Moses - Computer Modeling, Simulation, and Control of Renewable Energy Systems

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2019 - SoSe 2021. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40156 / #4

Validity:
SS 2019 - SoSe 2021

Default display language:
English

Module title:
Computer Modeling, Simulation, and Control of Renewable Energy Systems

Credits:
6

Responsible person:
Strunz, Kai

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Energie und Automatisierungstechnik

Area of expertise:
34312000 FG Energieversorgungsnetze und Integration Erneuerbarer Energien (SENSE)

Prüfungsausschuss:
No information

Kontakt

Office:
EMH 1

Contact person:
Strunz, Kai

E-mail address:
kai.strunz@tu-berlin.de

Website:

http://www.sense.tu-berlin.de/menue/studium_und_lehre/

Learning Outcomes

Energy systems are undergoing a profound and worldwide transformation. This can be rapidly recognized by considering some examples: • Fossil-fuel-based power plants are being replaced by renewables, complemented by storage. • The century-old battle of alternating current versus modern direct current solutions just makes a comeback. • Power electronic converters dramatically increase the opportunities of high-speed control. • Microgrids appear in the developing world for covering local needs such as cell phone charging and cooling; but simultaneously, there are already plans for a massive power grid spanning the entire globe. • Synergies among technology sectors give rise to new concepts such as vehicle-to-grid or power-to-heat. These are significant trends. Or are there even better alternatives? How do we make sure that the resulting systems are efficient and secure? What will happen if there is a fault? These and similar questions can only be answered if there are the right models for the computer-aided analysis and design of energy systems available. But what do we know about the availability of suitable models? One part of the answer is that there are some good tools with helpful models available. The other part of the answer is that there are many models missing and that the quality of specific existing models should be improved. In any case, knowledge on the computer modeling of renewable energy systems is very valuable and forward-looking. Engineers and scientists need such knowledge for informed decision making regarding the renewable energy systems of today and tomorrow. It is this kind of knowledge that the participants of the course will acquire.

Content

A particularly important part of the modeling is concerned with the analysis of the dynamic behavior of the energy systems. For this purpose, computer programs represent the dynamic state equations by their discrete counterparts through the application of numerical integration. Different numerical integration methods do exist, and those have different features and so give different results. For the correct usage of simulation tools, the basic knowledge of simulation methods is therefore extremely valuable. For this reason, the module begins with an introduction of this topic. It will become evident that the correct usage has significant implications on the quality of the solution. We will also discuss this in the context of real-time simulation for control system testing. Students will get to know the significance of simulation by developing an own small network simulator in the practice sessions. Very insightful is the modeling of energy systems with very high shares of renewable power injection of 60 %, 80 %, or even 100 %. The given power electronics for converting DC into AC is then able to respond to faults und start system-wide control actions at very high speeds. Some of the known simulation techniques would give wrong results at such high shares of renewables. In the module, it is shown how to model these 100 % renewable energy systems correctly. Furthermore, it is investigated how new technologies such as power-to-heat can be integrated into the simulation, too.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Electric Energy Networks II - Modeling and Simulation of Transients	IV	0430 L 502	WiSe	No information	4

Workload and Credit Points

Electric Energy Networks II - Modeling and Simulation of Transients (IV):

Workload description	Multiplier	Hours	Total
1 - Lecture time	15.0	2.0h	30.0h
2 - Lecture preparation	15.0	2.0h	30.0h
3 - Practice session time	15.0	2.0h	30.0h
4 - Conduction practice session and project	15.0	4.0h	60.0h
5 - Preparing for test	1.0	30.0h	30.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The material is covered through lectures, practice sessions and projects.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

No preconditions.

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

Name	Points	Categorie	Duration/Extent
(Deliverable assessment) Homework 1	6	written	3 hours
(Deliverable assessment) Homework 2	6	written	3 hours
(Deliverable assessment) Homework 3	6	written	3 hours
(Deliverable assessment) Project report	32	written	20 hours
(Deliverable assessment) Project presentation	10	oral	15 minutes
(Examination) Written test	40	written	75 minutes

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

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:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Registration for the courses is not necessary. Registration for the module takes place online via QISPOS.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

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

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

Electrical engineering, industrial engineering, computer engineering, process engineering and others welcome

Computer Modeling, Simulation, and Control of Renewable Energy Systems