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#40916 / #3

WS 2019/20 - WiSe 2023/24

English

Smart Energy Systems

9

Albayrak, Sahin

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

No information

Kontakt


TEL 14

Yurdakul, Ogün

sahin.albayrak@tu-berlin.de

Learning Outcomes

By the end of this course, students will have • the ability to solve real-world problems with an analytical approach • a deeper understanding of the technical, regulatory, economic, and environmental aspects of electricity • keen insights into the challenges associated with the integration of renewable energy resources to grid • sufficient skills to optimize the operation of energy resources, loads, and energy storage resources based on user-defined objectives and constraints • the capability to apply machine learning algorithms to forecast load and renewable electricity generation

Content

The course explores the technical, economic, environmental and policy aspects of microgrids with renewable energy resources (RERs), energy storage resources (ESRs), and electric vehicles (EVs). The upsurge in renewable generation, EV sales, and ESR integration, the restructuring of the electricity industry, the aging transmission system, and the increasing interest in environmental protection are presenting unparalleled challenges to the electric power industry. Microgrids permit the reliable integration of RERs, EVs, and ESRs to the electricity grid, and enable the local consumption and generation of electricity, thereby alleviating congestion in the transmission system. A key challenge in microgrids is the optimization of the controllable physical assets in the microgrid based on user-defined goals and constraints, all the while ensuring a reliable operation of the microgrid. In this course, students will form groups to undertake projects on the energy management of a house, a vessel, and an electric vehicle, that are modeled as microgrids. Lectures on the basics of power systems, power flow equations, optimization techniques, and renewable and load forecasting techniques will be conducted. In addition, the economic and regulatory policy aspects of electricity are treated.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Smart Energy SystemsPJ0435 L 779WiSe/SoSeGerman/English4

Workload and Credit Points

Smart Energy Systems (PJ):

Workload descriptionMultiplierHoursTotal
attendance15.02.0h30.0h
participation in weekly group meetings15.02.0h30.0h
homework preparation3.05.0h15.0h
quiz preparation3.05.0h15.0h
implementation1.080.0h80.0h
final presentation preparation1.040.0h40.0h
oral exam preparation1.020.0h20.0h
final report preparation1.040.0h40.0h
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

Students are expected to attend lectures. They will also take part in teamwork projects and practice in regular support sessions.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Students are expected to have good programming skills.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
Homework15practical12 weeks
Quizzes15written3 x 20 minutes
Oral Exam15oral15 minutes
Final Presentation25oral20 minutes
Final Report30written20-30 pages

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Enrolment is done via Qispos or examination office (Prüfungsamt) and additionally registration on corresponding ISIS course page.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information