基于重尾分布模型的智能电网通信系统业务流建模及其性能分析  

Smart Grid Communication Service Flow Modeling and Performance Analysis Based on Heavy-tailed Distribution Model

作　　者：谢连芳 XIE Lianfang(Mianyang Power Supply Company of State Grid Sichuan Electric Power Co.,Ltd.,Mianyang 621000,China)

机构地区：[1]国网四川省电力公司绵阳供电公司,四川绵阳621000

出　　处：《微型电脑应用》2023年第9期222-225,共4页Microcomputer Applications

摘　　要：在传统电网业务流量建模主要利用泊松分布和马尔科夫自回归模型,其具有网络应用单一和数据传输量较小的缺点。当现代电网业务不断复杂化,这种建模方法已无法很好地体现智能电网业务流量的本质特征,因而研究了智能电网通信系统业务流建模及对其做了性能分析。给出一种综合业务行为的流建模及仿真方法,其中突发业务流的相关特性利用了重尾分布进行建模,而随机业务利用了泊松分布建模。通过建立仿真,仿真结果表明了该方法能很好地反映了站级网络的业务行为并具备一定的灵活性。In traditional modeling of power grid business flow,it mainly uses Poisson distribution and Markovian autoregressive model.However,it has the shortcomings of a single network application and a small amount of data transmission.As modern power grid business becomes more and more complex,this modeling method can no longer well reflect the essential characteristics of smart grid business flows.This paper studies the obligation flow modeling and performance analysis of the smart grid communication system.A flow modeling and simulation method for comprehensive business behavior is given.The related characteristics of burst business flow are modeled by heavy-tailed distribution,while random business is modeled by Poisson distribution.Through the simulation,the results show that the method proposed in this paper can well reflect the business behavior of the station-level network and possess a certain degree of flexibility.Therefore,the method provides a theoretical reference for network protocol design and network planning and management.

关 键 词：智能电网 通信系统 业务流 重尾分布 泊松分布 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]