A 5G Enabled Adaptive Computing Workflow for Greener Power Grid

TL;DR

This paper presents a 5G-enabled adaptive computing workflow that integrates various computing resources to enhance real-time power grid monitoring, security, and forecasting, promoting greener and more reliable energy systems.

Contribution

It introduces a novel adaptive workflow leveraging 5G, edge, cloud, and GPU computing for power grid management, demonstrating technical feasibility and improved flexibility.

Findings

Successful demonstration of edge-grid-cloud interaction for power system monitoring.

Enhanced data transport speed and connection capacity with 5G.

Potential for more flexible and powerful power grid applications.

Abstract

5G wireless technology can deliver higher data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to users. It brings additional power to help address the challenges brought by renewable integration and decarbonization. In this paper, a 5G enabled adaptive computing workflow has been presented that consists of various computing resources, such as 5G equipment, edge computing, cluster, Graphics processing unit (GPU) and cloud computing, with two examples showing technical feasibility for edge-grid-cloud interaction for power system real-time monitoring, security assessment, and forecasting. Benefiting from the high speed data transport and massive connection capability of 5G, the workflow shows its potential to seamlessly integrate various applications at distributed and/or centralized locations to build more complex and powerful functions, with better flexibility.