Course - Stability in power grids, modelling and analysis - IELET3230
Stability in power grids, modelling and analysis
New from the academic year 2026/2027
About
About the course
Course content
Modelling of a power system to simulate how it perform in different operation conditions and during faults/disturbances is important in order to assess the ability of the power system to operate securely, handle fault situations and changes in production and load. The course contains fundamental theory about stability in power systems. Different kinds of stability like voltage stability, transient stability, frequency stability and small signal stability are important themes in the course. The course contains modelling and methods to analyze the ability of power systems to sustain changes or disturbances. The course contains an introduction to modelling and simulation of power systems with digital tools in order to analyze power system stability.
Learning outcome
The student is to obtain:
Knowledge:
- Know about the different kinds of stability in a power system and how they influence the operation and planning of the power system
- Know how to model a power system in a simulation program
- Know how simulations can be utilized to assess stability of a power system
- Know about the need to consider stability in microgrids
Skills:
- Be able to explain how different kinds of stability may cause limitations for power system operation and/or changes of production and load in a power system
- Be able to explain how a state space model can be developed on a dynamic system
- Be able to explain how it is possible to analyze the voltage stabilty in a power system
- Be able to explain the equal area method for assessment of the transient stabilty of synchronous generators connected to the power grid
- Be able to apply calculations to analyze stability in a power system with respect to voltage, small disturbances and large disturbances
- Be able to model and simulate smaller power systems with digital tools in order to analyze the stabilty of these
- For a significant degree be able to evaluate AI-generated material about stability in power systems
General competence:
- The student has obtained knowledge and skills regarding important limitations for planning and operation of power systems
- The student has obtained knowledge and skills about using digital tools
- The student has obtained knowledge about the role and responsibility when working with a counting project or a counting assignment
Learning methods and activities
A large degree of self-study should be expected. The teaching in the course is primarily given from Campus Gjøvik and is made available as video recordings. One has to expect that other guidance will tbe limited and is only done after making appointment with the course coordinator/course teacher. Resources such as exercises with suggested solutions will be available on the learning platform.
Lectures, work with project/assignment, oral presentation, exercises.
Compulsory work requirements to get access to evaluation: Do an oral presentation with use of powerpoint (or similar) of a theme in stability in power grids or of an exercise. The presentation is delivered in the learning platform as a recorded video. The deadline for delivering the oral presentation will be given in the learning platform at the startup of the course.
Compulsory assignments
- Oral presentaion
Further on evaluation
The evaluation has two parts: Written school exam (70/100) and Project/Assignment work (30/100).
Re-sit for written school exam and project:
Re-sit is only done in parts of the evaluation where the candidate has failed.
- Re-sit exam: Re-sit during March. Written school exam might be changed to oral exam for the re-sit exam.
- Re-sit of the Project/Assignment: A new project task is given in the beginning of March and the project/assignment work must be delivered during March.
If the course is not passed after the resit exam the student might at later evaluations, retake those parts where the candidate has failed.
Specific conditions
Admission to a programme of study is required:
Electrification and Digitalisation - Engineering (BIELDIG)
Recommended previous knowledge
ELET1002 Electric circuits, modeling and analysis or similar
IELEG2118 Power Systems Analysis 1 or similar
IELET2120 Electrical Machines and Electromagnetic Energy Conversion or similar
Course materials
Compendium. Will be made available at the beginning of the course.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| IELEG3230 | 7.5 sp | Autumn 2026 |
Subject areas
- Electrical Power Engineering
- Electrical Power Engineering
- Physics