Electrical Power Systems (10 cr)
Code: TX00FA05-3003
General information
- Enrollment
-
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
- Timing
-
17.03.2025 - 11.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 10 cr
- Local portion
- 10 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) Electricity and Automation Team
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 10 - 80
- Degree programmes
- Electrical and Automation Engineering
- Teachers
- Juha Kallunki
- Jukka Karppinen
- Eero Kupila
- Teacher in charge
- Raisa Kallio
- Groups
-
SV23SSähkövoimatekniikan pääaine, syksyllä 2023 aloittaneet
-
SV24KSähkövoimatekniikan pääaine, keväällä 2024 aloittaneet
- Course
- TX00FA05
Implementation has 42 reservations. Total duration of reservations is 122 h 30 min.
Time | Topic | Location |
---|---|---|
Tue 18.03.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC375
Oppimistila
|
Wed 19.03.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Thu 20.03.2025 time 12:00 - 14:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMB301
Auditorio 3 krs.
|
Thu 20.03.2025 time 14:00 - 17:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Fri 21.03.2025 time 12:00 - 15:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Tue 25.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMB301
Auditorio 3 krs.
|
Tue 25.03.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMA101
A-auditorio
|
Wed 26.03.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Thu 27.03.2025 time 08:00 - 12:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Fri 28.03.2025 time 09:30 - 12:00 (2 h 30 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Fri 28.03.2025 time 12:00 - 15:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Tue 01.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMB235
Fysiikan Demolaboratorio
|
Wed 02.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Wed 02.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Thu 03.04.2025 time 09:00 - 13:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Thu 03.04.2025 time 14:00 - 17:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Fri 04.04.2025 time 12:00 - 15:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Mon 07.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
|
Tue 08.04.2025 time 08:00 - 10:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMB301
Auditorio 3 krs.
|
Tue 08.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMA101
A-auditorio
|
Wed 09.04.2025 time 08:00 - 12:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Wed 09.04.2025 time 12:00 - 14:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Thu 10.04.2025 time 08:00 - 13:00 (5 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
MMC376.2 Automaatiolaboratorio 2, Automaatioprosessit |
Thu 10.04.2025 time 08:00 - 12:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Mon 14.04.2025 time 12:00 - 17:00 (5 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
MMC376.2 Automaatiolaboratorio 2, Automaatioprosessit |
Tue 15.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMA101
A-auditorio
|
Wed 16.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Wed 16.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Thu 17.04.2025 time 08:00 - 13:00 (5 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
MMC376.2 Automaatiolaboratorio 2, Automaatioprosessit |
Thu 17.04.2025 time 08:00 - 12:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC360
Sähkötekniikan laboratorio
|
Thu 17.04.2025 time 13:00 - 17:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC360
Sähkötekniikan laboratorio
|
Tue 22.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMA101
A-auditorio
|
Wed 23.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Thu 24.04.2025 time 09:00 - 12:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Thu 24.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Mon 28.04.2025 time 08:00 - 11:00 (3 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC314
IT-Tila
|
Mon 28.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC136
Sähkökonelaboratorio
|
Tue 29.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMB301
Auditorio 3 krs.
|
Wed 30.04.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Tue 06.05.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMB301
Auditorio 3 krs.
|
Wed 07.05.2025 time 10:00 - 12:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMC345
Oppimistila
|
Wed 07.05.2025 time 12:00 - 14:00 (2 h 0 min) |
Sähköjärjestelmät TX00FA05-3003 |
MMA101
A-auditorio
|
Objective
The student is familiar with the most important electrical power quality criteria and standards, in particular standard EN 50160 and electricity market regulations.
The student knows the mutual interference factors and compatibility requirements between various network components.
The student knows the features, structure and communication methods of PLC’s
The student knows the structure and operating principles of frequency converters
The student is familiar with programming languages of the standard IEC 61131 and is able to make a basic software application.
Content
1. Power quality according to EN50160
2. Interference and compatibility factors (EMC) between the electrical network and the
electrical equipment connected to the network
3. Frequency converters: standards, structures and operating principles
4. Programmable logics
Location and time
Spring 2025 (second period)
Materials
Material given by lecturer(s)
Teaching methods
Lectures, laboratory works, group works, simulation exercises, individual tasks
Student workload
One credit corresponds to 27 hours of work, thus 10 credits = 270 h
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 field.
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
Continuous assessment.
Grade Points
0 0 – 33
1 34 – 47
2 48 – 60
3 61 – 73
4 74 – 86
5 87 - 100