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Passive ranging technique using waveguide invariant in shallow water with thermocline

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Journal of Systems Engineering and Electronics 2017年第2期28卷 244-250页

作者： Xuejing Song Anbang Zhao maozhen li Acoustic Science and Technology Laboratory Harbin Engineering University Harbin 150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin 150001 China

Waveguide invariant is widely used in underwater target passive ranging. In shallow water with uniform sound speed profile, the value of waveguide invariant is approximately a constant, while in shallow water with thermocline, it varies in a wide range. The waveguide invariant distributions and striations in these two conditions are analyzed respectively. On the basis of wavenumber difference between reflected modes and refracted modes, a wavenumber-frequency domain filtering technique is proposed to separate the two groups of modes. The required relationship between array element space, total array length and target azimuth for effective application is discussed. Finally, the simulation results indicate that in shallow water with a thermocline, refracted modes can be effectively filtered out using the wavenumber-frequency domain filtering technique and the target's range is estimated accurately. © 2017 Beijing Institute of Aerospace Information.

关键词： Frequency domain analysis Stream flow Waveguide filters Waveguides

Short-term Forecasting of Individual Residential Load Based on Deep Learning and K-means Clustering

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CSEE Journal of Power and Energy Systems 2021年第2期7卷 261-269页

作者： Fujia Han Tianjiao Pu maozhen li Gareth Taylor Artificial Intelligence Application Department China Electric Power Research InstituteBeijing 100192China Department of Electronic and Computer Engineering Brunei University LondonUxbridgeUKUB83PH Brunei Institute of Power Systems Brunei University LondonUxbridgeUKUB83PH

In order to currently motivate a wide range of various interactions between power network operators and electricity customers,residential load forecasting plays an increasingly important role in demand side response(DSR).Due to high volatility and uncertainty of residential load,it is significantly challenging to forecast it ***,this paper presents a short-term individual residential load forecasting method based on a combination of deep learning and k-means clustering,which is capable of effectively extracting the similarity of residential load and performing residential load forecasting accurately at the individual *** first makes full use of k-means clustering to extract similarity among residential load and then employs deep learning to extract complicated patterns of residential *** presented method is tested and validated on a real-life Irish residential load dataset,and the experimental results suggest that it can achieve a much higher prediction accuracy,in comparison with a published benchmark method.

关键词： Deep learning demand side response(DSR) interactions k-means clustering residential load forecasting similarity

High-performance predictor for critical unstable generators based on scalable parallelized neural networks

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Journal of Modern Power Systems and Clean Energy 2016年第3期4卷 414-426页

作者： Youbo liU Yang liU Junyong liU maozhen li Zhibo MA Gareth TAYLOR School of Electrical Engineering and Information Sichuan UniversityChengdu 610065China Electronic and Computer Engineering Brunel UniversityUxbridgeMiddxLondon UB83PHUK Senior Power System Engineer National GridBearwood roadWokingham RG63DUUK

A high-performance predictor for critical unstable generators(CUGs) of power systems is presented in this paper. The predictor is driven by the Map Reduce based parallelized neural networks. Specifically, a group of back propagation neural networks(BPNNs), fed by massive response trajectories data, are efficiently organized and concurrently trained in Hadoop to identify dynamic behavior of individual generator. Rather than simply classifying global stability of power systems, the presented approach is able to distinguish unstable generators accurately with a few cycles of synchronized trajectories after fault clearing,enabling more in-depth emergency awareness based on wide-area implementation. In addition, the technique is of rich scalability due to Hadoop framework, which can be deployed in the control centers as a high-performance computing infrastructure for real-time instability *** examples are studied using NPCC 48-machines test system and a realistic power system of China.

关键词： Transient stability Critical unstable generator(CUG) High-performance computing(HPC) Map Reduce based parallel BPNN Hadoop

电力系统连锁故障的多层时序运行演化模型与应用

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中国电机工程学报 2015年第S1期35卷 82-92页

作者：刁塑刘友波刘俊勇许立雄 Gareth Taylor maozhen li 四川大学电气信息学院四川省成都市610065 布鲁内尔大学

为研究电网大停电事故的宏观安全特征,并揭示连锁故障过程中呈现的微观脆弱环节,提出多层时序运行演化模型对连锁故障进行模拟。该模型由运行内层、时序中层及演化外层构成,较传统仿真模型在负荷时序规则、故障传播方式及电网建设等方... 详细信息

