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.
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Content and learning outcomes
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
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.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- 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
- 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 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.Course web EG2240
Main field of study
In this course, the EECS code of honor applies, see: