Control coordination in inverter‐based microgrids using AoI‐based 5G schedulers

Author:

Choudhury Biplav1,Mohammadhassani Ardavan1ORCID,Alexander Brady1,Iyer Rahul1,Mehrizi‐Sani Ali1ORCID,Reed Jeffrey H.1,Shah Vijay K.2

Affiliation:

1. Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg Virginia USA

2. Cybersecurity Engineering Department George Mason University Fairfax Virginia USA

Abstract

AbstractA coordinated set point automatic adjustment with correction enabled (C‐SPAACE) framework that uses 5G communication for real‐time control coordination between inverter‐based resources (IBR) in microgrids is proposed. Utilising slicing capability, 5G offers low‐latency communication to C‐SPAACE under normal conditions. However, given the multitude of power grid use cases, a certain 5G slice for C‐SPAACE may have access only to limited radio spectrum resources, which if not managed well, greatly undermines the communication needs of C‐SPAACE framework. Thus, optimally scheduling the available spectrum resources among IBRs in a sliced 5G network‐based C‐SPAACE framework becomes a critical problem. To address this issue, the authors utilise a novel age of information (AoI) metric and designs an AoI‐based 5G scheduler to provide low‐latency communication to C‐SPAACE. Following this, a co‐simulation environment is designed using PSCAD/EMTDC and Python to simulate a microgrid supported by 5G communication. Time‐domain simulation case studies are performed using the proposed co‐simulation environment to evaluate the performance of C‐SPAACE using 5G with both AoI‐based and other baseline (non‐AoI) schedulers.

Funder

U.S. Department of Energy

Office of Naval Research

National Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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