Faculty of Technical Sciences

Subject: Data Modeling in Smart Grid (17.ESI074)

Native organizations units: No data
General information:
 
Category Theoretical-methodological
Scientific or art field Primenjeno softversko inženjerstvo
Interdisciplinary No
ECTS 6
Educational goal:

The aim of the course is to provide an overview of data modeling concepts applied in smart grids. Languages used to formally define ontologies will be studied, e.g. RDF, RDFS, OWL, OWL2. The Common Information Model CIM defined in IEC 61970 and IEC 61968, including model extensions will be used as a modeling example.

Educational outcome:

Students will get theoretical and practical hands on experience in modeling of smart grid. They will understand differences between ontology languages in expressiveness and computational complexity of reasoning, as well as their applicability in smart grid modeling.

Course content:

UML and UML profiles. Platform dependent and platform independent architectures. Necessity of semantic connection between heterogeneous data sources. RDF, RDFS, OWL i OWL2. CIM/XML based model. Modeling of network connectivity and network topology in CIM. Smart grid enterprise model in compliance with IEC 61968 and IEC 61970 standards. CIM extensibility. Full and difference models. SPARQL queries. The use in smart grid software model. Algorithms overview and data model in smart grids. Numeric calculations in smart grids.

Teaching methods:

Lectures; Computer Practice; Consultations. Throughout the computer practice student is required to complete practically oriented tasks.

Literature:
Authors Title Year Publisher Language
Chachra, V., Ghare, P.M, Moore, J.M. Applications of Graph Theory Algorithms 1979 North Holland, New York English
Olivier Curé, Guillaume Blin RDF database systems : triples storage and SPARQL query processing 2015 Morgan Kaufmann English
Beineke, L., Wilson, R. Selected topics in graph Theory 3 1988 Academic Press limited, London English
Milan Gavrić Modeli podataka u pametnim mrežama – skripta u pripremi 2019 Serbian language
Pascal Hitzler, Sebastian Rudolph, Markus Krötzsch Foundations of Semantic Web technologies 2010 Chapman & Hall/CRC English
EPRI Common Information Model Primer: Third Edition. EPRI, Palo Alto, CA: 2015. 3002006001. 2015 EPRI English
James A. Momoh Smart Grid: Fundamentals of Design and Analysis 2012 Wiley-IEEE Press English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 30.00
Computer exercise attendance Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Theoretical part of the exam No Yes 30.00
Oral part of the exam No Yes 30.00
Lecturers:

doc. dr Gavrić Milan

Assistant Professor

Computational classes

doc. dr Gavrić Milan

Assistant Professor

Lectures

Saradnik u nastavi Petrić Jelena

Teaching Associate

Computational classes
API Image

Asistent Tomić Miroslav

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.