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Electronics for Power Systems and Transportation

Code: M.EEC010     Acronym: ESET

Keywords
Classification Keyword
OFICIAL Automation and Control

Instance: 2024/2025 - 2S Ícone do Moodle

Active? Yes
Web Page: https://sigarra.up.pt/feup/pt/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=485738
Responsible unit: Department of Electrical and Computer Engineering
Course/CS Responsible: Master in Electrical and Computer Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
M.EEC 22 Syllabus 1 - 6 45,5

Teaching Staff - Responsibilities

Teacher Responsibility
António José de Pina Martins

Teaching - Hours

Lectures: 1,50
Laboratory Practice: 2,00
Type Teacher Classes Hour
Lectures Totals 1 1,50
António José de Pina Martins 1,50
Laboratory Practice Totals 2 4,00
António José de Pina Martins 4,00

Teaching language

Suitable for English-speaking students

Objectives

The objective of this UC is to train in the field of integration of energy and transport systems within the framework of the smart city. Thus, its main objectives are:

  • Present and characterize microgrid architectures, with renewable production and storage;
  • Systematize electronic systems that allow integrated interconnection within the microgrid;
  • Analyze requirements for control and supervision solutions for the balance between consumption, production and storage of energy;
  • Promote teamwork and exercise the writing of technical-scientific reports;
  • Practice the oral presentation of own work.

Learning outcomes and competences

At the end of the course, as learning outcomes the student should be able to:

  • Analyze the electric energy and power requirements in the city (consumption, production, storage);
  • Analyze the application of different technologies in the power system infrastructure (wind, solar photovoltaic, fuel cell, storage, …);
  • Design and size energy conversion systems that allow the interconnection of energy sources with the electric grid;
  • Conceive the city's electric power grid as a micro-grid;
  • Understand the regulatory framework in the sector.

Working method

Presencial

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

Basic knowledge of energy conversion.

Program

General introduction. Objectives and targets for the energy transition.
Integration of energy and electric transportation systems. Contribution of power electronics systems.
Overview of distributed generation and micro-grid concept. Architecture and modes of operation.
Interface of power electronic systems with the electric grid and with direct current power sources.
Control and supervision of different renewable energy sources.
Energy storage systems and integration of energy sources.

Mandatory literature

H. Abu-Rub, M. Malinowski, K. Al-Haddad; Power Electronics for Renewable Energy Systems Transportation and Industrial Applications, IEEE Press - Wiley, 2014. ISBN: 9781118634035
F. Díaz-González, A. Sumper, O. Gomis-Bellmunt; Energy Storage in Power Systems, John Wiley & Sons Ltd, 2016. ISBN: 9781118971321

Complementary Bibliography

G. Abad; Power Electronics and Electric Drives for Traction Applications, John Wiley & Sons, Ltd., 2017. ISBN: 9781118954423

Teaching methods and learning activities

The teaching methodology includes lectures and practical/laboratory classes.
The lectures consist of exposition, analysis, discussion and clarification of the syllabus topics and case studies.

The practical classes have the following objectives:



  • Analysis and discussion of systems based on renewable sources including storage, with connection to the electricity grid operating as a microgrid;

  • Accompanying small projects, carried out in the laboratory: electronic power conversion systems and interface systems interconnecting the electricity grid, different energy sources, storage and loads.

Software

PSIM
SimPower System Blockset
Matlab

keywords

Technological sciences > Technology > Energy technology > Electric vehicles
Technological sciences > Engineering > Electrical engineering
Technological sciences > Technology > Energy technology > Renewable energies
Technological sciences > Technology > Energy technology > Electricity grid systems
Technological sciences > Technology > Energy technology > Energy storage

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 40,00
Trabalho prático ou de projeto 50,00
Apresentação/discussão de um trabalho científico 10,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Apresentação/discussão de um trabalho científico 2,00
Elaboração de projeto 60,00
Estudo autónomo 40,00
Frequência das aulas 46,00
Total: 148,00

Eligibility for exams

According to the "Normas Gerais de Avaliação" in force at Feup for the respective academic year in what concerns classes attendance.

Calculation formula of final grade

The evaluation takes into account the following components:


  • Practical works (TP), with individual assessment, supported by written reports, assessing the capability to design, simulate and implement, as well as critically evaluate the solution;

  • Oral presentation of the practical works (AO) and participation in classes;

  • Exam (EX), evaluating the capability of analyzing the operation of power electronics based systems, as well as of proposing specific solutions.


Calculation of final grade (CF):


  • CF=0,5*TP+0,1*AO+0,4*Ex


Note 1. "Practical work" can be one or more than one work.
Note 2. All components are scored in a 0,0-20,0 scale.

Note 3. Course approval requires a minimum score of 40% either in the distributed evaluation (TP+AO) and in the exam.

Examinations or Special Assignments

Not applicable.

Internship work/project

Not applicable.

Special assessment (TE, DA, ...)

There is not. Any student enrolled at the UC must carry out the same number and type of practical work, with eventual adjustment for individual work.

Distributed evaluation (TP+AO) is valid only for the academic year in which it is obtained and for the following academic year if it is for approval in the course.

Classification improvement

If it is in the academic year of approval: CF=0.5*TP+0,1*AO+0.4*EX
If in a later academic year: CF=EX
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