assessment method and research idea for the development and design of high-safety battery systems. © 2020 IEEE.

关键词： Lithium-ion batteries

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Mid-term Scenario Generation for Wind power Using GAN with Temporal-correlation Enhancement Block 10

Mid-term Scenario Generation for Wind Power Using GAN with T...

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2020 10th International Conference on power, Energy and Electrical Engineering, CPEEE 2020

作者： Ma, Yupu Ma, Ming Wang, Ningbo Qiao, Ying State Key Lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China School of Electrical Engineering Northeast Electric Power University Jilin Jilin Province132012 China Wind Power Technology Center of Gansu Electric Power Company Lanzhou Province730070 China

Under the background of increasing renewable energy penetration and rigid demand for midterm generation planning, the accurate expression of wind power uncertainty becomes more and more important. Firstly, this paper analyses the problem of scenario generation models based on traditional Generative Adversarial Networks(GAN), point that the fluctuation of scenarios that it generated usually deviates greatly from the real one. And further proposes a convolutional structure, that called Temporal-correlation Enhancement block (TE block), which can solve the aforementioned problem by enhance the temporal correlation perception ability of convolutional layers. Then, the problems of traditional conditional Wasserstein GAN-Gradient Penalty(WGAN-GP) in mid-scale scenario generation are discussed, and a conditional WGAN-GP scenario generation model that is suitable for mid-term scenario generation is presented. This model-free non-parametric model can generate a large number of realistic wind scenarios efficiently according to the given conditions. In order to validation, we use the data collected in a province in northern China to train the model in the Case Study part, and compare it with the traditional model. Result shows the fluctuation distribution deviation problem is improved obviously on the model with TE block, and in the comparison of auto-correlation coefficient, the proposed model also outperform the traditional model. This verifies the superiority of the proposed model in temporal expression ability compared with the traditional model, as well as the feasibility of the mid-term wind scenario generation. © 2020 The Authors, published by EDP Sciences.

关键词： Generative adversarial networks

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Efficient CO2 Desorption Catalysts: from Material Design to Kinetics Analysis and Application Evaluation

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Engineering 2025年

作者： Xing, Lei Chen, Zhen Zhan, Guoxiong Huang, Zhoulan Wang, Lidong Li, Junhua State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China

Catalytic amine-solvent regeneration has been validated as an energy-saving strategy for CO2 chemisorption by boosting reaction kinetics under mild conditions. The upscale performance evaluation and long-term durability are indispensable steps for industrial application but have been scarcely reported thus far. Here, we report a ZrO2/Al2O3 pack catalyst that possesses strong metal oxide-support interactions, a porous structure, active and stable Zr–O–Al coordination, promoted proton transfer and a 40.7% decrease in the energy activation of carbamate decomposition, which significantly accelerates CO2 desorption kinetics. The upscale experiment and cost evaluation based on industrial flue gas revealed that the use of packing catalysts can reduce energy consumption by 27.56% and optimize the overall cost by 10.49%. The active sites present excellent stability in alkaline solvents. This work is the first to investigate the ability of high-technology readiness (technology readiness level at 6 (TRL 6)) for catalytic amine-solvent regeneration, providing valuable insights for potential applications involving efficient CO2 capture with catalyst assistance. © 2024 THE AUTHORS

关键词： Energy efficiency

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Optimal Sizing and Pricing of Renewable power to Ammonia systems Considering the Limited Flexibility of Ammonia Synthesis

arXiv

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arXiv 2022年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Zhao, Yuxuan Song, Yonghua Song, Yanhua Zhang, XinZhen The State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Reasearch Institute Tsinghua University Chengdu610213 China The Department of Electrical and Computer Engineering University of Macau 999078 China The Department of Electrical Engineering Tsinghua University Beijing100087 China Shenzhen Edo Renewable Co. Ltd Shenzhen518067 China

