EH3240 Information Modeling with Application to Power Systems 6.0 credits
Informationsmodellering med tillämpning på elkraftsystem
Due to deregulation, merging of previously isolated markets and unbundling of incumbent electric utilities, a majority of the operational control challenges in modern power systems require extensive exchange of data between market participants. To enable interoperability, the exchange is done according to standardised formats which in turn are based on information models that represent dynamic and static information about the power system. The formats are to some extent standardised by organsiations such as the IEC, NIST and the IEEE, but many open issues remain on how to develop semantically correct information models of parts or complete power systems.
Education cycleThird cycle
Main field of study
Grading scaleP, F
Spring 19 P4 (6.0 credits)
Language of instruction
Form of study
Number of places
Lars Nordström <email@example.com>
Intended learning outcomes
After completing the course, the participants should be able to:
· Describe and apply fundamental information modeling concepts, and relate these to industry standard languages, such as UML.
· Apply tools, such as Protege, for creation of system ontologies, and using these to capture semantically valid models
· Apply tools for serialisation of information models to enable data exchange.
· Perform modeling of typical power system topologies for static model exchange.
Identify topics within power system control requiring information exchange beyond what is currently developed.
Course main content
The course consists of a series of seminars at which selected parts of the literature are presented and discussed. In addition, the course consists of a modeling assignment, a information exchange assignment finally the development of a research plan. Completion of all fours parts of the course are mandatory for passing the course.
The course consists of 6 seminars, covering:
1. Basics of information modeling, UML class diagrams
2. XML, RDF and OWL
3. Semantic modeling and ontologies
4. Power System topology modling using the CIM
5. CIM Profiles for planned and partial model exchange
6. CIM-XML serialisations for information exchange.
As preparation, participants will be asked to read relevant parts of the course literature and prepare short summaries to be presented at the seminars.
The modeling assignment consists of two parts, first, developing models of a small fictitious power system in UML using the Enterprise Architecture Sparx infomration modeling tool. Second, development of a semantically richer OWL model of the same system. The assignment is passed by presenting both models, and writing a short summary about the differences between the two modeling approaches.
Information Exchange Assignment
The information exchange assignment involves using the information model created previously and importing it into the InterPSS power system simulator, performing a power flow analysis and from the solved power system state create CIM profiles, for export.
Based on additional reading of research papers handed out during the course, the participants are expected to identify areas still requiring formalisation and standardisation to enable full interoperability.
Admitted to PhD program at KTH.
The following literature is mandatory reading, and in addition a list of research papers will be added as additional reading for preparation of Research plan assignment.
1. An Introduction to IEC 61970-301 & 61968-11: The Common Information Model, Alan McMorran, University of Strathclyde, January 2007.
2. The Common Information Model CIM IEC 61968/61970 and 62325 - A practical introduction to the CIM, Mathias Uslar, Michael Specht, Sebastian Rohjans, Jörn Trefke, Jose Manuel Vasquez Gonzalez ,ISBN: 978-3-642-25214-3, Springer, 2013.
3. IntelliGrid Common Information Model Primer, 2nd edition, EPRI report # 3002001040, 2013.
- EXA1 - Examination, 6.0, grading scale: P, F
Requirements for final grade
Complete all four course components with a passing grade.
EECS/Electric Power and Energy Systems
Lars Nordström <firstname.lastname@example.org>
Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.