Reliability and sensitivity analysis of loop-designed security and stability control system in interconnected power systems

Security and stability control system(SSCS)in power systems involves collecting information and sending the decision from/to control stations at different layers;the tree structure of the SSCS requires more levels.Failure of a station or channel can cause all the execution stations(EXs)to be out of control.The randomness of the controllable capacity of the EXs increases the difficulty of the reliability evaluation of the SSCS.In this study,the loop designed SSCS and reliability analysis are examined for the interconnected systems.The uncertainty analysis of the controllable capacity based on the evidence theory for the SSCS is proposed.The bidirectional and loop channels are introduced to reduce the layers and stations of the existing SSCS with tree configuration.The reliability evaluation and sensitivity analysis are proposed to quantify the controllability and vulnerable components for the SSCS in different configurations.By aiming at the randomness of the controllable capacity of the EXs,the uncertainty analysis of the controllable capacity of the SSCS based on the evidence theory is proposed to quantify the probability of the SSCS for balancing the active power deficiency of the grid.

INTEGRATION OF CELL FORMATION AND LAYOUT DESIGN IN THE UNIDIRECTIONAL LOOP MATERIAL HANDLING ENVIRONMENT

A two-phase approach is proposed to deal with the integration problem in theloop layout. Tabu search is applied to cell construction in phase 1 to minimize the inter-cell flow,and the heuristic for layout design is used as phase 2 to optimize the sum of intra-cell andinter-cell transportation cost. The final computational results demonstrate the validation of thetwo-phase approach.

Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm

As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.

Literature Review on Network Design Problems in Closed Loop and Reverse Supply Chains

The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.

Control-Relevant Identification Test Design for Open-Loop Experiment

An optimal experiment design (DED) with respect to the use of designing model-base controller was studied. The mean squared error at the setpoint is chosen as the performance criterion. Simple design formulas are derived based on the asymptotic theory. The signal is used for the open loop experiment. The design constraint is the power of the process signal or the process input signal. The results give guideline for identification application.

An Integrated Multi-Echelon Model for a Sustainable Closed Loop Supply Chain Network Design

The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.

Development and Comparison of Hybrid Genetic Algorithms for Network Design Problem in Closed Loop Supply Chain

This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems.

基于区段的地下空间环路通风排烟设计方法

为实现多匝道、多地块、内部空间复杂的地下空间环路烟气控制,提出一种区段式排烟方法:将地下空间环路与地块通过防火门分隔,形成独立的构筑物,结合隧道结构,确定风机房位置,划分区段,使烟气在一定区域内排出。以滨江地下环路为例,在隧道主线上均匀布置6个排烟风机房,并以此为节点,将隧道划分为8个区段。当火灾发生时,开启所在区段两端的风机进行排烟。由于各区段不设置固定分隔,整个风道是贯通的,因而各个风机房里的风机可互相作为备用排烟风机,以降低成本。采用数值模拟软件建立模型,对排烟口开启数量和间距进行模拟,确定排烟量为90 m^(3)/s、排烟口间距为30 m、开启8个排烟口的排烟方案。从人员疏散环境以及排烟效率对典型区段进行分析,结果表明:烟气控制在一定的范围内,人员疏散环境安全,排烟效率达到90%,证明方案合理可行。

基于大创项目的应用技术开发实践——以数字电源教具设计为例

针对教学环节中的难点和重点内容,基于dsPIC33CK256MP505数字信号控制器芯片,为开发新型的数字电源教具,在降压转换器的电路拓扑结构基础上,利用MplabPowerSmart开发软件,完成了电压控制型数字环路补偿器的设计,实现3P3Z数字补偿器的实时算法功能。

无人集群体系设计与仿真评估方法

无人集群作战正在成为一种改变战争形态的新型作战样式。针对当前无人装备试验相对独立、缺乏一体化闭环设计与集成验证手段的问题,提出了一种体系设计与仿真评估方法。该方法包含了作战概念建模与需求分析、体系设计理念与体系设计、内场仿真实验与方案探索、体系原型研发与评估优化、外场集成试验与综合决策五个阶段,创新发展了体系设计、仿真试验、评估优化的理论方法、工具链路、集成环境,为无人集群的体系化、智能化、实战化提供了一定的理论与技术支撑。

