两阶段机场多特种车辆协同充电调度策略

在机场区域内,新能源特种车辆充电具有很大的随机性,且不同种类特种车辆充电情况各不相同,造成飞行区内各充电桩利用率相差过大,影响机场配电网的健康运行。针对上述现象,设计了十一车型两阶段特种车辆协同充电调度策略。第一阶段通过分析不同车辆对航班的保障流程,以同一车辆对相邻航班保障起始时间差值最小为目标,生成存在充电需求的车辆序列。第二阶段以减小飞行区各区充电桩时间利用率方差和车辆充电排队时间为目标,在上一阶段车辆序列基础上采用改进的自适应变异粒子群算法进行模型求解,并以国内某枢纽机场的实际车辆充电数据进行对比验证。实验表明,采用该算法后,车辆充电时的等待时间降低了93.5%、飞行区充电桩时间利用率的整体方差下降了88.7%,达到了均衡使用充电桩的目标。     

电动汽车大规模充电对电网经济性的影响评价

电动汽车对节能减排、应对气候变化具有重要作用。为满足日益规模化的电动汽车充电需求,电网在建设、运行等多个方面都需要加大投入、积极适应。提出了一种综合评估电动汽车规模化充电对电网经济性影响的指标体系和计算方法,建立了建设经济性、运行经济性和社会经济性3个分析维度,提出了衡量电网相关投资和效益的货币化指标体系,分析了有序充电和无序充电模式对电网经济性的影响,并以典型地区为例研究了不同电动汽车渗透率和不同充电模式对电网经济性的影响。     

基于灰色预测的多变量自适应PID控制器

针对汽轮发电机组具有多变量、强耦合、大时滞等特点,提出一种基于灰色预测的多变量自适应PSD控制算法。该方案通过一组灰色系统预测模型GM（1,N）对多变量系统的输出预测实现对角解耦。采用无辨识智能自适应PSD控制算法优化PID控制器的参数,用优化后的PID控制器对每个子系统进行控制。该方案不需要精确的数学模型,在线估计参数少,计算简单。仿真结果表明,与其他方法相比,这种控制方法响应速度更快,而且具有更好的自适应性和鲁棒性。     

基于多样性反馈的粒子群聚类算法

传统粒子群聚类算法容易陷入局部最优,聚类的准确度不高。针对这些问题,提出一种改进的离子群聚类算法,该算法基于一种新的惯性权重函数并引入基于多样性反馈的beta分布变异来保证种群的多样性。对Iris数据的测试结果表明,在相同的条件下,改进的粒子群聚类算法在聚类的准确度方面优于传统的粒子群聚类算法。     

大型焦炉能量流研究

研究了大型焦炉的能量流,重点分析大型焦炉的高效率能量转换、加热焦炉用煤气热能的节约、焦炉煤气由燃料化利用向资源化利用的提升、焦炉支出热的回收和高效利用;充分论述大型干熄焦装置宜采用高温高压锅炉。     

基于粒子滤波的多区域辨识性建模跟踪算法

为使跟踪算法中的目标模型不被相同特征的背景像素所干扰,在粒子滤波的框架下引入多区域辨识性建模机制,提出1种新的鲁棒的目标跟踪算法。提出的算法侧重能够辨识前景与背景的最有效信息,把目标物体划分为多个子区域。通过统计子区域与背景类别的类内/类间特性选择出最具信息量的子区域。在选出的目标区域基础上,提出的算法以贝叶斯的方式同时考虑图像信息及空间信息,建立具有辨识性的目标表观模型,并在粒子滤波的更新阶段用以估量目标的所在区域。在一系列具有挑战性的视频序列上的实验结果证明了,在许多复杂场景下,提出的方法与传统的粒子滤波跟踪器相比的鲁棒性以及有效性。     

Linear hybrid simulations of low-frequency fishbone instability driven by energetic passing particles in tokamak plasmas

A linear simulation study of energetic passing particle-driven low-frequency fishbone instability in tokamak plasmas has been carried out using the global kinetic-MHD (magnetohydrodynamics) hybrid code M3D-K. This work is focused on the interaction of energetic passing beam ions andn=1 mode with a monotonic safety factorqprofile andSpecifically, the stability and mode frequency as well as mode structure of then=1 mode are calculated for scans of parameter values of beam ion beta, beam ion injection energy, beam ion orbit width, beam ion beta profile, as well as background plasma beta. The excited modes are identified as a low-frequency fishbone with the corresponding resonance ofwhereis the beam ion toroidal transit frequency andis the beam ion poloidal transit frequency. The simulated mode frequency is approximately proportional to the beam ion injection energy and beam ion orbit width. The mode structure is similar to that of internal kink mode. These simulation results are similar to the analytic theory of Yuet al.     

超声波检测过程的曲面重建技术

为了提高超声波检测技术的自动化程度和精度,在针对大型曲面结构的自动化超声检测过程中,采用二次建模方法进行曲面重建,即基于边界线和特征线的初始曲面建模方法与基于扫描线的网格划分曲面重建方法,并对此方法进行了计算机仿真与试验。     

Structural Insights into Iron Ions Accumulation in Dps Nanocage

Dps (DNA-binding protein from starved cells) is well known for the structural protection of bacterial DNA by the formation of highly ordered intracellular assemblies under stress conditions. Moreover, this ferritin-like protein can perform fast oxidation of ferrous ions and subsequently accumulate clusters of ferric ions in its nanocages, thus providing the bacterium with physical and chemical protection. Here, cryo-electron microscopy was used to study the accumulation of iron ions in the nanocage of a Dps protein from Escherichia coli. We demonstrate that Fe²⁺ concentration in the solution and incubation time have an insignificant effect on the volume and the morphology of iron minerals formed in Dps nanocages. However, an increase in the Fe²⁺ level leads to an increase in the proportion of larger clusters and the clusters themselves are composed of discrete ~1–1.5 nm subunits.     

Effect of particle size distribution on green properties during high velocity compaction

Iron powders with two different particle size distributions were compacted by high velocity compaction. The influences of particle size distribution and impact velocity on green properties, including green density, springback, tensile strength and bending strength etc., were studied with scanning electron microscopy (SEM) and a computer controlled universal testing machine. The results show that the particle size distribution and the impact velocity strongly affect its properties. Wider size distribution results in green compact with higher density and better strength. Furthermore, springback of compacts is lower produced by the powder with wider size distribution, especially for radial springback. As impact velocity increases, its green density and green strength gradually increases, but the increasing rate of density decreases gradually. No special relation is found between springback and impact velocity. In addition, the axial springback and the bending strength are higher than the radial springback and the tensile strength, respectively.