电力系统自动化2016，Vol.40Issue(7)：107-112,127,7.DOI:10.7500/AEPS20150731002
基于特征匹配的配电通信流量模型
A Feature Matching Based Traffic Model of Power Distribution Communication Network
摘要
Abstract
Self-similarity and multi-fractal have attracted much attention in the network traffic modeling field.And besides these two characteristics,traffic in the power distribution communication network also shows a kind of significant deterministic behavior.An efficient traffic model should be able to capture the most important features of network traffic flows.And for this reason,an analytical study of the traffic in power distribution communication network is presented and a new feature matching model proposed.This model divides the traffic into deterministic and chaotic flows based on a maximum entropy spectrum analysis.And for chaotic flow,according to its time scale behaviors,the L-system model of small time scale is applied in the fractal Gaussian noise (FGN) model of large time scale.It is shown by simulation results that the proposed model can not only capture the distribution probability faithfully but also depict the self-similarity and multi-fractal characteristics of the traffic.关键词
配电通信/特征匹配/确定性/自相似/多重分形Key words
power distribution communication/feature matching/deterministic/self-similarity/multi-fractal引用本文复制引用
唐良瑞,杜施默,季石宇..基于特征匹配的配电通信流量模型[J].电力系统自动化,2016,40(7):107-112,127,7.基金项目
国家高技术研究发展计划(863计划)资助项目(2014AA01A701 ) （863计划）
北京市自然科学基金资助项目(4142049) （4142049）
国家自然科学基金资助项目(51507063) （51507063）
中央高校基本科研业务费专项资金资助项目(2015XS07). This work is supported by National High Technology Research and Development Program of China (863 Program) (No.2014AA01A701),Beijing Natural Science Foundation (No.4142049),National Natural Science Foundation of China (No.51507063),and Fundamental Research Funds for the Central Universities(No.2015XS07). （2015XS07）
