5G Mobile Cellular Networks: Enabling Distributed State Estimation for Smart Grids

TL;DR

This paper explores how 5G mobile networks, with edge computing and machine-type communications, can support distributed state estimation in smart grids for improved real-time monitoring and control.

Contribution

It demonstrates the potential of 5G infrastructure to enable advanced distributed state estimation methods in smart grids, integrating emerging solutions with 5G services.

Findings

5G supports mission-critical smart grid applications

Distributed estimation methods can be integrated into 5G networks

Enhanced real-time monitoring for smart grids

Abstract

With transition towards 5G, mobile cellular networks are evolving into a powerful platform for ubiquitous large-scale information acquisition, communication, storage and processing. 5G will provide suitable services for mission-critical and real-time applications such as the ones envisioned in future Smart Grids. In this work, we show how emerging 5G mobile cellular network, with its evolution of Machine-Type Communications and the concept of Mobile Edge Computing, provides an adequate environment for distributed monitoring and control tasks in Smart Grids. In particular, we present in detail how Smart Grids could benefit from advanced distributed State Estimation methods placed within 5G environment. We present an overview of emerging distributed State Estimation solutions, focusing on those based on distributed optimization and probabilistic graphical models, and investigate their integration as part of the future 5G Smart Grid services.