Disperse Generation

Code:

EEC0121

Acronym:

PDIS

Keywords
Classification	Keyword
OFICIAL	Power

Instance: 2014/2015 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	48	Syllabus	5	-	6	56	162

Teaching language

Portuguese

Objectives

This course aims to develop students’ skills on:
1. the acquisition and demonstration of advanced knowledge on system analysis of dispersed production. Students should be capable of solving problems by applying their knowledge (CDIO Syllabus: 1.3, 1.4, 2.1, 2.4);
2. the treatment, validation and interpretation of results (CDIO Syllabus: 1.3, 2.1, 2.3);
3. planning and developing a team work. Bibliography research and presentation of projects (CDIO Syllabus: 3.1, 3.2, 3.3)
4. the understanding of external, enterprise and commercial contexts in which this sector is incorporated (CDIO Syllabus: 4.1 and 4.2);
5. the necessity of setting objectives in a dispersed production project. To define the stages of the project and its operation (CDIO Syllabus: 4.3, 4.4. and 4.6)

Learning outcomes and competences

 

Advanced knowledge on the integration of distributed generation in the electricity networks and on the resulting impacts.

Advanced knowledge regarding the identification of solutions for the operation and control of electrical networks with high volumes of distributed generation.

 

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

The pre-requisites for this curricular unit include: power flow analysis, electric machines, and electric power transmission and distribution systems, power electronics. 

It is from the student’s responsibility to acquire these basic knowledge.

Program

 

Topics of the program:

1. General aspects on Distributed Generation and Renewable Energy
2. Distributed generation technologies.
3. Remuneration of of Distributed Generation
4. Integration of distributed generation in the electricity networks - impact on voltage profiles, losses, branches congestion and protection systems.
5. Integration of distributed generation in the electricity networks - Impact analysis on the transmission and generation system.
6. Microgeneration and minigeneration.
7. Advanced solutions for the integration of distributed generation in the electricity networks: micro-networks and multi-microgrids.
8. Smart Grids: concepts, application functionalities.

Mandatory literature

Math H. Bollen, Fainan Hassan; Integration of Distributed Generation in the Power System , IEEE Press , 2011. ISBN: 978-0470643372
Jenkins, Nick 070; Embedded generation. ISBN: 0-85296-774-8
Willis, H. Lee; Distributed power generation. ISBN: 0-8247-0336-7

Complementary Bibliography

Martin Kaltschmitt; Renewable Energy, Springer, 2007. ISBN: 978-3-540-70947-3
Gilbert M. Masters; Renewable and Efficient Electric Power Systems, Wiley-IEEE Press, 2004. ISBN: 978-0-471-28060-6

Teaching methods and learning activities

 

 In the theoretical lectures it is made an oral and multimedia about the program topics

In laboratory classes (taking place in a computer lab) will be solved exercises of realistic size / complexity which are related to the topics presented in the theoretical lectures. The exercises should be solved in groups of two students (exceptionally three). Afterword it is required each group to submit a report that describes the approach that was followed to solve the exercise. To solve the exercises, students can choose the software they think it is appropriate or follow the indications of the teacher. During laboratory classes, the teacher will be available to guide the development of the work, by clarifying the doubts that may arise.

 The evaluation of the reports produced by the students is used for the distributed evaluation of the discipline.

 

Software

PSS/E
Matlab/Simulink

keywords

Technological sciences > Engineering > Electrical engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	50,00
Trabalho escrito	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	50,00
Frequência das aulas	56,00
Trabalho de investigação	56,00
Total:	162,00

Eligibility for exams

The students should develop all the assignments and deliver the corresponding report. 
The students are admitied to the final exam after achiving a minimum mark of 50 % in the distributed evaluation. 

Calculation formula of final grade

The final grade is computed as follows:
0.5*Exam grade+0.5*Distributed Evaluation

The Distributed Evaluation is the mean value of all evaluation of all the proposed assignments . The Distributed Evaluation is only valid in the academic year in which it is taken.

The exam will be based on the theoretical concepts taught during the course.
A minimum mark of 45% is required in the final Exam.