Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid
Challenge and objective
The high dependence of power systems on Information and Communication Technologies establish new interdependencies and sources of failures that need to be properly analysed.
A new modelling approach is proposed for analysing the impact of communication failures in a smart grid monitoring scenario, with a specific focus on 5G implementation.
Work performed
A stochastic activity network model of the power Cyber Physical System was implemented.
Dependability metrics are analysed through a case study, with different state estimation approaches, rain regions and repair strategies.
Significant results
Analyses show that the radio channel is the major source of estimation error.
Factors such as fading and rain conditions, may affect the accuracy of state estimation significantly.
Impact for distribution system innovation
Modelling and simulation of interdependencies between ICT and power system are fundamental in smart grid design.
The close to ideal behaviour of 5G-URLLC enforces the prospect of future adoption for smart grid monitoring.
