直流故障引发直流外送系统新能源脱网问题研究

含高比例新能源的直流外送系统由于送端发电设备支撑能力薄弱，在直流故障发生后新能源发电设备面临着过电压脱网风险。为了防止新能源脱网事故的发生，首先建立新能源直流外送系统仿真模型分析新能源机端暂态过电压形成机理，其次根据无功传输规律分析常规机组、调相机、电气距离等因素对新能源脱网的影响，定量分析常规机组的电压调节灵敏度，在此基础上利用新能源短路比指标对新能源脱网情况进行量化分析，最后根据分析结果提出了提高短路容量、提高风机高压穿越能力等预防直流故障后新能源脱网的策略，采用某规划的直流外送系统BPA仿真算例验证策略的有效性

New Materials of Plants in Fujian Province(II)

在对福建的丹霞植被进行调查时,发现福建省被子植物分布新纪录6个,分别是:卵叶阴山荠yInSHAnIA PArAdOXA、小花龙芽草AgrIMOnIA nIPPOnICA VAr.OCCIdEnTAlIS、阔柱黄杨buXuS lATISTylA、猫乳rHAMnEllA frAngulOIdES、休宁小花苣苔CHIrITOPSIS XIunIngEnSIS和宜昌苔草CArEX ASCOCETrA。标本存放于厦门大学植物本馆(Au)。During the course of investigating the plants in danxia of Fujian province, Southeast of China, six newly recorded taxa of Angiosperms were found.They are respectively Yinshania paradoxa, Agrimonia nipponica var.occidentalis, Buxus latistyla, Rhamnella franguloides, Chiritopsis xiuningensis and Carex ascocetra.The voucher specimens are deposited in the Herbarium of Xiamen University(AU).上海市绿化和市容管理局项目(G102405

齿轮接触疲劳微观结构作用研究综述

随着航空、风电等装备对齿轮传动功率密度、承载能力、寿命要求的提高，齿轮接触疲劳失效成为限制现代齿轮装备服役性能与可靠性的重要瓶颈，其中，材料的微观结构特征从根本上决定了齿轮等服役件疲劳性能的优劣。通过调研国内外相关研究现状，介绍了齿轮材料中残余奥氏体、碳化物、晶粒等主要微观结构及其对齿轮接触疲劳性能的影响。归纳了现有基于微观结构建模和微结构力学本构模型的齿轮疲劳数值模拟方法，用来描述齿轮接触疲劳中的微结构力学行为，以提升对齿轮疲劳关键特征和机理的理解。重点对齿轮存在的多种接触疲劳失效形式进行了详细阐述，分析了影响齿轮接触疲劳失效的主导因素、诱发的微观结构与力学性能变化特征以及潜在机理。为进一步理解齿轮服役过程中的微观结构演化特征与力学性能退化的关联关系以及接触疲劳失效内在机理、形成高性能齿轮抗疲劳设计制造方法提供了参考

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies