基于改进时序算法的电力系统可靠性评估方法研究

时序算法是对蒙特卡洛法的优化,适用于电力系统可靠性评估。但是,当系统中参数波动频繁、状态量基数很大时,时序算法会在状态量的抽取与评估判断上耗费较多时间,从而降低了运算效率。为此,从状态量获取与处理的角度通过离散化与标准化对时序算法进一步优化,以提高算法效率、增加算法精度,进而为解决电力系统可靠性评估实时性问题提供方法。在IEEE-RTS79系统中将改进时序算法、时序算法和蒙特卡罗法进行对比,结果表明:优化后的算法能够在增加算法精度的同时,提高计算效率30倍左右。

基于IEA-ARIMA模型的微博信息传播效率研究

构建一种基于改进欧拉算法的时序模型(IEA-ARIMA),从复杂网络理论和路径两方面选取多个指标,对网络静态拓扑结构进行分析,探索不同网络结构下的微博信息传播效率。得出在球型网络、随机网络和微博网络三种不同结构中,球型网络是最优的传播环境,可显著提升微博信息的传播效率。文中深入探讨网络拓扑结构对信息传播效率的影响,并提供新的预测方法,对提高微博信息的传播效率具有重要意义。

Multiple Reader Algorithm for Sports Timing Systems and Its Application at Low Frequency Bandwidth

In sports timing systems,P2P communication is used at low frequency bandwidths(under 135 KHz) between tags and readers in the RFID field.However,in such cases,collisions tend to occur when a reader deals with multiple RFID tags simultaneously.To overcome this issue,a sports timing system including a Multi Reader Controller(MRC)loaded with an advanced multiple reader algorithm and application was created and applied at large-scale citizens' marathon events.In these cases,a large number of people pass over the installed urethane type's antenna mat continually during a short period of time.This study verified the superiority of the improved algorithm and application through the on-thespot application of the multi reader algorithm and application program,which allows us to smoothly measure runners' times through multiaccess reading for rapid collision avoidance.