Data Modeling in Smart Grid | Faculty of Technical Sciences

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

Type of studies	Title
Undergraduate Academic Studies	Power Software Engineering (Year: 4, Semester: Winter)

General information:

Category	Theoretical-methodological
Scientific or art field	Primenjeno softversko inženjerstvo
ECTS	6

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.

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.

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.

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

Authors	Title	Year	Publisher	Language
EPRI	Common Information Model Primer: Third Edition. EPRI, Palo Alto, CA: 2015. 3002006001.	2015	EPRI	English
Pascal Hitzler, Sebastian Rudolph, Markus Krötzsch	Foundations of Semantic Web technologies	2010	Chapman & Hall/CRC	English
Olivier Curé, Guillaume Blin	RDF database systems : triples storage and SPARQL query processing	2015	Morgan Kaufmann	English
James A. Momoh	Smart Grid: Fundamentals of Design and Analysis	2012	Wiley-IEEE Press	English
Beineke, L., Wilson, R.	Selected topics in graph Theory 3	1988	Academic Press limited, London	English
Chachra, V., Ghare, P.M, Moore, J.M.	Applications of Graph Theory Algorithms	1979	North Holland, New York	English

Course activity	Pre-examination	Obligations	Number of points
Project	Yes	Yes	30.00
Lecture attendance	Yes	Yes	5.00
Theoretical part of the exam	No	Yes	30.00
Computer exercise attendance	Yes	Yes	5.00
Oral part of the exam	No	Yes	30.00