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Distribution Networks (15 cr)

Code: TX00CY59-3006

General information


Enrollment
01.05.2024 - 31.05.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 13.10.2024
Implementation has ended.
Number of ECTS credits allocated
15 cr
Local portion
15 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of Smart and Clean Solutions
Campus
Leiritie 1
Teaching languages
Finnish
Seats
20 - 30
Degree programmes
Electrical and Automation Engineering
Teachers
Raisa Kallio
Kimmo Haanpää
tetu virtuaali::automaatiotekniikka
Jarno Varteva
Teacher in charge
Raisa Kallio
Groups
SV22S
Sähkövoimatekniikan pääaine, syksyllä 2022 aloittaneet
Course
TX00CY59

Implementation has 31 reservations. Total duration of reservations is 124 h 0 min.

Time Topic Location
Mon 19.08.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 20.08.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA103 Oppimistila
Thu 22.08.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Mon 26.08.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 27.08.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA103 Oppimistila
Thu 29.08.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 29.08.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Mon 02.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 03.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA103 Oppimistila
Thu 05.09.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 05.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Mon 09.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 10.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA224 Oppimistila
Thu 12.09.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 12.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Mon 16.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 17.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA103 Oppimistila
Thu 19.09.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 19.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Mon 23.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 24.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA111a Oppimistila
Thu 26.09.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 26.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Mon 30.09.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 01.10.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA103 Oppimistila
Thu 03.10.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 03.10.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Mon 07.10.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA115 Oppimistila
Tue 08.10.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMA103 Oppimistila
Thu 10.10.2024 time 08:00 - 12:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMB330 IT-Tila
Thu 10.10.2024 time 12:00 - 16:00
(4 h 0 min)
Jakeluverkot TX00CY59-3006
MMC360 Sähkötekniikan laboratorio
MMC361 Tehoelektroniikan laboratorio
MMA103 Oppimistila
Changes to reservations may be possible.

Objective

- The student knows the main distribution network design principles.
- The student knows the components, structures, planning and design principles of substations, transformers and wiring.
- The student is familiar with the distribution automation and remote control applications and potential. The student is familiar with the distribution automation technology, systems and solutions.
- The student knows the customer group-specific power and energy design principles and based on these is able to plan network parts. The student knows the reactive power compensation optimization criteria.
- The student is able to compare the comprehensive life-cycle costs of different components, and select the best structures in overall terms.
- The student is able to perceive and process the electricity distribution network planning and optimization as a whole, so that in the same context are taken into account all important design factors and techno-economic boundary conditions.

Content

- Substations: Components, structure and design
- Distribution substations and transmission lines, as well as their technical dimensioning
- The objectives, functions, technology and systems of the distribution network automation and remote control.
- Consumer type-specific load profiles and network dimensioning
- Reactive Power Compensation
- The integrated life-cycle costs of distribution network
- Applied 20/0.4 kV electricity distribution network planning and dimensioning exercise
- Distribution technology laboratory work

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 criteria, approved/failed

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.

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