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Before choosing courseFEG3221 System Planning, Graduate Course 10.0 creditsAdministrate About course

The subject of this course is methods and models used for planning, operation and analysis of power systems and electricity markets. The course mixes computational techniques, for example applied optimisation and reliability analysis, with background information about design of electricity markets and real-life examples.

Course offering missing for current semester as well as for previous and coming semesters
* Retrieved from Course syllabus FEG3221 (Autumn 2011–)

Content and learning outcomes

Course contents

Structure of electricity markets, electricity pricing, frequency control, linear programming, short-term planning of hydro-thermal systems, simulation of electricity markets, probabilistic production cost simulation, Monte Carlo-simulation.

Intended learning outcomes

After the course, the student should be able to

  • describe the principles of how an electricity market can be organised,
  • perform rough estimations of electricity prices,
  • identify factors that have a large importance for the electricity pricing, and to indicate how these factors affect for example producers and consumers,
  • explain how the balance between production and consumption is maintained in an electric power system, and calculate how the frequency is affected by various events in the power system,
  • determine if the frequency control of an electric power system has sufficient margins, and if necessary be able to choose between various measures to increase the margins,
  • formulate short-term planning problems of hydro-thermal power systems,
  • create specialised models for short-term planning problems,
  • apply both probabilistic production cost simulation and Monte Carlo simulation to calculate expected operation cost and risk of power deficit in an electricity market,
  • create specialised models both for probabilistic production cost simulation and Monte Carlo simulation, and to use the results of an electricity market simulation to judge the consequences of various actions in the electricity market,
  • reflect on different methods and models for operation and planning of power systems and electricity markets.

Course Disposition

Lectures, home assignments, 5 h exam, project assignments.

Literature and preparations

Specific prerequisites

The course is intended for Ph.D. students in electric power systems, but can also be interesting for students from other fields of electrical engineering.

Recommended prerequisites

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L. Söder & M. Amelin, “Efficient Operation and Planning of Power Systems”.

Examination and completion

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

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.

    The project assignments are chosen by students in agreement with their supervisors and the examiner of the course.

    Other requirements for final grade

    • Approved home assignments.
    • Passed the exam.
    • Approved project assignments.

    Opportunity to complete the requirements via supplementary examination

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    Opportunity to raise an approved grade via renewed examination

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    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 web

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    Offered by

    EECS/Electric Power and Energy Systems

    Main field of study

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    Education cycle

    Third cycle

    Add-on studies

    No information inserted


    Mikael Amelin

    Postgraduate course

    Postgraduate courses at EECS/Electric Power and Energy Systems