Skip to main content
Till KTH:s startsida Till KTH:s startsida

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.

About course offering

For course offering

Spring 2025 Start 14 Jan 2025 programme students

Target group

Open for all master programmes as long as it can be included in your programme.

Part of programme

Degree Programme in Industrial Engineering and Management, åk 3, EHUI, Mandatory

Master's Programme, Electric Power Engineering, åk 1, Conditionally Elective

Master's Programme, Energy Innovation, åk 1, RENE, Recommended

Master's Programme, Energy Innovation, åk 1, SENS, Conditionally Elective


P3 (3.0 hp), P4 (3.0 hp)


14 Jan 2025
2 Jun 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Spring 2025 Start 14 Jan 2025 programme students

Application code



For course offering

Spring 2025 Start 14 Jan 2025 programme students


Mikael Amelin (


No information inserted

Course coordinator

No information inserted


No information inserted
Headings with content from the Course syllabus EG2240 (Autumn 2022–) 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 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


No information inserted


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


  • 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


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


Mikael Amelin (

Supplementary information

In this course, the EECS code of honor applies, see: