Application of Smart Grid Communication Service Flow Modeling Based on Poisson Model in Grid Operation

Abstract

The early Poisson distribution and Markov autoregressive models can no longer reflect the characteristics of smart grid business flow. The long correlation characteristics of burst flow are simulated by the heavy tail ON/OFF model with multi-source convergence, while the Poisson model with short correlation and no memory is used for random flow. The simulation results show that the synthesized flow is still has a certain statistical self-similarity, and the coefficient H decreases after synthesis.That the long correlation and burst of self-similar business flows will not be smoothed by the convergence and synthesis of the self-similar business flows with short correlation services. In the actual operation process, the station-level power grid will result in load aggravation and significantly affect the network performance when it acts in response to faults. Therefore, it is necessary to consider the changes of network performance under different burst degrees.