Generation and storage dispatch in electricity networks with generator disruptions

We present methods for optimizing generation and storage decisions in an electricity network with multiple unreliable generators, each colocated with one energy storage unit (e.g., battery), and multiple loads under power flow constraints. Our model chooses the amount of energy produced by each generator and the amount of energy stored in each battery in every time period in order to minimize power generation and storage costs when each generator faces stochastic Markovian supply disruptions. This problem cannot be optimized easily using stochastic programming and/or dynamic programming approaches. Therefore, in this study, we present several heuristic methods to find an approximate optimal solution for this system. Each heuristic involves decomposing the network into several single‐generator, single‐battery, multiload systems and solving them optimally using dynamic programming, then obtaining a solution for the original problem by recombining. We discuss the computational performance of the proposed heuristics as well as insights gained from the models. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 493–511, 2015     

随机振动激励下自行火炮的合理车速

自行火炮的悬挂装置,在路面和履带激励下工作。剧烈的振动将影响自行火炮的机动性,根据路面谱的资料,建立了激励频率与车速的关系;利用模态分析的方法,对悬挂装置进行有限元动力分析,得到了悬挂装置的动态特性。从避免共振发生的原理,提出了自行火炮的合理车速。     

按Weibull分布计算滚动轴承的寿命和强度的可靠性

运用weibull分布推导出任意可靠性指标下滚动轴承的寿命和强度计算公式,给出了多列轴承和轴承系统的可靠性计算方法和公式,并按照工程的方法加以简化处理。     

Two‐agent scheduling on a single sequential and compatible batching machine

We study two‐agent scheduling on a single sequential and compatible batching machine in which jobs in each batch are processed sequentially and compatibility means that jobs of distinct agents can be processed in a common batch. A fixed setup time is required before each batch is started. Each agent seeks to optimize some scheduling criterion that depends on the completion times of its own jobs only. We consider several scheduling problems arising from different combinations of some regular scheduling criteria, including the maximum cost (embracing lateness and makespan as its special cases), the total completion time, and the (weighted) number of tardy jobs. Our goal is to find an optimal schedule that minimizes the objective value of one agent, subject to an upper bound on the objective value of the other agent. For each problem under consideration, we provide either a polynomial‐time or a pseudo‐polynomial‐time algorithm to solve it. We also devise a fully polynomial‐time approximation scheme when both agents’ scheduling criteria are the weighted number of tardy jobs.     

DPCA和GRNN在燃气轮机故障诊断的方法

选取其关键部件—喷口加力调节器作为故障诊断研究对象,提出了一种基于动态主元分析(DPCA)和广义回归神经网络(GRNN)相结合的喷口加力调节器故障诊断方法。在燃气轮机专用试验平台对其进行试验,采集喷口加力调节器的高压转子转速、低压转子转速、燃油油量、燃油耗量等参数原始数据,对其进行预处理,并采用DPCA方法对其进行动态主元分析,提取其不同健康状态的主元,构建特征向量,采用特征向量构建GRNN神经网络故障诊断模型,并通过测试数据对该方法的有效性进行试验验证。为表明该方法的有效性,采用了基于GRNN和基于DPCA-RBF的方法对喷口加力调节器不同健康状态进行了诊断技术研究,并对不同方法所得到的诊断结果进行了对比分析。结果表明,采用DPCA和GRNN相结合的故障诊断方法能有效识别出喷口加力调节器不同的健康状态,具有很好的实际应用价值。     

给定人员情况下最小化开发时间和成本的软件项目调度

给出了一种软件项目的随机调度模型.它明确地把调度策略作为输入,一旦调度策略确定,模型就可以输出关于项目的完成时间或成本的一个概率分布.利用随机最优化技术,能够计算出软件项目的一个调度策略,它使得项目在人员给定的情况下开发时间和成本最小.     

动态多因子相关算法及其改进

以组网雷达情报综合处理为背景,针对多站多目标航迹相关问题,首先介绍了动态多因子相关算法的基本原理,然后在此基础上提出了几点改进措施。利用位置因子的重要性对相关判定区域做了限制;利用航向因子对判决结果进行二次修正,同时结合目标的机动检测问题,提高了对目标强机动的检测能力;此外,根据实验结果还对综合处理中的航迹配对准则进行了修正。通过算法的改进不仅改善了航迹相关的质量,还降低了运算量。最后给出了改进后的算法流程图。     

基于ADAMS的齿轮传动系统动态特性仿真

介绍了齿轮传动系统的特点,建立了齿轮传动系统动力学仿真模型。基于ADAMS对街轮传动系统的动力特性进行了仿真,结果表明该模型与齿轮传动箱的动力学特性吻合。本模型和仿真方法为齿轮载荷获取、疲劳寿命预测提供了新的途径。     

回热循环燃气轮机中回热器的动态特性研究

采用多段集中参数模型对具有分布参数特性的回热器建模,简化了由偏微分方程带来的大量计算.应用Matlab/Simlink软件作为仿真平台,采取数值方法求解,对具体回热燃气轮机中的回热器进行了仿真.结果表明,回热器时间常数较大,在回热循环燃气轮机仿真中回热器的热惯性不能忽略,而且是影响系统平衡稳定性的重要因素.     

高速艇自由变深水动力试验研究

通过模型试验,研究了高速艇从压载半潜状态自由变深到高速滑行状态的水动力现象.结果表明,当容积傅氏数大于1.25时,与舷外相通的水能完全自动排出.高速艇自由变深主要有以下5个原因:惯性作用、压载水逐渐排出导致的艇体上抬作用、艇艉由于负压形成的空穴对压载水的吸附作用、艇体动升力导致的艇体上抬作用、有利的艉倾作用.其中对具有较快加速运动的情形,惯性作用起重要地位,艇体动升力在排出流道水方面所发挥的作用相对较小,但在保持流道水排空方面发挥主导作用.