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
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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
Periods
P3 (3.0 hp), P4 (3.0 hp)Duration
Pace of study
17%
Form of study
Normal Daytime
Language of instruction
English
Course location
KTH Campus
Number of places
Places are not limited
Planned modular schedule
Course memo
Course memo is not publishedSchedule
Schedule is not publishedApplication
For course offering
Spring 2025 Start 14 Jan 2025 programme students
Application code
60304
Contact
For course offering
Spring 2025 Start 14 Jan 2025 programme students
Contact
Mikael Amelin (amelin@kth.se)
Examiner
No information insertedCourse coordinator
No information insertedTeachers
No information insertedContent 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
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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
Opportunity to raise an approved grade via renewed examination
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
Offered by
Main field of study
Education cycle
Add-on studies
Contact
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex