层次分析法中高阶平均随机一致性指标(RI)的计算

利用层次分析法分析和解决问题时,要对通过两两比较判断出的矩阵一致性进行检验犤1犦。高阶平均随机一致性指标的值一般无法直接通过查表而得,这一难点阻碍着层次分析法大面积的推广应用犤2犦。文章在深刻剖析层次分析法的基础上,给出根据平均随机一致性指标的定义计算高阶平均随机一致性指标值的算法,并且基于windows环境在delph6.0下予以程序实现。该算法已成功运用于中国科学院知识创新工程某智能决策系统中。     

智能低压配变监测与无功率补偿箱设计探索

针对现有的配变监测与无功补偿箱使用中存在的诸多问题,通过在结构上找原因,从性能上找差距的方式,进行了多层面的分析、对比和研究,提出了智能化、模块化的全新设计理念,科学地实现了低压配电监测与智能无功补偿装置的有机组织。     

用户QOS及系统指标指导的计算网格任务调度

针对网格环境中的动态性特点,特别是用户服务质量（QoS）需求的动态变化性,通过定义任务的效益函数来评估任务的多维QoS需求。同时为了兼顾任务完成时间、负载平衡等系统指标,引入系统效益的概念,给出负载平衡度的定义用来指导调度及评价调度性能。针对一组具有QoS需求的相互独立的计算任务提出一种用户QoS及系统指标指导的计算网格任务调度算法——UQSI。模拟实验结果显示,该算法能较好地满足用户的多维QoS需求,更加适合开放复杂的网格环境。     

基于随机森林回归的清防垢加药量预测方法

复合驱由于强碱化学剂的注入易造成严重的结垢现象,而预测清防垢加药量是制定科学的清防垢方案的关键.为了获得一种具有较强实用价值和较高预测精度的复合驱清防垢加药量的预测方法,该文将随机森林回归算法应用到复合驱清防垢加药量预测.首先,分析并处理影响清防垢加药量的20维特征,利用随机森林回归的特征重要性评估功能对影响加药量的众...     

基于GHS的任务调度算法改进

针对非专用网格性能预测调度系统（GHS）中元任务调度算法负载不平衡问题,提出一种启发式动态任务调度策略（H-MM）,结合Min-Min与Max-Min的优点,将H-MM植入GHS,结果表明H-MM在时间跨度与可扩展性方面较以往算法有较大提高。     

Comparison of conventional and soft computing-based power control methods in mobile communications systems

 In this paper, we give a comparison between the conventional power control scheme and soft computing-based approaches in a mobile communications application. At the base station, the `bang–bang' control strategy and a neural network-based prediction control method are employed. In addition, full power command transmission mode, single-bit command transmission mode, and fuzzy logic-based power command enhancement unit are considered. Based on simulation experiments, we quantitatively evaluate the performance of various combinations of these control methods and command transmission modes. Conclusions on the optimal configuration are finally drawn.     

基于Globus的网格信息归档服务

分析当前网格监控信息服务的不足,针对基于历史状态数据的应用需求,提出一种面向Globus的信息归档服务。在MDS聚合框架的基础上,设计2种状态信息获取方法,给出监控信息的数据存储结构。测试结果表明,该服务可以简化基于网格监控信息的系统开发。     

变压器绕组特性对局部放电检测的影响

提出了一种利用绕组两端测量结果对视在放电量进行修正的方法.     

A new analysis method for early detection and prevention of cascading events

This paper introduces a new analysis method for early detection and prevention of power system cascading events. It uses the vulnerability index (VI) and margin index (MI) to evaluate the vulnerability and security of the individual system parts, as well as the whole system during an operating state. It identifies the vulnerable parts of the power system using the topology processing and operation index methods. For a given disturbance, it calculates the power flow, evaluates the vulnerability and security, identifies the vulnerable part, finds the transmission line overload and bus voltage problems, and predicts the possible successive events. The approach defines the control means using the following methods for early detection and prevention of cascading events: network contribution factor (NCF), generator distribution factor (GDF), load distribution factor (LDF), and selected minimum load shedding (SMLS). This approach has been tested using the IEEE RTS-96 24-bus system and promising results have been obtained. The proposed approach allows the power system operator to detect initial stages of cascading events and assert actions that will prevent such events from unfolding.     

基于网络交换机安全措施的研究和实现

介绍了电力行业信息网络交换机的安全现状,详细阐述了加强硬件安全以及安全策略加固方法及注意事项。