浅析电梯并联运行的几种调度方法

对电梯并联运行的背景进行了介绍,在此基础上对各种调度方法的算法及优缺点进行了较为详细分析,对电梯并联运行方法的选择及电梯并联控制的软件编程具有一定的参考价值。

俞桥水库和谐调度模型应用研究

水库和谐调度准则包括合理配置原则、健康调度规则、非汛期泄量原则、防洪调度规则等。建立了俞桥水库和谐调度模型,分析了各子模型求解过程,并以俞桥水库1985年来水资料,对和谐调度与传统调度进行了调度效益同步演算。结果表明:和谐调度后城市工业、其他用水量及灌溉缺水量都有所变大,发电效益减少了0.256亿元,但兴利效益减少程度是可以接受的;和谐调度使水库弃水量减少了约2 913万m3,水资源有效利用率由80.67%提高到了84.63%,保证了河流健康用水,社会、经济和环境综合效益最大。

基于电力节能减排双目标调度优化模型及方法的研究

节能发电调度的实施意味着高能耗高污染的发电机组能够获得的发电小时数将越来越少,客观上有利于低效小火电机组加快关停,优化电力工业的结构和布局。以节能环保、经济、公平为目标,建立兼顾购电费用与能源节约的模糊双目标节能发电调度优化模型,并利用模糊多目标规划理论将该模型转化为单目标规划问题并对其进行求解。算例结果表明,该模型符合节能配置原则。

GPS调度管理系统应用

矿山GPS调度管理系统对卡车、电铲等进行实时动态优化调度,其主要功能就是通过对露天矿主要采运设备的位置、状态、物料等信息的采集,实现对卡车、电铲等设备运行的实时跟踪与显示,优化调度卡车运行,及时准确地查询统计当前生产情况,从而起到优化车队运行、准确执行生产计划等作用,以此达到提高矿山产量、节省费用、取得较高经济效益之目的。

火电机组年合同电量的编制与分解算法研究

在传统调度、完全市场、限量竞价三种模式下,提出了火电机组年合同电量的编制与分解算法。算法从兼顾电网调度公平性和经济性的角度出发,以发电-负荷平衡、最大/最小发电量、机组检修计划等条件为约束,对火电机组的年合同电量进行编制和分解。算法通过调整各种模式下交易电量的市场份额以适应市场交易机制的变化,并对不同机制下的年合同电量提出了相应不同的编制与分解算法,具有较强的适用性和适度的前瞻性。某地方电网算例验证了该算法的实用性和有效性。

Simultaneous scheduling of machines and automated guided vehicles in flexible manufacturing systems using genetic algorithms

The problem of simultaneous scheduling of machines and vehicles in flexible manufacturing system (FMS) was addressed.A spreadsheet based genetic algorithm (GA) approach was presented to solve the problem.A domain independent general purpose GA was used,which was an add-in to the spreadsheet software.An adaptation of the propritary GA software was demonstrated to the problem of minimizing the total completion time or makespan for simultaneous scheduling of machines and vehicles in flexible manufacturing systems.Computational results are presented for a benchmark with 82 test problems,which have been constructed by other researchers.The achieved results are comparable to the previous approaches.The proposed approach can be also applied to other problems or objective functions without changing the GA routine or the spreadsheet model.

优化5G网络Ping包时延的应用研究

随着5G ToB业务的发展,其高可靠低时延应用场景对5G非独立组网的时延提出更高的要求,降低时延显得尤为重要。用户面Ping包时延作为新开基站单站验收的KPI重要指标之一,若Ping包时延达不到标准,将会降低用户满意感知度。本文首先分析了产生Ping时延过大原因,在传统上行调度的基础上,引入上行预调度、智能预调度,经测试验证用户面Ping包时延均有明显下降。

A hybrid discrete particle swarm optimization-genetic algorithm for multi-task scheduling problem in service oriented manufacturing systems

To cope with the task scheduling problem under multi-task and transportation consideration in large-scale service oriented manufacturing systems(SOMS), a service allocation optimization mathematical model was established, and then a hybrid discrete particle swarm optimization-genetic algorithm(HDPSOGA) was proposed. In SOMS, each resource involved in the whole life cycle of a product, whether it is provided by a piece of software or a hardware device, is encapsulated into a service. So, the transportation during production of a task should be taken into account because the hard-services selected are possibly provided by various providers in different areas. In the service allocation optimization mathematical model, multi-task and transportation were considered simultaneously. In the proposed HDPSOGA algorithm, integer coding method was applied to establish the mapping between the particle location matrix and the service allocation scheme. The position updating process was performed according to the cognition part, the social part, and the previous velocity and position while introducing the crossover and mutation idea of genetic algorithm to fit the discrete space. Finally, related simulation experiments were carried out to compare with other two previous algorithms. The results indicate the effectiveness and efficiency of the proposed hybrid algorithm.

Multi-objective modeling and optimization for scheduling of cracking furnace systems

Cracking furnace is the core device for ethylene production. In practice, multiple ethylene furnaces are usually run in parallel. The scheduling of the entire cracking furnace system has great significance when multiple feeds are simultaneously processed in multiple cracking furnaces with the changing of operating cost and yield of product. In this paper, given the requirements of both profit and energy saving in actual production process, a multi-objective optimization model contains two objectives, maximizing the average benefits and minimizing the average coking amount was proposed. The model can be abstracted as a multi-objective mixed integer non- linear programming problem. Considering the mixed integer decision variables of this multi-objective problem, an improved hybrid encoding non-dominated sorting genetic algorithm with mixed discrete variables （MDNSGA-II） is used to solve the Pareto optimal front of this model, the algorithm adopted crossover and muta- tion strategy with multi-operators, which overcomes the deficiency that normal genetic algorithm cannot handle the optimization problem with mixed variables. Finally, using an ethylene plant with multiple cracking furnaces as an example to illustrate the effectiveness of the scheduling results by comparing the optimization results of multi-objective and single objective model.

Temporal consistency maintenance on multiprocessor platforms with instance skipping

Maintaining temporal consistency of real-time data is important for cyber-physical systems.Most of the previous studies focus on uniprocessor systems.In this paper,the problem of temporal consistency maintenance on multiprocessor platforms with instance skipping was formulated based on the(m,k)-constrained model.A partitioned scheduling method SC-AD was proposed to solve the problem.SC-AD uses a derived sufficient schedulability condition to calculate the initial value of m for each sensor transaction.It then partitions the transactions among the processors in a balanced way.To further reduce the average relative invalid time of real-time data,SC-AD judiciously increases the values of m for transactions assigned to each processor.Experiment results show that SC-AD outperforms the baseline methods in terms of the average relative invalid time and the average valid ratio under different system workloads.

Bus coordination holding control for transit hubs under APTS

To increase the passenger transferring efficiency, the bus coordination holding control for transit hubs, which is as an important dynamic dispatching method for improving the service level of transit hubs, was studied in the framework of bus coordination dispatching mode. Firstly, the bus coordination holding control flow was studied based on Advanced Public Transportation Systems (APTS) environment. Then a control model was presented to optimize the bus vehicle holding time, and a genetic algorithm was designed as the solving method. In the end, an example was given to illustrate the effectiveness of the control strategy and the algorithm.

Wind Generation Modeling for Transmission Systems Adequacy Studies with Economic Dispatch

In this paper, a strategy is proposed in order to introduce in a realistic way wind generation into a HL11 （bulk power system） non sequential Monte Carlo adequacy study with economic dispatch. Thanks to the implemented solution, wind generation is consequently confronted to operational constraints related to high powered thermal units, nuclear parks or thermal machines with technical minimum value. Moreover, during each simulated system state, a DC load flow is also calculated in order to evaluate reinforcements optimizing the large scale integration of wind power production. The simulation tool modified during the present work is called Scanner and is the property of Tractebel Engineering （Gaz de France-Suez） company. It has been here applied to an academic test system： the Roy Billinton Test System （RBTS）.

Hole effective mass in strained Si (111)

The directional, averaged, and density-of-states effective masses of holes have been calculated for strained Si/(111)Si1-xGex. The results for the directional effective mass show that the effect of strain makes the constant energy surface of "heavy" holes more obvious warping than that in relaxed Si. The [111] and [110] directional effective masses of "heavy" holes decrease significantly under strain. It is found that the averaged effective mass of "heavy" holes decreases with increasing Ge fraction, while that of "light" holes increases. The traditional concepts of heavy and light holes become insignificant when Ge fraction is close to 0.4. The strain effect monotonically reduces the density-of-states effective mass at 218, 300 and 393 K, respectively.