Integration and Information Exchange of Heterogeneous Sources Using Directory Service and Graph Based Approach

Abstract

The successful performance of power system deregulation and smart grid-enabled power systems heavily relies on robust information flow models. The Common Information Model (CIM) has emerged as a key enabler for seamless communication between power system organizations, operators, consumers, and controllers. To address the challenges posed by complex systems, a directory service featuring a specialized database with an access protocol has been proposed. This paper explores the deployment and integration of the directory service into smart grid technology, along with a comprehensive analysis of its performance. Additionally, the study investigates link prediction tasks on graph structures using Graph Neural Networks (GNNs) for enhanced power system studies and grid management. newline