Time-series Modelling of IEC 61850 GOOSE Communication Traffic between IEDs in smart grids - a parametric analysis

Nowadays power grids are intelligent since their protection, supervision and control are held by a communication network through which different Intelligent Electronic Devices (IEDs) are interoperating. To design and maintain an efficient Substation Communication Network (SCN) with high transmission quality, developing a unitary mathematical model of the SCN data traffic as underlying paradigm of any control design approach is an important issue. In this paper, a stochastic representation of data traffic is derived, and a parametric analysis over the communication channel characteristics is presented. The identification method is illustrated on an electrical distribution grid containing two renewable sources which are exchanging information by means of IEC 61850 GOOSE (Generic Object-Oriented Substation Event) communication protocol in the context of a simple distributed reactive power control. The co-simulation and code process of both electrical and communication configurations are performed in MATLAB®/Simulink® environment.