Abstract
In Smart Grid, the integration of Information and Communications Technology (ICT) systems and power systems has enabled real-time services and distributed controls, while the fusion of technologies necessitates a profound and versatile platform for the interdisciplinary research and evaluation. This article introduces a Software Defined Smart Grid testbed architecture, which integrates real-world wireless communication systems and Artificial Intelligence algorithms to provide a re-configurable framework to meet different real-time Smart Grid testbed design requirements. Through prototyping and experiments, the architecture shows great potential in addressing co-evaluation challenges of ICT systems and power systems, as well as supporting real-time Smart Grid evaluations.
Highlights
The existing power grid is undergoing a fundamental transformation to the Smart Grid, which raises many challenges such as the penetration of renewable resources and the integration of smart devices
WORKS In this article, a Software Defined Smart Grid (SDSG) testbed framework consisting of the Real-Time Digital Simulator (RTDS), Software Defined Radio (SDR) and Artificial intelligence (AI)-enhanced computing platform is proposed
Realworld experiments on AI-enhanced voltage stability controls demonstrate that the proposed SDSG architecture is capable to integrate the components from both Information and Communications Technology (ICT) systems and power systems to support real-time Smart Grid applications
Summary
Artificial Intelligence Enhanced Real-Time Co-Evaluation of ICT Systems and Power Systems. MINGLEI YOU 1, (Student Member, IEEE), XINRUO ZHANG 2, (Member, IEEE), GAN ZHENG 3, (Senior Member, IEEE), JING JIANG4, (Member, IEEE), AND HONGJIAN SUN 1, (Senior Member, IEEE)
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