Course - Power System Analysis 2 - TET4205
Power System Analysis 2
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About the course
Course content
The course deals with exploring the ways and means to perform advanced power system analysis in normal operation and under symmetrical and unsymmetrical faults. Models of generators, transformers and transmission lines essential for such analyses are assembled. Additionally, principles for the formulation, solution, and application of optimal power flow are established. Computer-aided analysis of the performance of large-scale power systems is one of the central learning objectives.
Learning outcome
Knowledge: After completing this course, the student will be able to comprehend, analyse, assess and apply, as applicable, the following: - advanced methods for power system analysis in steady state operation - principles of modelling and analysis of power systems subject to symmetrical and unsymmetrical faults - the mathematical description and use of symmetrical component theory - modelling of generators, transformers, lines and cables in the positive, negative and zero sequence systems - the significance of different earthing/grounding methods - the principles and application of advanced power flow and optimal power flow methods.
Skills: After completing this course the student will be able to: - conduct the analysis of large-scale power systems using advanced methods and algorithms - model generators, transformers, lines and cables in the positive, negative and zero sequence systems as basis for the analysis of symmetrical and unsymmetrical faults - perform analysis of power systems subjected to symmetrical and unsymmetrical faults - define, establish and solve equations for regular (AC) power flow, DC power flow, and optimal power flow - use simulation tools to perform comprehensive short circuit studies, load flow studies, and optimal power flow studies - use instruments and equipment in the laboratory - think independently and critically - supplement their learning through appropriate literature study - reflect upon results from assignments - demonstrate integrity and accountability in their learning.
General competence: After completing the course, the candidate shall have had increased: - skills in cooperation and interdisciplinary collaboration - ability to communicate effectively to peers, professionals and non-specialists alike through discussions, reports and presentations - ability to give constructive feedback to peers - ability to deal with uncertainty in problem descriptions - ability to take into account sustainability perspectives - ability to contribute to innovation and innovation processes.
Learning methods and activities
The course will be pre-dominantly based on group activities.
Pre-recorded lectures, live lectures, guided problem-solving, problem-solving in groups, and project work (with presentation) are the various types of learning activities for the course. The course is given in English. Assignment/Project tasks will also be based on the usage of ready-made simulation tools and self-created software tools using Matlab/Python/C/C++.
Further on evaluation
Grade-based evaluation of individual components of assessment is the basis for the final grade awarded in the course: a written final examination (50%), and project report (with presentation) (50%).
All students in a project group normally receive the same grade based on the submitted common project report and the presentation. In cases where a student has not contributed sufficiently (documented lack of effort and/or individual contributions), the student could be given an individual grade different from the common grade given to the rest of the group.
Both the written exam and project must be passed to receive a grade in the course. If you fail one of the parts, this must be re-taken to pass the course.
Permitted examination aids: support material code D. No printed or hand-written support material is allowed. A specific basic calculator is allowed. In addition, calculators Casio fx-991EX and Casio fx-991CW are allowed.
For the written exam there is a re-sit in August. If there is a re-sit examination, the examination form may change from written to oral. If you wish to re-take the project, this can be done the next time the course is given.
Recommended previous knowledge
Circuit Analysis, and Introductory Power Systems (e.g., TET4105/IELET2118), or equivalent. Additionally, programming skills, e.g., Matlab, Python, C/C++, are required.
Course materials
Text books and lecture material (in English). More information will provided at the start of the course.
Recommended Textbooks:
- Daniel S. Kirschen, "Power Systems: Fundamental Concepts and the Transition to Sustainability," John Wiley & Sons Ltd., 2024.
- John J. Grainger, William D. Stevenson, and Gary W. Chang, "Power System Analysis," McGraw Hill International Edition, 2016.
Additional References:
- Hadi Saadat, "Power System Analysis", PSA Publishing, 3rd edition, 2010.
- J. D. Glover, M. S. Sarma, and T. J. Overbye, "Power System Analysis and Design", Cengage Learning, 6th edition, 2016.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| TET4115 | 7.5 sp | Autumn 2022 |
Subject areas
- Electrical Power Engineering
- Technological subjects