含有恒功率负荷的直流微网鲁棒非脆弱模糊控制

当具有恒功率特性的负荷与源侧换流器级联时,会降低直流微网系统的阻尼,带来稳定性问题。针对上述问题,采用TS模糊模型,对含恒功率负荷的非线性直流微网系统进行建模。为有效抵抗直流微网和控制系统参数的不确定性,设计了一种鲁棒非脆弱控制器,在计算参数不确定矩阵的基础上,推导以线性矩阵不等式表示的Lyapunov指数稳定条件。经Matlab/Simulink仿真测试,所设计控制器满足直流微网对于稳定性的要求,能够提高闭环系统的暂态性能,对系统及控制器内部的不确定性拥有较强的鲁棒性。     

计及综合需求响应的电热气互联能源系统环保经济优化调度

为促进综合能源系统多能协同互补互济,提高能效,以电热气互联能源系统为研究对象,提出了一种多目标协同优化的综合需求响应模型及运行策略求解算法.首先,设计了含综合需求响应的电热气互联能源系统架构,采用能量耦合矩阵对互联系统中多能转化关系进行描述,在分时能源价格机制下,构建了混合时间/空间尺度的多能协同综合需求响应数学模型.然后,以最小化的系统用能成本、环境成本和弃风弃光功率为目标,构建了环保经济优化调度模型,采用结合协同进化思想和非支配排序遗传算法的改进优化算法(Co-NSGA-Ⅱ)对模型进行求解.仿真结果表明,所提出的模型及优化运行策略能够有效提高多能系统间能量协调能力和综合需求响应能力.     

基于模糊和灰色关联的配电自动化开关柜故障诊断方法

针对配电自动化开关柜故障诊断对配电网安全性和可靠性的影响,提出一种基于模糊C均值聚类和灰色关联的配电自动化开关柜故障诊断方法.首先,该方法通过各类遥测信息分层影响因子,计算隶属度函数并采用AHP-熵权法确定权重完成配电自动化开关柜状态评价的分层模糊运算.然后,针对配电自动化开关柜典型故障信息,应用FCM法聚类后灰色关联分析,完成六类配电自动化开关柜典型故障的诊断,在保证诊断准确度的同时极大地减少了计算量.最后,对北京市某地区配电自动化开关柜故障信息的状态评价及故障诊断结果并与传统灰色关联分析对比表明,所提出方法的故障诊断准确度可达90％,为快速、准确、客观地实现对配电自动化开关柜状态的实时监测及智能电网自动化的进一步发展提供参考.     

油-气管道检测机器人技术现状及展望

为提高油-气管道检测的效果,结合国内外典型管道机器人的特点,综合分析了管道机器人运动控制技术、定位技术和实时检测技术3个方面的现状,并指出了核心技术的不足;针对石油化工行业高温带压管道环境,提出管道检测机器人的研究重点为分层模糊神经网络运动控制技术、CCD视觉定位技术、低频电磁定位技术和分层图像分割的优化方法等。为进一步提高化工油-气管道内检测机器人的检测效果提供了理论依据。     

基于阈值分割的松材线虫病树计数与定位

松材病虫病是最紧迫的威胁之一,最近对中国针叶林造成了严重破坏,为了阻止松材病虫病的快速传播,必须在早期准确检测和计数受感染的树木。提出了一种基于密度图的方法,用于从高分辨率航拍图像中估计具有松材病虫病的树木数量,方法引入了阈值分割、形态处理和超像素技术,以最大限度地减少由于建筑物和岩石等相似背景物体引起的误差。实验表明,所提出的方法优于密度学习 算法,平均绝对误差、均方根误差和绝对误差方差分别从21.3、22.2和127.2减少到8.0、11.7和59.6,计数准确率从54.7%提高到81.3%。     

严重事故工况下 M31核电机组应急补水设施可用性研究

国内核电厂吸取福岛事故的经验教训,增加了严重事故后应急补水设施,完善了应急补水的相关功能,进一步提高了核电厂的安全水平.对M 310核电机组严重事故状态下的应急补水设施进行技术分析,分析计算结果表明,应急水源到应急补水泵接入点距离过长,水损过大,实际补水压力及流量无法满足设计要求.针对该问题提出一系列设计改进措施,优化改进后的应急补水设施可保证严重事故工况下M 310核电机组应急补水设施的可用性,从而进一步提高核电机组的安全性.     

Molecular Mechanisms Underlying the Beneficial Effects of Exercise on Brain Function and Neurological Disorders

As life expectancy has increased, particularly in developed countries, due to medical advances and increased prosperity, age-related neurological diseases and mental health disorders have become more prevalent health issues, reducing the well-being and quality of life of sufferers and their families. In recent decades, due to reduced work-related levels of physical activity, and key research insights, prescribing adequate exercise has become an innovative strategy to prevent or delay the onset of these pathologies and has been demonstrated to have therapeutic benefits when used as a sole or combination treatment. Recent evidence suggests that the beneficial effects of exercise on the brain are related to several underlying mechanisms related to muscle–brain, liver–brain and gut–brain crosstalk. Therefore, this review aims to summarize the most relevant current knowledge of the impact of exercise on mood disorders and neurodegenerative diseases, and to highlight the established and potential underlying mechanisms involved in exercise–brain communication and their benefits for physiology and brain function.     

Structure, magnetization, and magnetostriction of Sm-R-Fe （R = Pr, Nd） thin films

The structure, magnetization, and magnetostriction of Sm0.9Pr0.1Fex and Sm1-xNdxFel.9 thin films have been investigated using X-ray diffraction, vibrating sample magnetometer, and optical cantilever method. It is found that the structure of Sm0.9Pr0.1Fex thin films consists of an Sm-Pr-Fe amorphous phase when x≤2.69 and that of Sm1-xNdxFel.9 thin films consists of an Sm-Nd-Fe amorphous phase. The in-plane magnetization of Sm0.91Pr0.1Fex thin films increases with increase in the Fe content, and low values of the in-plane coercivity occur in the range of 1.62≤ x≤ 2.28. The magnetostriction value of Sm0.91Pr0.1Fex thin films increases with increasing the Fe content when x ≤ 1.94 and decreases when x 〉 1.94. The in-plane magnetostriction of Sm1-xNdxFe1.9 thin films under low magnetic fields has been improved by the substitution of Nd for Sm when x = 0.2.     

Fatigue crack growth resistance of SiC<Subscript>p</Subscript> reinforced Al alloys: Effects of particle size,particle volume fraction,and matrix strength

The main aim of this work was to study the effects of particle size, particle volume fraction, and matrix strength on the long fatigue crack growth resistance of two different grades of Al alloys (Al2124-T1 and Al6061-T1) reinforced with SiC particles. Basically, it was found that an increase in particle volume fraction and particle size increases the fatigue crack growth resistance at near threshold and Paris regimen, with matrix strength having a smaller effect. Near final failure, the stronger and more brittle composites are affected more by static modes of failure as the applied maximum stress intensity factor (K _max) approaches mode I plane strain fracture toughness (K _IC).     

Quantification of secondary structure prediction improvement using multiple alignments

The use of multiple sequence alignments for secondary structurepredictions is analysed. Seven different protein families, containingonly sequences of known structure, were considered to providea range of alignment and prediction conditions. Using alignmentsobtained by spatial superposition of main chain atoms in knowntertiary protein structures allowed a mean of 8% in secondarystructure prediction accuracy, when compared to those obtainedfrom the individual sequences. Substitution of these alignmentsby those determined directly from an automated sequence alignmentalgorithm showed variations in the prediction accuracy whichcorrelated with the quality of the multiple alignments and distanceof the primary sequence. Secondary structure predictions canbe reliably improved using alignments from an automatic alignmentprocedure with a mean increase of 6.87percnt;, giving an overallprediction accuracy of 68.5%, if there is a minimum of 25% sequenceidentity between all sequences in a family.