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Electricity Market and Smart grid (10 cr)

Code: TX00FA08-3002

General information


Enrollment
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
Timing
13.01.2025 - 16.03.2025
Implementation has ended.
Number of ECTS credits allocated
10 cr
Local portion
10 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of Smart and Clean Solutions
Campus
Leiritie 1
Teaching languages
Finnish
Degree programmes
Electrical and Automation Engineering
Teachers
Raisa Kallio
Tomi Mäentausta
Antti Raininko
tetu virtuaali::automaatiotekniikka
Petteri Pakalen
Teacher in charge
Raisa Kallio
Groups
SV22S
Sähkövoimatekniikan pääaine, syksyllä 2022 aloittaneet
SV23K
Sähkövoimatekniikan pääaine, keväällä 2023 aloittaneet
Course
TX00FA08

Implementation has 16 reservations. Total duration of reservations is 47 h 30 min.

Time Topic Location
Mon 13.01.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
MMB301 Auditorio 3 krs.
Thu 16.01.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
MMB301 Auditorio 3 krs.
Mon 20.01.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
MMB301 Auditorio 3 krs.
Thu 23.01.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
MMB301 Auditorio 3 krs.
Mon 27.01.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Thu 30.01.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Mon 03.02.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Thu 06.02.2025 time 16:00 - 18:00
(2 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Mon 10.02.2025 time 15:00 - 19:00
(4 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
MMA101 A-auditorio
Mon 24.02.2025 time 17:00 - 20:45
(3 h 45 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Thu 27.02.2025 time 17:00 - 20:45
(3 h 45 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Mon 03.03.2025 time 16:00 - 20:00
(4 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Thu 06.03.2025 time 16:00 - 20:00
(4 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Mon 10.03.2025 time 16:00 - 20:00
(4 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Wed 12.03.2025 time 16:00 - 20:00
(4 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Thu 13.03.2025 time 16:00 - 20:00
(4 h 0 min)
Sähkömarkkinat ja älykkäät sähköverkot TX00FA08-3002
Online
Changes to reservations may be possible.

Objective

- The student is familiar with the operating principles of the Nordic electricity market.
- The student understands the operation logic of the physical electricity market and the financial
market.
- The student has a basic knowledge of smart grids concept and the current applications.
- The student knows the applications and choices of the decentralized power generation and
knows in outline their effects on the electrical system.
- The student knows the requirements for power distribution arising from electric vehicles.

Content

1. The Nordic electricity market policies
2. The physical market
3. The financial market and hedge
4. The European electricity market integration
5. Electricity storage and elasticity of demand
6. Smart Grids
7. Distributed power generation
8. Electric vehicle infrastructure

Location and time

luennot sekä etänä että kampuksella. Seuraa lukujärjestystä ja tiedotteita.

Materials

luennoilla ja työtilassa jaettava materiaali

Teaching methods

luennot ja harjoitustehtävä

Exam schedules

opintojakso arvioidaan viikkotehtävillä ja pikkukokeilla. Ajankohdat kerrotaan luennoilla ja työtilassa.

Completion alternatives

-

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.

Assessment methods and criteria

opintojakson arviointi perustuu viikkotehtäviin ja pikkukokeisiin. Jokainen opettaja kertoo oman arvioinnin tarkemmin osuudellaan.

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