为研究电网大停电事故的宏观安全特征,并揭示连锁故障过程中呈现的微观脆弱环节,提出多层时序运行演化模型对连锁故障进行模拟。该模型由运行内层、时序中层及演化外层构成,较传统仿真模型在负荷时序规则、故障传播方式及电网建设等方面均具有更加合理的设置,能够较为真实地反映电网运行、发展与连锁故障的关系。采用IEEE 300节点系统和某省级实际电网作为连锁故障仿真算例,结合电网自组织临界性与负荷损失时序特性,说明所建模型揭示更加了符合实际的连锁故障宏观安全特征;同时,针对仿真结果所揭示的脆弱线路、重要无功支撑节点及故障线路同步性等电网脆弱环节,与已有方法和指标进行对比,验证了所建模型亦可用于揭示电网微观脆弱环节辨识。

关键词：连锁故障大停电时序运行演化模型宏观安全特征微观脆弱环节

Additives strategies to improving cycling stability of li metal batteries by modifying electrode electrolyte interphases

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Progress in Natural Science:Materials International 2024年第2期34卷 338-344页

作者： Yuan li Pengfei Huang Chunyu Cui Xiaoyuan Ma li Chen Zekun li linhai li Yuhong Tian School of Biological and Chemical Engineering Guangxi University of Science and Technology School of College of Chemistry and Chemical Engineering Hunan University Isky Future Energy Institute

li metal batteries（LMBs） have attracted much attention due to the ultra-high theoretical capacity of the li metal anode（LMA）.However,the uncontrollable dendrites growth and low coulombic efficiency hinder their practical ***,we explore 3,5-difluoropyridine（2F-BD） as a novel electrolyte additive to enable highperformance *** 2F-BD additive participates in and modifies the solvation structure of li ions by reducing the coordinated number of PF6-at the electrode surface,leading to the formation of a liF and li3N-rich solid electrolyte interphase（SEI）.The liF component increases the robustness of SEI and suppresses the formation of li dendrites,while the li3N component facilitates the transportation and reaction kinetics of li *** a result,the li‖li symmetric cell presents a stable cycling performance of up to 500 h at a current density of 1 mA *** coupling with liFePO4cathode,the obtained full cell achieves high specific capacities of 106.06 mA h g-1and 84.98 mA h g-1at 2.55 mA cm-2and 5.10 mA cm-2,respectively,and maintains a high capacity retention of84.0% after 1000 cycles at 0.13 mA cm-2,with an average cycling CE of 99.58%.

关键词： Electrolyte additive li dendrites li metal batteries liF and li3N-Rich electrode-electrolyte interphase liFePO4 cathode

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风速相关性下的最优旋转备用容量

电网技术 2014年第12期38卷 3412-3417页

作者：张里刘俊勇刘友波吴杨李茂贞 Bazargan Masoud 四川大学电气信息学院四川省成都市610065 布鲁内尔大学电子与计算机工程系阿尔斯通电网研究与技术中心

在兼顾系统经济性和可靠性的基础上,同时考虑负荷预测偏差以及风电出力预测偏差等不确定性因素后,研究了计及风速相关性下的电网最优旋转备用。采用成本效益分析法,建立了系统发电成本、备用成本和期望停电成本之和最小的目标函数,利用... 详细信息

在兼顾系统经济性和可靠性的基础上,同时考虑负荷预测偏差以及风电出力预测偏差等不确定性因素后,研究了计及风速相关性下的电网最优旋转备用。采用成本效益分析法,建立了系统发电成本、备用成本和期望停电成本之和最小的目标函数,利用基于随机模拟的量子行为粒子群算法对其进行求解,并对相关影响因素进行敏感性分析。通过算例分析了风速相关性对旋转备用的影响,验证了所提模型和算法是可行的。

关键词：风速相关性旋转备用随机模拟量子行为粒子群算法

Leaching kinetics of fluorine during the aluminum removal from spent li-ion battery cathode materials

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Journal of Environmental Sciences 2024年第4期138卷 312-325页

作者： Shengjie li Jianxin Zhu Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China

