Work

Common Information Model-Oriented Ontology Database Framework for Improving Topology Processing Capability of Distribution Management Systems Considering Interoperability

Year: 2025

Type: article

Abstract: The operation targets of the distribution management system (DMS) have become increasingly diverse and complex. This complexity stems from the integration of distributed energy resources (DERs) to achieve carbon neutrality, alongside the introduction of new facilities such as electric vehicle charging stations and IoT sensors into the power distribution network. As the distribution system diversifies, there has been a growing need for interoperability to address these challenges effectively. Numerous DMS applications rely on topology processing (TP) for analyzing and managing power network structure, and the demand for nodes to process the connectivity has increased with the addition of new operational equipment. The speed of TP decreases as the number of nodes managed by a single DMS increases. Consequently, the operational reliability of TP-based DMS applications declines due to a decrease in the performance of TP. This paper proposes a new framework leveraging ontology databases (ODBs) to improve the performance of TP in DMS under an interoperability environment. The presented framework identifies shortcomings of traditional DMS utilizing relational databases (RDBs) and proposes a remedy by employing an ODB framework to achieve faster TP performance based on the common information model (CIM) for ensuring interoperability between components within the DMS. To validate the efficacy of the proposed method, various case studies were conducted on the DMS managing the headquarters level actual distribution network of the Republic of Korea to compare the TP performance in the case of an RDB and an ODB applied to the DMS. Results of case studies demonstrate that the proposed CIM-oriented ODB framework for the DMS guarantees much faster TP speed than the one with an RDB.

Source: Applied Sciences

DOI: 10.3390/app15084105

Authors: Jihui Hwang, Gyeong-Hun Kim, Sang-A Seo, Jin-Uk Song, Seong-Il Lim, Yun-Sik Oh

Institutions: Korea Electrotechnology Research Institute, Kyungnam University

Language: English

Topic: Power Systems and Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896