htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
emphasize objectives XML-Code

flag



Smart Grids and Distributed Generation

Module name (EN):
Name of module in study programme. It should be precise and clear.
Smart Grids and Distributed Generation
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018
Module code: E2410
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P211-0129
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2P (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 4
Mandatory course: yes
Language of instruction:
German
Assessment:
Project work

[updated 08.01.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E2410 (P211-0129) Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , semester 4, mandatory course, technical
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Michael Igel
Lecturer: Prof. Dr. Michael Igel

[updated 10.09.2018]
Learning outcomes:
After successfully completing this course, students will have initial experience in working with typical simulation tools in electrical power engineering. They will be able to solve and validate simple problems with the help of these tools. In addition, they will be capable of operating and evaluating common data acquisition and output devices.

[updated 08.01.2020]
Module content:
1. Introduction to a network calculation tool 2. Load flow calculations in power grids with distributed generation plants 3. Simulation of power electronic systems 4. Model design for smart grid components 5. Validating simulation results 6. Acquisition and output of alternating quantities with the help of suitable tools 7. Economic consideration of distributed generation plants

[updated 08.01.2020]
Teaching methods/Media:
Overhead slides, blackboard, lecture notes and exercise sheets in electronic form, presentation, video projector, engineering tools

[updated 08.01.2020]
Recommended or required reading:
Bosl, Angelika: Einführung in MATLAB/Simulink, Hanser, (latest edition)

[updated 08.01.2020]
 
[Sun Oct  6 06:26:24 CEST 2024, CKEY=e3E2410, BKEY=ei, CID=E2410, LANGUAGE=en, DATE=06.10.2024]