The high content of aluminum(Al)impurity in the recycled cathode powder seriously affects the extraction efficiency of Nickel,Cobalt,Manganese,and lithium resources and the actual commercial value of recycled materials,so Al removal is crucially important to conform to the industrial standard of spent li-ion battery cathode *** this work,we systematically investigated the leaching process and optimum conditions associated with Al removal from the cathode powder materials collected in a wet cathode-powder peeling and recycling production line of spent li-ion batteries(liBs).Moreover,we specifically studied the leaching of fluorine(F)synergistically happened along with the removal process of Al,which was not concerned about in other studies,but one of the key factors affecting pollution prevention in the recovery *** mechanism of the whole process including the leaching of Al and F from the cathode powder was indicated by using NMR,FTIR,and XPS,and a defluoridation process was preliminarily investigated in this *** leaching kinetics of Al could be successfully described by the shrinking core model,controlled by the diffusion process and the activation energy was 11.14 kJ/***,the leaching of F was attributed to the dissolution of liPF6and decomposition of PVDF,and the kinetics associated was described by Avrami *** interaction of Al and F is advantageous to realize the defluoridation to some *** is expected that our investigation will provide theoretical support for the large-scale recycling of spent liBs.

关键词： Al removal F leaching Cathode powder Heating alkali leaching Leaching kinetics

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风速相关性下的电网阻塞概率预测

电网技术 2016年第6期40卷 1696-1702页

作者：张里刘俊勇刘友波吴杨闫占新李茂贞 BAZARGAN Masoud 四川大学电气信息学院四川省成都市610065 布鲁内尔大学电子与计算机工程系阿尔斯通电网研究与技术中心

大规模风电场接入电网后,由于风电具有间歇性和随机性等特点,会对电网潮流分布产生较大的影响。特别是当风速具有较强的相关性时,会造成部分线路出现输电阻塞。由于风速分布呈现非线性和尾部相关性的特点,使用广义Copula函数对风电场风... 详细信息

大规模风电场接入电网后,由于风电具有间歇性和随机性等特点,会对电网潮流分布产生较大的影响。特别是当风速具有较强的相关性时,会造成部分线路出现输电阻塞。由于风速分布呈现非线性和尾部相关性的特点,使用广义Copula函数对风电场风速进行相关性建模,然后对其进行参数估计,并对风速相关性模型进行评价和对比,最后将特定相关性风速数据应用于潮流优化算法中。通过基于改进的小生境遗传算法的潮流优化和排序集抽样的蒙特卡洛仿真获取断面的潮流有功功率的概率分布,从而预测输电断面的阻塞概率。最后通过IEEE39节点系统的算例表明,在故障条件下风速相关性对电网阻塞有较大的影响,同时所提方法和模型是有效的。

关键词：广义Copula 风速相关性输电阻塞概率潮流

SEI/dead li-turning capacity loss for high-performance anode-free solid-state lithium batteries

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Journal of Energy Chemistry 2024年第9期96卷 145-152页

作者： Qianwen Yin Tianyu li Hongzhang Zhang Guiming Zhong Xiaofei Yang Xianfeng li Division of Energy Storage Dalian National Laboratory for Clean EnergyDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Long-Duration and Large-Scale Energy Storage Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina Laboratory of Advanced Spectro-Electrochemistry and lithium-Ion Batteries Dalian National Laboratory for Clean EnergyDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina

Anode-free solid-state lithium metal batteries(AF-SSLBs)have the potential to deliver higher energy density and improved safety beyond lithium-metal ***,the unclear mechanism for the fast capacity decay in AF-SSLBs,either determined by dead li or solid electrolyte interface(SEI),limits the proposal of effective strategies to prolong cycling *** clarify the underlying mechanism,herein,the evolution of SEI and dead li is quantitatively analyzed by a solid-state nuclear magnetic resonance(ss-NMR)technology in a typical liPF6-based polymer *** results show that the initial capacity loss is attributed to the formation of SEI,while the dead li dominates the following capacity loss and the growth rate is 0.141 mA h cm^(−2)cycle−*** reduce the active li loss,the combination of inorganic-rich SEI and self-healing electrostatic shield effect is proposed to improve the reversibility of li deposition/dissolution behavior,which reduces the capacity loss rate for the initial SEI and following dead li generation by 2.3 and 20.1 folds,*** a result,the initial Coulombic efficiency(ICE)and stable CE increase by 15.1%and 15.3%in li-Cu cells,which guides the rational design of high-performance AF-SSLBs.

关键词： Solid-state lithium batteries Solid-state NMR Anode-free SEI Dead li