Converting renewable energy into ammonia has been recognized as a promising way to realize "green hydrogen substitution" in the chemical industry. However, renewable power to ammonia (RePtA) requires an essential investment in facilities to provide a buffer against the strong volatility of renewable energy and the limited flexibility of ammonia synthesis, which involves the three main stakeholders, namely, power, hydrogen, and ammonia. Therefore, the sizing and pricing of RePtA play a core role in balancing the interest demands of investors. This paper proposes an optimal sizing and pricing method for RePtA system planning. First, power to ammonia (P2A) is modeled as a flexible load, especially considering the limited flexibility of ammonia synthesis, which has been verified using real dynamic regulation data. Second, the multi-investor economic (MIE) model is established considering both external and internal trading modes. Then, a two-stage decomposed sizing and pricing method is proposed to solve the problem caused by the strong coupling of planning, operation, and trading, and information gap decision theory (IGDT) method is utilized to handle the uncertainty of renewable generation. Finally, real data from a real-life system in Inner Mongolia are utilized to verify the proposed approach. The results show that the system proposed has a yield of 8.15%. Copyright © 2022, The Authors. All rights reserved.

关键词： Costs

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Excellent electrical properties of zinc-oxide varistors by tailoring sintering process for optimizing line-arrester configuration 7

Excellent electrical properties of zinc-oxide varistors by t...

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7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020

作者： Meng, Pengfei Cao, Wei Chen, Chao Wan, Shuai Xu, Heng Hu, Jun He, Jinliang Tsinghua University Department of Electrical Engineering Beijing China Wuhan Nari Limited Liability Company State Grid Electric Power Research Institute Wuhan China Guangdong Aikang Electric Power Co. Ltd Guangzhou China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Department of Electrical Engineering Beijing China

ISBN: (纸本)9781728155111

We optimized the excellent electrical performance of zinc-oxide (ZnO) varistors doping of aluminum and indium by tailoring the sintering process. The surface morphology, nonlinear volt ampere properties, capacitance-voltage characteristics, and dielectric analyses were carried out. At a given aluminum and indium concentration, the average sample grain size (d) increased as lengthening sintering time from 0.5 to 2.5 h. The voltage gradient (E_{1\{mA}}) decreased from 602.4 V/mm to 356.7 V/mm. The residual voltage of the sintered varistors at the lightning impulse current (8/20\ \mu\mathrm{s}) decreased as the samples sintering holding time extended from 0.5 to 2.0 h. When the ZnO varistor was sintered for 1.5 h, the samples showed an excellent performance, with a reference voltage of 479.3 V/mm at 1 mA DC. When assembled in the line surge arresters, the obtained high-voltage-gradient ZnO varistors can decrease their length and residual voltage, which allows for better coordination of the line surge arrester with the insulators. This study has great significance to optimize line-arrester configurations and improve power-system stability. © 2020 IEEE.

关键词： Sintering

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Research and simulation on voltage stability control strategy for AC port of power electronic transformer

Research and simulation on voltage stability control strateg...

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The 16th IET International Conference on AC and DC power Transmission (ACDC 2020)

作者： Y. Shen H. Nie W. Cai L. Yuan C. Zhang Z. Zhao Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing 100084 China

With wide application of power electronic equipment in power system, voltage stability and power supply reliability need to be improved. In this paper, voltage sag caused by AC port load increase and the influencing factors are studies with a typical power electronic transformer topology as example. A calculation method which can estimate the port voltage sag performance according to the load impedance is proposed. In order to maintain the port voltage stability in the process of load increase, a voltage stability control strategy is proposed based on the double-loop control by increasing the voltage feedforward, which can improve the power supply quality and stability of power electronic transformer. Finally, the MATLAB/Simulink simulation results show that the proposed scheme is accurate and effective.

关键词： power electronics feedforward power transformers power supply quality voltage control power system stability power system reliability

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Optimal Sizing of Photovoltaic and Battery Energy Storage of Electric Vehicle Charging Station Based on Two-part Electricity Pricing

Optimal Sizing of Photovoltaic and Battery Energy Storage of...

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Sustainable power and Energy Conference (iSPEC)

作者： Conghui Wang Liting Tian Fang Zhang Lin Cheng School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

This paper focuses on optimal sizing of photovoltaic (PV) and battery energy storage system (BESS) of special-use charging station for electric taxi cabs. Aiming to minimize annual equivalent cost of the charging station under two-part electricity pricing mechanism, an optimal sizing algorithm of PV and BESS is established considering the randomness of PV output and the power constraint of the grid, as well as whether charging station participates in demand response (DR). The cooperative operation strategies of charging facilities, PV and BESS under typical scenarios are proposed. Considering the factors that affect the optimal results, this paper provides sensitivity analysis in a charging station. Finally, the proposed optimal sizing algorithm is verified in the charging station equipped with 24 EV charging piles, and the economic analysis of the optimal sizing scheme is carried out. Based on economical analysis of optimal sizing results, it is found out that the equivalent cost of EV charging station is lower when participating in demand response. The results show that the annual equivalent total cost of the charging station is significantly reduced under the new optimal sizing scheme.

关键词： Economics Photovoltaic systems Biological system modeling Pricing Charging stations Load management Electric vehicle charging

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simulation and feature extraction of inter-shaft bearing fault in rotor-bearing-casing system 26

Simulation and feature extraction of inter-shaft bearing fau...

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26th International Congress on Sound and Vibration, ICSV 2019

作者： Yang, Yizhou Liu, Chao Jiang, Dongxiang Han, Te State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Thermal Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9781999181000

The inter-shaft bearing could simplify the supporting structure of a dual-rotor system, so it is widely used in rotating machinery like gas turbine engine. When monitoring the vibration of an inter-shaft bearing, sensors usually could not be installed inside the engine because of the compact structure, then will be installed on the casing. The vibration of the inter-shaft bearing will be transmitted though both the two rotors to the supporting bearings then to the casing, and both the inner and outer ring rotate, making the condition monitoring much more difficult than normal bearings. In this paper, a dual-rotor system dynamic model with the rotor-bearing-casing structure is built to simulate the vibration of an inter-shaft bearing. The rotors and the casing are modelled using finite element method and the bearings are modelled using a nonlinear multi-body dynamic model. The normal state of the inter-shaft bearing is simulated, then the bearing fault states with localized defects on the inner race, the outer race and one of the rolling elements are simulated. Signal processing methods are utilized to extract bearing fault features from the casing vibration acceleration signal. Besides the fixed rotating speed condition, rotors under variable speeds are also simulated, then the vibration signal and fault feature become more complex and the signal analysis becomes a bigger challenge © Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. All rights reserved.

关键词： Dynamic models

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Evaluation of Information Value for Solar power Plants in Market Environment

Evaluation of Information Value for Solar Power Plants in Ma...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Bohong Wang Qinglai Guo Tianyu Yang Hongbin Sun Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

Uncertainty is not negligible in power systems, it affects the generation, transmission and utilization of electricity. Especially in electricity markets, the randomness and variability of generation or load will cause notable forecast errors and lead to economic losses of market participants. Due to the data explosion in recent few years, data have gradually become valuable information that can be mined, analyzed, and applied. Meanwhile, the utility that more abundant and accurate information could eliminate uncertainty is emerging. In this paper, solar power plants (SPPs) are selected as the object, the general mechanism in electricity markets is briefly introduced and the corresponding market optimization model is constructed. With the optimization model analytically solved, the impact of uncertainty is analyzed and the expressions of information value are derived. Besides, uniform, normal, logistic, and Laplace distribution are used in the evaluation of information value and compared. Finally, the case study is conducted to verify the theoretical results of information value and illustrate its significance.

关键词： Economics Uncertainty System integration Electricity supply industry power systems Solar power generation Optimization

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Comparison of boost and LLC converter and active clamp isolated full-bridge boost converter for photovoltaic DC system

Comparison of boost and LLC converter and active clamp isola...

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作者： Liu, Jiye Zheng, Zedong Wang, Kui Li, Yong Dong State Key Laboratory of Control Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

DC collection network offers an attractive alternative to AC network for photovoltaic, as it avoids the charging current issues and reduces the size and weight. Variable voltage gain DC/DC converters play an important role in DC collection network. Two topologies suitable for photovoltaic DC collection are studied. Boost and LLC converter and active clamp isolated full-bridge boost converter are two converters with high and variable voltage conversion ratio suitable for the photovoltaic system. This work investigates the two converters comprehensively. The topologies are analysed so as to summarise and compare the characteristic of the converters. Soft switching condition is compared to help extend the zero voltage switching range. Voltage and current stress of the two converters are calculated. Loss comparison is made with the theoretical analysis. Advantages and disadvantages are summarised to get a deep insight into their application field. © 2019 Institution of Engineering and *** right reserved.

关键词： Topology

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