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Optimization of Electrical Power Systems

Code: MEC121007     Sigla: O

Áreas Científicas
Classificação Área Científica
OFICIAL Electric Power Systems

Ocorrência: 2023/2024 - 2S

Ativa? Yes
Unidade Responsável: Departamento de Engenharia Eletrotécnica
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla Nº de Estudantes Plano de Estudos Anos Curriculares Créditos UCN Créditos ECTS Horas de Contacto Horas Totais
MEEC 21 Plano de Estudos_2020 1 - 7,5 70 202,5

Docência - Responsabilidades

Docente Responsabilidade
Paulo Jorge da Costa Santos

Docência - Horas

Theorethical and Practical : 2,67
Practical and Laboratory: 1,33
Orientação Tutorial: 0,67
Type Docente Turmas Horas
Theorethical and Practical Totais 1 2,67
Paulo Jorge da Costa Santos 4,00
Orientação Tutorial Totais 1 0,67
Paulo Jorge da Costa Santos 0,47

Língua de trabalho

Portuguese - Suitable for English-speaking students

Objetivos

This course is intended to provide the Electrical Engineer of Renewable Energies and Power Systems with knowledge related to the problems associated with optimal dispatch (OD), as well as knowledge of reliability in generation systems. So, with respect to the DO. As objectives, it is intended that the student learns concepts such as: The operation of the SEE must be conducted in order to optimize the production cost and guarantee the security of supply. Understand the classic DO problem, which consists of determining the power to be supplied by each generator in service. Apprehend the concept of global minimum cost.
Production capacity planning. The installed capacity equal to the expected peak (maximum power) plus a fixed percentage of the peak. Apprehend the concept of Operating Capacity, as well, that operating capacity equal to the maximum demand plus a reserve equal to one of the largest units in operation, among others.

Resultados de aprendizagem e competências

This course is intended to provide the Electrical Engineer of Renewable Energies and Power Systems with knowledge related to the problems associated with optimal dispatch (OD), as well as knowledge of reliability in generation systems. So, with respect to the DO. As objectives, it is intended that the student learns concepts such as: The operation of the SEE must be conducted in order to optimize the production cost and guarantee the security of supply. Understand the classic DO problem, which consists of determining the power to be supplied by each generator in service. Apprehend the concept of global minimum cost.
Production capacity planning. The installed capacity equal to the expected peak (maximum power) plus a fixed percentage of the peak. Apprehend the concept of Operating Capacity, as well, that operating capacity equal to the maximum demand plus a reserve equal to one of the largest units in operation, among others.

Modo de trabalho

Presencial

Programa

1. Introduction.

1.1 Organization of the National SEE.
1.2 The Energy Market.
1.3 Functioning of MIBEL. Construction of Energy Prices
1.4 Activities inherent to the operation of an electrical energy system.
1.5 The real-time control of the SE.
1.6 The production system and the load diagram.
1.7 The costs of producing electricity.
1.8 Cost functions of cassic thermal generators.
1.9 Costs of connecting and reconnecting a thermal generator.

2. Optimized Operation.

2.1. - Economic dispatch without losses.
2.1.1 - Lagrange multipliers method.
2.1.2 - Generated Power Limits.
2.1.3 - Linear Production Cost Curve.
2.2. - Economic dispatch with losses.

Bibliografia Obrigatória

Elgerd, Olle L.; Energy Systems Theory an Introduction, McGraw-Hill, 1982. ISBN: ISBN: 0-07-Y66273-8.
Kersting William H; Distribution System Modeling and Analysis,, CRC Press New York. ISBN: ISBN: 0-8493-0812-7
Paiva, J; Redes de Energia Eléctrica uma análise sistémica, IST Press, 2005. ISBN: ISBN: 972-8469-34-9.

Métodos de ensino e atividades de aprendizagem

Theoretical-practical classes will have a component based on the exposition of the syllabus of the discipline and another component based on the exemplification, in terms of applications, of that content, and on problem solving.
This exhibition will be complemented with laboratory work by the student, where a strong component of autonomous work is privileged over the development of the proposed works.

Software

MATLAB

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation Peso (%)
Participação presencial 15,00
Trabalho escrito 85,00
Total: 100,00

Componentes de Ocupação

Designation Tempo (Horas)
Estudo autónomo 70,00
Frequência das aulas 60,00
Trabalho escrito 70,00
Total: 200,00

Obtenção de frequência

Final evaluation:

Evaluation by works
NF = NP
(minimum grade of 10 values).


Examination only when there is no success in the work, or the student intends to improve his classification.

Fórmula de cálculo da classificação final

NF=0,5T1+0,5*T2
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