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EG2240 Power System Planning 6.0 credits

Administer About course

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.

Termin

Information for Spring 2026 Start 13 Jan 2026 programme students

Course location

KTH Campus

Duration
13 Jan 2026 - 1 Jun 2026
Periods

Spring 2026: P3 (3 hp), P4 (3 hp)

Pace of study

17%

Application code

60875

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

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

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 2025–)
Headings with content from the Course syllabus EG2240 (Autumn 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

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.

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 credits, equivalent to completed course SF1512/SF1545/SF1546/SF1547.

Knowledge in Probability Theory and Statistics, 6 credits, equivalent to completed course SF1917/SF1918/SF1920.

Active participation in a course offering where the final examination is not yet reported in LADOK is considered equivalent to completion of the course.

Being registered for a course counts as active participation.

The term 'final examination' encompasses both the regular examination and the first re-examination.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • SEM1 - Seminars, 3.0 credits, grading scale: P, F
  • PRO1 - Project assignments, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • PRO2 - Project assignments, 0 credits, grading scale: A, B, C, D, E, FX, 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.

If the course is discontinued, students may request to be examined during the following two academic years.

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.

Examiner

Profile picture Mikael Amelin

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

EECS/Electrical Engineering

Main field of study

Electrical Engineering

Education cycle

Second cycle

Supplementary information

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex