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EI2460 Batteries for Energy Storage in Electrical Systems 6.0 hp

Course memo Spring 2023-60680

Version 1 – 01/24/2023, 3:41:33 PM

Course offering

Spring 2023-1 (Start date 20/03/2023, English)

Language Of Instruction

English

Offered By

EECS/Electrical Engineering

Course memo Spring 2023

Course presentation

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.

Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Spring 2022

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 with applications to electrical power systems

• 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

Intended learning outcomes

After passing the course, the student 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

• retrieve models for how storing energy in batteries influences the electricity market and the frequency control in the electrical power system.

• simulate and analyse the influence of a battery energy storage system in a electrical power system.

Preparations before course start

Literature

No information inserted

Examination and completion

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.

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

No information inserted

Round Facts

Start date

20 Mar 2023

Course offering

  • Spring 2023-60680

Language Of Instruction

English

Offered By

EECS/Electrical Engineering

Contacts

Course Coordinator

Teachers

Examiner