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Smart Electric Energy Grids

Code:

LEEC31160

Sigla:

REEI

Áreas Científicas
Classificação	Área Científica
OFICIAL	Electric Power Systems

Ocorrência: 2021/2022 - 1S

Ativa?	Yes
Unidade Responsável:	Departamento de Engenharia Eletrotécnica
Curso/CE Responsável:	Electrical and Computer Engineering

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
EEC	13	Plano de Estudos	3	-	6	60	162

Língua de trabalho

Portuguese

Objetivos

In this UC it is intended the acquisition of concepts associated with electrical distribution networks, the characterization and planning of an intelligent electricity grid, discuss the technologies used in smart grids, identify the functions and requirements associated with electrical grids intelligent, identify new business opportunities created based on characteristics and technological resources inherent to smart electricity grids and discuss the normative aspects.

The objectives of the UC consist of:
• Analyze current electricity distribution networks and associated technologies.
• Present the fundamental concepts associated with smart grids.
• Know the generation of renewable energy, storage technologies of
grid integration energy and future developments. Identify the challenges of
integration of renewable energy into electricity grids.
• Identify advanced concepts of smart grid management and control.
• Identify data management and information technology requirements and
communication for smart grids and study their impact on smart grids.
electrical distribution.
• Knowing regulations and standards related to network development
intelligent, identify the main actors and the potential impact.

In addition, it is also intended to develop general skills, such as:
• Analysis and synthesis capacity
• Oral and written communication skills
• Capacity for critical judgment
• Ability to appreciate different perspectives
• Ability to work in a team.

Resultados de aprendizagem e competências

Upon completion of the course, the student will be able to:
1. Understand what smart grids are and what their benefits are;
2. Understand the architecture and implementation of smart grids;
3. Understand smart grid technologies, business and generation operations
power;
4. Understand the technology options related to renewable energy generation,
storage of energy, data and communication in smart electrical networks.
5. Understand how renewable energy and energy storage can be
integrated using smart grid technologies;
6. Understand the challenges of integrating renewable energy and vehicles
electricity in smart grids;
7. Understand the implications on consumer management with the introduction of
smart counters;
8. Understand the smart grid of the future and how advanced technologies should be
integrated to enable a modern network;
9. Analyze the new roles of utilities and consumers in networks
smart and identify business and market opportunities and potential earnings.
10. Determine the relevance of smart grid projects and develop ways to
assess its impacts and implications.
In addition, the student will also be able to:
11. apply fundamental concepts to solve application problems.
12. to study advanced materials independently and present findings to
others.
13. Classroom discussion and case study presentation.

Modo de trabalho

Presencial

Programa

1. Basics of Electric Distribution Networks.
2. Introduction to Intelligent Distribution Networks: definition and benefits.
3. Technologies for the implementation of smart grids.
4. Information, communication and security technologies for smart grids.
5. Challenges for the integration of renewable energies.
6. Challenges for the integration of electric vehicles and storage systems.
energy.
7. Consumer management. Smart counters and load optimization.
8. Smart grid savings.
9. Micro networks
10. Challenges to the implementation of smart grids.
11. Applicable Regulations and Rules. Political and Regulatory Drivers of Intelligent Networks.
12. Exemplary projects.
13. Case Studies and Presentations

Bibliografia Obrigatória

James Momoh, ; Smart Grid: Fundamentals of Design and Analysis,, John Wiley & Sons,, 2012

Observações Bibliográficas

No books are prescribed for UC and presentations. The bibliography includes material from a wide range of sources covering different aspects of smart grids. References to Related and complementary books, reading material and video will be provided when Course Report considered necessary. However, additional resources will be used based on the following references:

Resources from Government Agencies
1. NIST Smart Grid Website
2. SmartGrid.gov
3. Smart Grid Information Clearinghouse
4. U.S. Department of Energy - Smart Grid
5. U.S. Department of Energy - Smart Grid Primers

Industry Resources
1. Association for Demand Response & Smart Grid
2. EPRI Smart Grid Resource Center
3. GridWise Alliance
4. Institute for Electric Efficiency
5. Smart Grid Consumer Collaborative
6. Smart Meter Manufacturers Association of America

Métodos de ensino e atividades de aprendizagem

The syllabus is in line with the unit's objectives curriculum, since they address a set of fundamental themes for obtaining the knowledge of the various systems that make up smart electricity grids. wanted so accompany this new type of infrastructure, namely through the of the various technologies associated with these networks, functions and associated impacts, requirements for its installation, applicable regulations and standards.
With the Basics of Electric Distribution Networks and the Introduction to Smart Grids of Distribution: definition and benefits it is intended that students understand what they are smart grids and what are their benefits as well as the architecture and implementation of smart grids;
With Technologies for the implementation of smart grids and Technologies for
information, communication and security of smart grids it is intended that students understand smart grid technologies, business and power generation 
energy operations;
With Renewable Energy Integration Challenges and Vehicle Integration Challenges electrical and energy storage systems it is intended that students
understand the technology options regarding the generation of renewable energy, storage of energy, data and communication in smart grids,
understand how renewable energy and energy storage can be
integrated using smart grid technologies and understand integration challenges renewable energy and electric vehicles in smart grids;
With Consumer Management and Smart Meters and load optimization, it is intended that students understand the implications in consumer management with the introduction of smart counters;
With the Analyze the new roles of utilities and consumers in smart grids
and identify business and market opportunities and potential gains.
Students understand the Economics of Smart Grids, the Challenges to Implementing Smart Grids and micro-grids.
With the illustrative projects and the case studies and presentations it is intended that the students understand the relevance of smart grid projects and develop ways to assess its impacts and implications.
With the applicable Regulations and Rules. Political and Regulatory Drivers of Networks Smart is intended for students to understand the smart grid of the future and how the advanced technologies must be integrated to enable a modern network.

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation	Peso (%)
Teste	70,00
Trabalho laboratorial	30,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Trabalho laboratorial	30,00
Estudo autónomo	60,00
Frequência das aulas	30,00
Total:	120,00

Obtenção de frequência

The evaluation components will have the following weights in the final classification (NF):

Continuous evaluation:

- Knowledge assessed in theoretical-practical test (NT): 70% (minimum grade of 7 points)

- Knowledge assessed in the work of a project/case study (NP): 30% (minimum grade of 10 points)

  according to the following formula: Final Grade=NT*0.7+NP*0.3 (minimum grade of 10 values)

Assessment by exam:

Final grade = Exam Grade (minimum grade of 10)

Approval Conditions:

The final grade of the course will be calculated as follows:

- Theoretical grade (NT): the minimum test grade is 7 values (without rounding), with a weight of 70%.

- Final exam grade (NE) obligatorily equal to or greater than 10 points.

- Practical grade (NP): calculated based

Fórmula de cálculo da classificação final

Final Grade=NT*0.7+NP*0.3