实物在环实时仿真教学法研究

新工科背景下,为培养学生创新实践能力,建设国家级一流本科课程,提出了一种新型的适用于电子技术基础课程的教学方法——实物在环实时仿真教学法,应用于北航数字电子技术基础课程。通过口袋仪器和实际硬件进行数字电路设计,可解决虚拟仿真的真实性问题,培养学生解决复杂工程问题的能力;通过虚拟仪器展示波形,使知识难点可视化,有助于学生更快、更深刻理解。实践表明,这种方法取得了良好的教学效果,提高了教学质量。通过该教学方法学生获得了更丰富的学习体验,培养了创新实践能力。

淡水鱼类线粒体DNA D-loop基因的引物设计和应用

线粒体DNA测序已广泛应用于鉴定和区分种类以及解决系统进化关系问题。本文选取已测定的主要淡水鱼类的线粒体DNA D-loop基因序列进行同源性比较,寻找保守序列,利用简并性原则设计一对通用的简并引物。利用设计的引物对广东省珠江流域主要的淡水鱼类线粒体DNA D-loop控制区基因进行扩增,均能获得单一的目的DNA片断,特异性扩增产物大小为1 kb左右。经测序及与GenBank同源序列的比较,证实为包含线粒体控制区全序列的扩增产物。本研究所设计的引物和应用的方法可以快速地同时对多种鱼类进行大规模的遗传背景分析,鉴定某些难于鉴别的近缘物种,为我国鱼类的种类鉴定、地理种群鉴别及种质资源的评估提供重要的工具。

化学链燃烧中载氧体结构设计对抗磨性的影响研究

在化学链反应过程中,载氧体作为氧和热量的载体起着至关重要的作用,载氧体设计一直是化学链技术研究的重点和难点。化学链燃烧通常发生在流化床反应器中,由于化学反应带来的化学应力对载氧体磨损贡献率最大,导致载氧体寿命大大缩短,有效成分流失。从载氧体结构设计角度出发,定性评价了不同复合载氧体的抗磨损机理:核壳结构抑制了活性组分的相分离现象,避免了由于活性组分表面磨损带来的载氧体失活;添加Al_(2)O_(3)纤维和“铆钉”抑制了裂纹扩展,减缓了材料的磨损;添加燃料灰改善了复合载氧体的骨架强度,提高了载氧体抗磨性和抗结渣团聚性;利用复合载氧体的协同增效提高了反应活性,减缓了烧结团聚现象。从磨损动力学和使用寿命角度出发,定量比较了不同载氧体的磨损情况:通过对数拟合Gwyn磨损动力学方程,求出不同载氧体拟合参数K和n,可以反映磨损机制和磨损变化规律。

一种变自由度单回路机构的变拓扑结构设计及拓扑分析

特殊单回路机构通过一些特殊位置后会发生自由度变化,从而使其拓扑学、运动学/动力学性能发生变化,并适用于不同的应用背景。研究设计了一种由8个转动副(R)组成的单回路并联机构,它有3种运动模式,分别为2自由度、4自由度以及3自由度驱动,对应3个机构;然后,分析计算了3种运动模式下机构的方位特征集、自由度、耦合度3个主要拓扑特性,并分析了3种机构变拓扑结构的稳定性及可转变性;同时,对运动模式1、模式3下机构的位置正反解进行了分析。为基于这种变自由度单回路机构单元的可重构并联机构的研究提供了基础。

高温环路热管设计方法研究与传热极限分析

高超声速飞行器在以高超声速飞行时尾喷管会面临严酷的燃烧热考验,结合高温热管导热性强和环路热管传热距离长等优势,高温环路热管可以作为尾喷管热防护的新方法.根据液态钠高导热系数及高表面张力的物性设计了一种新型蒸发器,提出了一套高温环路热管的设计流程.使用这套设计流程设计了一根高温环路热管,结合热管传热极限的计算方法,对钠热管进行仿真计算,分析了温度和结构对热管传热极限的影响.研究发现在高温环路热管的运行温区内,热管的传热性能随着温度升高一般由声速极限、毛细极限和沸腾极限依次决定.结合研究结论提出了热管结构优化方法,为热管设计提供了理论依据.

成像制导导弹试验鉴定半实物仿真系统设计与应用

围绕陆军常规红外成像制导导弹试验鉴定仿真实验需求,对仿真系统进行了特点分析,设计了红外成像制导导弹试验鉴定半实物仿真实验系统。解决了系统通用化设计、异构通讯数据快速迭代开发、高辐射红外干扰双通道耦合仿真、高精度定时与时间同步、复杂战场环境生成等关键技术。通过典型反坦克和直升机机载导弹等试验,进行了应用验证。系统可用于红外成像制导导弹鉴定仿真实验,为武器系统实战化考核、极限边界性能和抗干扰性能试验等提供有力支撑。

基于人在回路机制的个性化作业设计:理论模型及实践理路

个性化作业是落实“双减”政策,实现减负提质的重要途径。人工智能为实现个性化作业提供了技术支撑,但在实践中,由于其内部工作原理对用户不可见,且存在价值观、情感等方面的缺失问题,降低了其在个性化作业实践中应用的深度与效果。人在回路机制是指通过置信度评估的方法对人工智能算法生成的结果进行评估,进而决定是否执行算法结果的人机协同方法。基于人在回路机制的个性化作业设计理论模型,以作业实践为核心流程,以人机协同、认知诊断、干预反馈等为理论指导,将人在回路机制融入作业布置、作业诊断和作业辅导的关键环节中,实现了人类智能与人工智能的协同工作。在此基础上提出的个性化作业实践路径,包含基于学习者画像的作业习题推荐、基于多模态学习分析技术的错因诊断,以及基于多模态资源推送的作业辅导三个阶段,分别回答了做什么题、错在哪里,以及如何辅导等作业实践中的关键问题,形成了人机协同机制下智能技术赋能作业实践的闭环。基于该实践路径研发的原型系统,已在一线教学单位开展了实践,初步验证了方法的可行性。

基于PREA环的海上编队防空反导棋谱设计

论文针对防空反导过程中大型舰艇编队的防空阵位问题开展研究,分析了传统舰艇编队防空队形的配置方法和局限性。运用PREA环指挥控制机理,重新审视了防空反导的作战全过程,提出了基于PREA环的防空反导棋谱模型设计方法,利用六角格构设了防空反导棋谱,并阐述了棋谱防空的对抗过程,对于指导未来防空反导作战、装备设计有一定指导价值。

基于集成学习算法的可持续模块划分方法

随着客户对可持续产品需求的增加,针对产品功能和结构属性的传统模块化设计,正逐步转向可持续模块化设计。然而当前的模块划分方法更注重于对模块化指数的优化迭代,忽略了产品多组件间的信息传递和反馈。为此,提出一种集成学习算法的可持续模块划分方法。首先,面向组件间的回收性、材料和寿命因素,构建产品的综合DSM模型。其次,提出集成学习算法的弱分类器构建规则和强分类器结合策略。最后,通过颚式破碎机案例验证了所提模块划分方法的可行性,集成学习算法同直接聚类和遗传算法的模块划分结果对比,表明所提方法各模块组件更接近DSM的对角线。

燃机安全油回路问题分析及优化

三菱M701F4型燃气-蒸汽联合循环分轴布置的燃机安全油跳闸回路只设计有一个跳闸电磁阀,存在因单一跳闸电磁阀故障,机组拒动或误动的安全风险。通过对燃机安全油回路以及跳闸电磁阀控制回路的优化,将单一跳闸电磁阀改造为4个电磁阀双通道先并联再串联控制,解决了机组存在误动或拒动的安全隐患,同时实现了电磁阀在线试验功能,提高了运行的可靠性,在同类型燃气机组中具有普遍的推广价值。