The course includes basic models for different types of power plants and how these models can be applied in different types of optimisation problems (for example linear programming, stochastic programming and dynamic programming). Theory and examples are presented in lectures. The students may then apply the theory on simplified (but realistic) examples.
EG2240 Power System Planning 6.0 credits
The course covers planning models for electricity producers and other players in the electricity market. The participants ·will learn to formulate planning problems and to use appropriate software for solving the problems and analyzing the results.
Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Spring 2025 Start 14 Jan 2025 programme students
- Course location
KTH Campus
- Duration
- 14 Jan 2025 - 2 Jun 2025
- Periods
- P3 (3.0 hp), P4 (3.0 hp)
- Pace of study
17%
- Application code
60304
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
Open for all master programmes as long as it can be included in your programme.
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
Contact
Mikael Amelin (amelin@kth.se)
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus EG2240 (Autumn 2022–)Headings with content from the Course syllabus EG2240 (Autumn 2022–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After passing the course, the student should be able to
- formulate, solve and analyse the results of short- and long-term planning problems for electricity producers and other players in power systems with large part continuously varying electricity generation (for example wind power),
- give a short oral presentation (both individually and in groups) of the solution to a power system planning problem,
in order to learn to formulate, solve and analyse power system planning problems.
Literature and preparations
Specific prerequisites
Knowledge in numerical methods, 6 higher education credits, equivalent to completed course SF1519/SF1545/SF1546/SF1547.
Knowledge in probability theory, 6 higher education credits, equivalent to completed course SF1917/SF1918/SF1920.
Recommended prerequisites
No information inserted
Equipment
No information inserted
Literature
No information inserted
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- PRO1 - Project assignments, 3.0 credits, grading scale: A, B, C, D, E, FX, F
- PRO2 - Project assignments, - credits, grading scale: A, B, C, D, E, FX, F
- SEM1 - Seminars, 3.0 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Pass grade on the modules SEM1 and PRO1 are required for the final grade E. The module PRO2 is optional project assignments. The final grade in the course is the highest grade of PRO1 and PRO2.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Electrical Engineering
Education cycle
Second cycle
Add-on studies
No information inserted
Contact
Mikael Amelin (amelin@kth.se)
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex