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Coordinated Control Strategy of New Energy Power Generation System with Hybrid Energy Storage Unit

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Energy Engineering 2025年第1期122卷 167-184页

作者： yun Zhang ZifenHan Biao Tian Ning Chen yi Fan School of Mechano-Electronic Engineering Xidian UniversityXi’an710071China Electric Power Control Center State Grid Gansu Electric Power CompanyLanzhou730030China Electric Power Control Center State Grid Gansu Electric Power Company Zhangye Power Supply BranchZhangye734000China

The new energy power generation is becoming increasingly important in the power *** as photovoltaic power generation has become a research hotspot,however,due to the characteristics of light radiation changes,photovoltaic power generation is unstable and random,resulting in a low utilization rate and directly affecting the stability of the power *** solve this problem,this paper proposes a coordinated control strategy for a newenergy power generation system with a hybrid energy storage unit based on the lithium iron phosphate-supercapacitor hybrid energy storage ***,the variational mode decomposition algorithm is used to separate the high and low frequencies of the power signal,which is conducive to the rapid and accurate suppression of the power fluctuation of the energy storage ***,the fuzzy control algorithm is introduced to balance the power between energy *** this paper,the actual data is used for simulation,and the simulation results show that the strategy realizes the effective suppression of the bus voltage fluctuation and the accurate control of the internal state of the energy storage unit,effectively avoiding problems such as overshoot and over-discharge,and can significantly improve the stability of the photovoltaic power generation systemand the stability of the Direct Current *** is of great significance to promote the development of collaborative control technology for photovoltaic hybrid energy storage units.

关键词： Photovoltaic power suppression hybrid energy storage unit variationalmodal decomposition fuzzy control power distribution control

The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun yun Wen-Biao Han yi-Yang Guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

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转速对导叶式液力回收透平性能的影响

热能动力工程 2021年第7期36卷 46-53页

作者：毕智高梁颖仪云云张玉鹤榆林学院化学与化工学院陕西榆林719000 东营区科正石油技术服务部山东东营257061 中国交通建设股份有限公司北京100017

为了研究转速对导叶式液力回收透平性能影响的特征和规律,采用CFD方法对960~2960 r/min(间隔500 r/min共5组)转速下运行的含导叶部件的离心泵反转作液力透平进行了数值计算。结果表明:不同转速下透平的外特性曲线变化趋势基本一致,最佳... 详细信息

为了研究转速对导叶式液力回收透平性能影响的特征和规律,采用CFD方法对960~2960 r/min(间隔500 r/min共5组)转速下运行的含导叶部件的离心泵反转作液力透平进行了数值计算。结果表明:不同转速下透平的外特性曲线变化趋势基本一致,最佳工况的效率及比转速较为接近,改变转速对提高透平在偏工况下的运行效率效果显著;降低转速在外部流量和压差均降低的条件下较为适宜,提高转速在外部流量和压差均升高的条件下较为适宜,当调节转速不能完全适应外部条件的变化时,需采取其他调节方式配合实施;提高转速后透平的工作流量范围变宽,该范围内扬程和功率曲线变陡;降低转速工作流量范围缩小,该范围内的扬程与功率曲线相对平坦;随着转速的提高,流量换算系数KQ、扬程换算系数KH及功率换算系数KP均呈先增大后减小的趋势,各换算系数均接近于1,表明比例定律能够较好地预测导叶式液力透平的最佳工况性能。

关键词：转速导叶泵作液力透平性能曲线计算流体动力学

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采用OpenVPN的虚拟专用网设计方案

武汉工程大学学报 2015年第7期37卷 75-78页

作者：伊芸芸安徽工程大学计算机与信息学院安徽芜湖241000

对于做科研的教师和学生,经常使用校园资源查询一些科研资料,由于IP地址的限制,只有位于校园网的电脑才能访问这些资源,回到家中或离开了学校,就无法使用这些资源,为了解决这个问题,需要建立一个虚拟专用网.在不改变现有网络结构的情况... 详细信息

对于做科研的教师和学生,经常使用校园资源查询一些科研资料,由于IP地址的限制,只有位于校园网的电脑才能访问这些资源,回到家中或离开了学校,就无法使用这些资源,为了解决这个问题,需要建立一个虚拟专用网.在不改变现有网络结构的情况下,采用OpenVPN技术,建立基于校园环境的虚拟专用网方案,采用用户名密码的认证方式,不使用证书认证方式,这样方便系统维护和客户使用.同时该方案还实现了实时查看用户的状态,上线和下线时间,防止多用户同时用一个账号登陆虚拟网的功能,通过配置Linux自带的防火墙,保障了校园网的安全,最终实现了一个低成本高安全的虚拟专用网.经过数月的运行,表明该虚拟专用网负载能力强,速度快,稳定性好.

关键词： OpenVPN VPN 虚拟专线校园网

Maintaining moderate levels of hypochlorous acid promotes neural stem cell proliferation and differentiation in the recovery phase of stroke

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Neural Regeneration Research 2025年第3期20卷 845-857页

作者： Lin-Yan Huang yi-De Zhang Jie Chen Hai-Di Fan Wan Wang Bin Wang Ju-yun Ma Peng-Peng Li Hai-Wei Pu Xin-yian Guo Jian-Gang Shen Su-Hua Qi School of Medical Technology Xuzhou Key Laboratory of Laboratory DiagnosticsXuzhou Medical UniversityXuzhouJiangsu ProvinceChina School of Pharmacy Xuzhou Medical UniversityXuzhouJiangsu ProvinceChina Department of Laboratory Medicine Branch Hospital of Huai’an First People’s HospitalHuai’anJiangsu ProvinceChina Department of Laboratory Medicine the Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsu ProvinceChina School of Chinese Medicine The University of Hong KongHong Kong Special Administrative RegionChina

It has been shown clinically that continuous removal of ischemia/reperfusion-induced reactive oxygen species is not conducive to the recovery of late ***,previous studies have shown that excessive increases in hypochlorous acid after stroke can cause severe damage to brain *** previous studies have found that a small amount of hypochlorous acid still exists in the later stage of stroke,but its specific role and mechanism are currently *** simulate stroke in vivo,a middle cerebral artery occlusion rat model was established,with an oxygen-glucose deprivation/reoxygenation model established in vitro to mimic *** found that in the early stage(within 24 hours)of ischemic stroke,neutrophils produced a large amount of hypochlorous acid,while in the recovery phase(10 days after stroke),microglia were activated and produced a small amount of hypochlorous ***,in acute stroke in rats,hypochlorous acid production was prevented using a hypochlorous acid scavenger,taurine,or myeloperoxidase inhibitor,4-aminobenzoic acid *** results showed that high levels of hypochlorous acid(200μM)induced neuronal apoptosis after oxygen/glucose deprivation/***,in the recovery phase of the middle cerebral artery occlusion model,a moderate level of hypochlorous acid promoted the proliferation and differentiation of neural stem cells into neurons and *** suggests that hypochlorous acid plays different roles at different phases of cerebral ischemia/reperfusion *** levels of hypochlorous acid(5 and 100μM)promoted nuclear translocation ofβ-*** transfection of single-site mutation plasmids,we found that hypochlorous acid induced chlorination of theβ-catenin tyrosine 30 residue,which promoted nuclear ***,our study indicates that maintaining low levels of hypochlorous acid plays a key role in the recovery of neurological function.

关键词： cell differentiation cerebral ischemia/reperfusion injury chlorination hypochlorous acid microglia neural stem cell neurogenesis nuclear translocation stroke β-catenin