Supervision, Control and Intelligent Power Systems

Code:

M.EEC018

Acronym:

SCRI

Keywords
Classification	Keyword
OFICIAL	Other Technical Areas

Instance: 2024/2025 - 1S

Active?	Yes
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	69	Syllabus	1	-	6	45,5	162

Teaching language

Suitable for English-speaking students

Objectives

1. Understand and be aware of the constitution and operation of supervisory and control systems for electric power systems, as well as be aware of the main functionalities at the level of a SCADA, EMS and DMS.
2. Understand the principles of state estimation (DC and AC), solving concrete problems.
3. Understand the problem of the optimum economic dispatch, solving also concrete problems.
4. Understand the principles of operation of the main FACTS devices, their utilization and modeling.
5. Be able to characterize the change of paradigm in the electric power systems and its influence in the supervisory, control and operation strategies.
6. Master the microgrid and multi-microgrids concepts and the associated operation modes as seminal elements regarding the development of smart grids.
7. Understand the dynamic modelling of distributed generation and microsources within microgrids/multimicrogrid and the associated control strategies.

Learning outcomes and competences

Develop a consolidated view regarding the monitoring, control and management of electric power transmission and distribution grids, including the architecture of SCADA systems and the main functionalities integrated in EMS and DMS systems. 

To understand the main problems associated to the functionalities installed in EMS and DMS systems, including the mathematical formulation used to solve those problems.

Understand the change of paradigm associated to distributed generation and impacts arising from it.

Understand the working mode of microgenerators, microgrids and multimicrogrids within the scope of the change of paradigm associated to distributed generation.

Working method

Presencial

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

Pre-requirements:  Algebra, Numerical Analysis, Programming , Circuits, Electric Power Systems, Electric Machinery Fundamentals

Co-requirements – Steady state analysis of electric power systems

Program

1. Architectures od power systems control centers with articulation between SCADA, EMS and DMS. Functionalities of SCADA, EMS and DMS systems and their coordination.
2. State Estimation – formulation of the problem (DC and AC) and solution methods. Detection of false measurements.
3. Introduction to the economic dispatch problem. Formulations and methods for the solution of the problem. Brief introduction to the hydro–thermal dispatch and the utilization of hydro pumping.
4. Main types of FACTS devices (SVC, STACOM). Modelling for power system analysis.
5. The change of paradigm in electric power systems: integration of distributed resources in distribution grids, associated impacts and the need of using new mechanisms for energy consumption management - smart metering.
6. The microgrid concept and its operation and control modes. Extending the microgrid concept: multi-microgrids.
7. Dynamic modeling of microgeneration units and control strategies for microgrids and multi-microgrids.

Mandatory literature

Antonio Gómez Expósito; Análisis y operación de sistemas de energía eléctrica. ISBN: 84-481-3592-X
N. D. Hatziargyriou; Microgrids. ISBN: 978-1-118-72068-4

Complementary Bibliography

John J. Grainger; Power System Analysis. ISBN: 0-07-113338-0
P. S. R. Murty; Operation and control in power systems

Teaching methods and learning activities

Theoretical classes will be based on the presentation of the topics of the course, while the theoretical-practical ones will be based on problem solving. In theoretical-practical classes it will be used computer programs of simulation, so that students can better understand the themes of the course. Students are expected to develop their assignments during theoretical-practical classes, where support will be also provided regarding the development of assignments whose technical reports will be evaluated. 

Software

PowerWorld
The Mathworks - Matlab - Release 11.1
PSS/E v33 ou V34

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho prático ou de projeto	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	66,50
Frequência das aulas	45,50
Trabalho escrito	50,00
Total:	162,00

Eligibility for exams

This course is composed by two assessment components:
- 2 practical assignments with reports;
- A final exam.

Students will be admitted to exams if the flowing conditions at met simultaneously:
- They do not miss more classes than allowed by the rules;
- They achieve a minimum mark of 50% in the assignments.

The assignments will assess the following CDIO Syllabus: 1.2, 1.3, 1.4, 2.1, 2.3, 2.4, 3.1, 3.3, 4.1, 4.2, 4.3, 4.4 and 4.6 The exam will assess the following CDIO Syllabus: 1.2, 1.3, 1.4, 2.1, 2.3, 2.4

Calculation formula of final grade

Formula for final grade: 0.6*Exam + 0.2*Assignment1+0.2*Assignment2
Having a minimum grade of 50% in two assignments;
Having a minimum of 45% in the exam.

Special assessment (TE, DA, ...)

These cases do not exempt students from the completion of the two assignments. They have to be performed and meet the same deadline as established for regular students. The form of assessment is therefore the same for all students, regardless of their particular case. 

When classes are not attended by special regime students, interviews may be required to correctly assess the work developed, after the delivery of the assignment reports.

Classification improvement

It is only possible to improve the score of the final exam.

The distributed evaluation can be improved through a new registration in the course to perform the two assignments. 

Observations

In case of not being approved to the course, the classification of the assignments can be kept for the two subsequent academic years, if requested by the student.