TET4115
Power System Analysis
Last taught 2022
Autumn
Trondheim
English
About this course
Content
The course deals with exploring the ways and means to perform 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 outcomes
Knowledge:
After completing this course, the student will be able to comprehend, analyse, assess and apply, as applicable, the following:
- 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 regular power flow and optimal power flow methods
Skills:
After completing this course the student will be able to:
- establish and use power system models based on nodal admittance and impedance matrices for the analysis of large-scale power networks
- 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 subject 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.
General competence:
After completing the course, the candidate has increased:
- skills in cooperation and interdisciplinary collaboration
- ability to communicate effectively to professionals and non-specialists alike through reports and presentations
- ability to contribute to innovation and innovation processes
Teaching methods
Lectures, exercises, laboratory work and project work. 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++.