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EI2460 Batteries for Energy Storage in Electrical Systems 6.0 credits

Batteries in electrical systems provide new possibilities for balancing and operating the electrical system, and can be seen as a new component in the electrical system. This course aims to provide an understanding of these possibilities, as well as to provide knowledge about mathematical methods in order to model and analyze the impact on the electrical system.

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Application

For course offering

Spring 2025 TELPM,TIETM programme students

Application code

60301

Headings with content from the Course syllabus EI2460 (Spring 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Different technologies for energy storage.
  • Planning, operation and maintenance of electric power system with battery energy storage This includes different aspects such as effects on the electricity market, frequency control, charging and distributed systems.
  • Electrochemical and thermal models for the calculation of the basic properties of batteries.
  • Theory of Ragone plots.
  • Cost-benefit analysis for electrical power systems having battery energy storage.
  • Modelling and analysis of battery systems for electrical power system applications.
  • Dimensioning and analysis of battery energy storage systems for different applications in electric power grids and transport systems
  • Battery storages for energy and transport systems which include cooperation between energy and transport systems through electrification.
  • Sustainability issues for batteries.

Intended learning outcomes

After passing the course, the participant should be able to:

  • account for different technologies for energy storage that can be used in the electrical power system
  • account for batteries' life cycle in electrical power system applications
  • derive and use models for batteries in the context of electrical power systems
  • dimension and analyse battery energy storage systems for different applications in the context of electrical power system
  • simulate and analyse the influence of a battery energy storage system in a electrical power system.

Literature and preparations

Specific prerequisites

Knowledge in analysis of electric power system, 6 higher education credits, equivalent to completed course EG2100.

Knowledge in Electric Power Systems, 6 higher education credits, equivalent completed course EJ2301.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

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

Examination

  • INLA - Assignment, 1.0 credits, grading scale: P, F
  • LABA - Laboratory work, 1.0 credits, grading scale: P, F
  • TENA - Written exam, 4.0 credits, grading scale: A, B, C, D, E, FX, 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.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

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

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

Contact

Daniel Månsson

Supplementary information

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