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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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Accelerating exploitation and integration of global renewable energy

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Innovation 2025年

作者： Wang, Jianxiao Chen, Xinjiang Zhuang, Minghao Li, Yan Ruan, Ziwen Wang, Yuhan Zhang, Ning Song, Jie He, Kebin Lu, Xi National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing100871 China Department of Industrial Engineering and Management College of Engineering Peking University Beijing100871 China Peking University Ordos Research Institute of Energy Ordos017000 China State Key Laboratory of Nutrient Use and Management College of Resources and Environmental Sciences China Agricultural University Beijing100193 China College of Environmental Science and Engineering Tongji University Shanghai200092 China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing100084 China State Key Lab of Power Systems Department of Electrical Engineering Tsinghua University Beijing100084 China Institute for Carbon Neutrality Tsinghua University Beijing100084 China

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Capacity Configuration of Battery Energy Storage System for Photovoltaic generation System Considering the High Chargerate 10

Capacity Configuration of Battery Energy Storage System for ...

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

作者： Li, Jiaming Qiao, Ying Liu, Guojing Lu, Zongxiang State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing100084 China Economic Institute of Technology State Grid Jiangsu Electric Power Company Nanjing210005 China

Battery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS charge-rate that is a key factor in operation models but ignored in current planning researches. This paper proposes a BESS capacity configuration model for PV generation systems which takes BESS's ability to (dis)charge exceeds its rated power into account. The best charge-rate and power & energy capacity of BESS are optimized by particle swarm optimization (PSO) algorithm. Through an analysis of the annual output statistics of PV power station in the northwest of china, the results show that when considering the high charge-rate of BESS, the optimal BESS capacity configuration rises and comprehensive income of the PV-BESS system will increase. © 2020 The Authors, published by EDP Sciences.

关键词： Battery storage

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Intrinsic Insight of Energy-Efficiency Optimization for Co2 Capture by Amine-Based Solvent: Effect of Mass Transfer and Solvent Regeneration

SSRN

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SSRN 2022年

作者： Chen, Zhen Yuan, Bingling Zhan, Guoxiong Li, Yuchen Wang, Lidong You, Changfu Li, Junhua State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Key Laboratory for Thermal Science and Power Engineering the Ministry of Education Department of Energy and Power Engineering Tsinghua University Beijing100084 China MOE Key Laboratory of Resources and Environmental Systems Optimization Department of Environmental Science and Engineering North China Electric Power University Beijing102206 China

Here the energy-efficiency performance of CO2 capture is investigated based on bench-scale continuous absorption-desorption system. A comprehensive evaluation is performed by L25(65) orthogonal tests to analyze the effects of operating conditions on CO2 capture. With combination of Eulerian-Eulerian method with the population balance model, we predict the dynamics evolution process of dispersed bubble, in order to provide the detailed information of interphase contact area and multiphase flow for modelling complete mass transfer parameters. Meanwhile, rigorous process simulation is developed to analyze the energy consumption of carbon capture. Experiments reveal desorption temperature and flue gas flow play a major role for CO2 capture efficiency. Rising flue gas flow could promote interfacial area, but decreases contact time, overally, net CO2 flow approximately determines the linear relationship of capture efficiency and absorption rate. Higher desorption temperature provides leaner solvent to drive CO2 absorption, but consumes greater energy penalty for CO2 capture. © 2022, The Authors. All rights reserved.

关键词： Mass transfer

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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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Planning of active power distribution network based on source-network-load collaborative optimization 16

Planning of active power distribution network based on sourc...

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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Jiang, Zhicheng Yu, Qingguang Li, Ang Xiong, Yufeng Long, Gaoxiang Liu, Yuming Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839533914

With the fast development of renewable energy generation, the randomness and volatility seriously threaten the stability of the power system. In order to improve the consumption rate of renewable energy and the economic benefit, the source-network-load collaborative optimization is put forward and widely used in the power system. And the active power distribution network which consists of the energy storage devices and flexible load is the best carrier to realize it. Based on the active power distribution network planning, this paper firstly designs an economic index covering construction cost and operation cost as the optimization objective. Then with the physical constraints consisting of the physical features of generation units, energy storage devices and flexible load, the source-network-load collaborative optimization model of active power distribution network is established. Finally, a case of city distribution network is presented to verify the effect of source-network-load collaborative optimization and the efficiency of the optimization model. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Optimization

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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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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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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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Multiple-Stage Inter-temporal Flexibility for Planning: A Non-sequential Probabilistic Production simulation Approach

Multiple-Stage Inter-temporal Flexibility for Planning: A No...

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power, Energy and Electrical Engineering (CPEEE), International Conference on

作者： Ying Qiao Haibo Li Jiheng Jiang Guobin Fu State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China State Grid Qinghai Provincial Electric Power Company Xining China

ISBN: (数字)9781728177175

ISBN: (纸本)9781728177182

High wind energy curtailment during winter and early spring in north china has drawn widespread concern in recent years, which, at source, results from the shortage of power system flexibility. Therefore, power system needs to consider the flexibility in planning stage. However, current flexibility metric is difficult to calculate and be applied in to the optimal planning. A non-sequential production simulation model with only input data of the cumulative probability function and/or probability density function of heat demand, electricity demand, and wind power is proposed, which is used to obtain the probability distribution of the production for generators according to least cost principle. Then the flexibility metric can be easily calculated based on the production results. simulations were performed based on the actual data of a large wind power zone in north china. Multiple flexibility metric was evaluated and compared with the wind power curtailment, which shows the strong correlation between them. Finally, the impact of flexible resources on the flexibility metric was analyzed.

关键词： Measurement Production Wind power generation Data models Planning Space heating Resistance heating

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