Planning and Reliability

Code:

M.EEC061

Acronym:

FPLA

Keywords
Classification	Keyword
OFICIAL	Power

Instance: 2021/2022 - 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	8	Syllabus	2	-	6	45,5

Teaching language

Portuguese

Objectives

Students should be able to: Understand and explain the reliability issues of the composite generation-transmission system and cover the main evaluation techniques (CDIO 1.3, 1.4, 2.1, 2.3). Apply simulation methodologies to these problems (CDIO 2.1, 2.4, 2.5, 3.2, 3.3). Know and apply methodologies for planning, namely in an uncertainty environment (CDIO 2.5, 4.1, 4.2, 4.3, 4.4, 4.6). Analyze the impact of the structural modifications of the electric sector in the planning activity (CDIO 2.5, 4.1, 4.2).

Learning outcomes and competences

Defined in the objectives.

Working method

Presencial

Program

Reliability of the generating system. Deterministic and probabilistic criteria for the evaluation of reserves. Risk. Definition of expansion strategies taking in account risk and investment.

Reliability of the composite generation-transmission system. Analytic methods and simulation. Monte Carlo: theory. Acceleration of convergence: contrl variables and importance sampling. Confidence intervals and convergence. Systems with hydro component. Systems with high penetration of wind power.

Reliability assessment by meta-heurístics, competing against Monte Carlo.

Planning of transmission and distribution systems. Optimization based models. Basic Garver model. Optimization with meta-heuristics. Planning in transmission systems with a high penetration of renewables.

Reactive power planning: operation and investment.

Mandatory literature

Vladimiro Miranda; Fiabilidade em Sistemas de Potência - uma introdução, 2006
Billinton, Roy; Reliability asessment of electric power systems using Monte Carlo Methods. ISBN: 0-306-44781-9
Billinton, Roy; Reliability evaluation of power system. ISBN: 0-306-45259-6
Lee, Kwang Y. 340; Modern heuristic optimization techniques. ISBN: 978-0-471-45711-4

Complementary Bibliography

Willis, H. Lee; Power Distribution Planning Reference Book. ISBN: 0-8247-0098-8
Lakervi, E.; Electricity distribution network design. ISBN: 0-86341-308-0

Teaching methods and learning activities

Lectures, discussion and interaction about concepts and foundations of the methodologies. Tutorial classes dedicated to the development of small group projects that constitute the assignments of the course.

keywords

Technological sciences > Technology > Energy technology > Electricity grid systems
Technological sciences > Engineering > Electrical engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	50,00
Participação presencial	0,00
Trabalho escrito	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de relatório/dissertação/tese	50,00
Estudo autónomo	56,00
Frequência das aulas	56,00
Total:	162,00

Eligibility for exams

Successful completion of the two assignments (at least 8 out of 20).

Calculation formula of final grade

Written exam, 50% Assignments, 50% (Minimum of 8/20 in both components)

Examinations or Special Assignments

Written exam, 50% Assignments, 50% (Minimum of 8/20 in both components).

Special assessment (TE, DA, ...)

All the students must complete the assignments.

Classification improvement

A second opportunity for the exam is available. Distributed evaluation cannot by its nature be improved.

Observations

Link for remote-mode classes:
 https://videoconf-colibri.zoom.us/j/88372921681?pwd=RFBzU2oyVzM4T2xZUWZmS0dQQkhTdz09