Course contents *

The course covers five main topics: a basic description of electricity markets, electricity pricing, frequency control, short-term planning of power generation, as well as simulation of electricity markets. Theory and examples are presented in lectures. The students are then applying the theory to a number of assignments. The course includes smaller assignments, which are mandatory and presented orally, as well as larger assignments, which are voluntary and presented in written reports.

Intended learning outcomes *

The aim of the course is that the students learn methods and models for operation, planning and analysis of electric power generation. The course comprises background information about possible ways to design an electricity market, computation methods (for example applied optimisation theory and reliability analysis) as well as examples from reality.

 To pass the course, the students should show that they are able to

• describe the principles of how an electricity market can be organised,

• perform rough estimations of electricity prices as well as analyse 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, calculate how the frequency is affected by various events in the power system and design the frequency control so that there are sufficient margins in the power system,

• formulate short-term planning problems of hydro-thermal power systems,

• apply probabilistic production cost simulation to calculate the expected operation cost and risk of power deficit in an electricity market, and to use the results of an electricity market simulation to judge the consequences of various actions in the electricity market,

• give a short oral presentation of the solution to a problem within operation and planning of power generation.

Course Disposition

No information inserted

Specific prerequisites *

• SF1625 Calculus in one variable (or equivalent)

• MJ1520 Statistics and risk assessment or SF1901 Probability theory and statistics (or equivalent)

• English B/English 6 (or equivalent)

Recommended prerequisites

Optimisation theory (for example SF1811/SF1861 Optimization)

Equipment

No information inserted

Literature

No information inserted

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 *

• PROA - Project AB, - credits, Grading scale: A, B, C, D, E, FX, F
• PROC - Project CD, - credits, Grading scale: A, B, C, D, E, FX, F
• PROE - Project E, 3.0 credits, Grading scale: A, B, C, D, E, FX, F
• TEN1 - Exam, 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.

Other requirements for final grade *

The final grade requires Pass grades for the course components TEN1 and PROE.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

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.

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Offered by

EECS/Electrical Engineering

Main field of study *

Electrical Engineering

Education cycle *

Second cycle

Add-on studies

EG2210 Electricity Market Analysis, EG2220 Power Generation, Environment and Markets, EG2420 Monte Carlo simulation theory and project

Transitional regulations *

The students are examined in the same way as earlier. Students who have been registered on the earlier version of the course obtain the highest grade for the project tasks reported during the old course component PRO1.

Supplementary information

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