Modeling of IEC 61850 GOOSE Substation Communication Traffic Using ARMA Model

Abstract

Since smart grids raised much attention nowadays considering that there exist strong interactions between Information and Communication Technology (ICT) and electric power systems, it is paramount important to model the communication traffic behavior mathematically to be able to assess the cyber-physical interconnection quality, as their interrelated parameters may affect both electrical and communication systems. In this paper we propose a data-driven-based stochastic model of the IEC 61850 Generic Object Oriented Substation Events (GOOSE, a widely used protocol in smart grids) traffic over a real-time traffic generator. The network traffic is well estimated by the Auto Regressive Moving Average (ARMA) model using Box-Jenkins method. Signal processing and identification are performed in MATLAB®/Simulink® and the model is validated using an intelligent substation test bench. In further works, this model will be used for analysis and control of smart grids as cyber-physical systems.