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A model-based approach for converting CGMES power system models into operational networks

Authors :
Ammar Memari
Adam Aljamous
Source :
Energy Informatics, Vol 6, Iss S1, Pp 1-20 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

Abstract This paper presents a model-based approach for converting Common Grid Model Exchange Specification (CGMES) power system models into operational networks. The approach utilizes the Model-Driven Architecture (MDA), borrowed from software engineering, to create a Platform-Independent Model (PIM) saved in a graph database, neo4j. The PIM is then transformed into Platform-Specific Model (PSM) using cypher queries. Finally, from the PSM, a Pandapower network is generated that is used later for running power flow simulations. The Common Information Model (CIM) ontology classes, which form the metamodel behind CGMES, are loaded into the same database, connecting them to the grid instances, allowing for automatic validation and inference. The proposed approach has been successfully applied to large-scale real-world grids that include renewable energy sources.

Details

Language :
English
ISSN :
25208942
Volume :
6
Issue :
S1
Database :
Directory of Open Access Journals
Journal :
Energy Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.1a3181fe73784beb9f15aed98c68ecbe
Document Type :
article
Full Text :
https://doi.org/10.1186/s42162-023-00290-3