Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / EEM-530 - ELECTRICAL AND ELECTRONICS ENGINEERING (MASTER)

Code: EEM-530 Course Title: SMART GRIDS AND APPLICATIONS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department ELECTRICAL AND ELECTRONICS ENGINEERING (MASTER)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ERSAN KABALCI (kabalci@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Teach smart technologies and gain the ability to analyze smart grid technologies.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Know structure of smart grid. PO-1 Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
PO-4 Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
PO-5 Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
PO-6 The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
Examination
LO-2 Can explain renewable energy sources and smart grid systems PO-1 Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
PO-4 Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
PO-5 Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
PO-6 The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
Examination
LO-3 Can make smart grid system modeling and analysis. PO-1 Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
PO-4 Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
PO-5 Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
PO-6 The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
Examination
LO-4 Can explain smart grid communication systems. PO-1 Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
PO-4 Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
PO-5 Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
PO-6 The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
Examination
LO-5 Can explain security, flexibility and stability in smart grid. PO-1 Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
PO-4 Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
PO-5 Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
PO-6 The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Introduction to Smart Grid Architecture, Micro Grid and Renewable Energy Sources, Smart Grid Communication Systems and Standards, Demand Response and Demand Management, Transmission and Distribution Systems, Smart Consumption Systems and Energy Networks, Smart Grid Measurement and Monitoring, Smart Grid Transmission and Wide Area Networks, Energy Storage Systems and Electric Vehicles, Smart Grid Security and Flexibility, Stability in Smart Grid.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to Smart Grid Architecture Lecture, question and answer
2 Micro Grid and Renewable Energy Sources Lecture, question and answer
3 Smart Grid Communication Systems and Standards Lecture, question and answer
4 Smart Grid Communication Systems and Standards Lecture, question and answer
5 Demand Response and Demand Management Lecture, question and answer
6 Transmission and Distribution Systems Lecture, question and answer
7 Smart Consumption Systems and Energy Networks Lecture, question and answer
8 mid-term exam
9 Smart Grid Measurement and Monitoring Lecture, question and answer
10 Smart Grid Measurement and Monitoring Lecture, question and answer
11 Smart Grid Transmission and Wide Area Networks Lecture, question and answer
12 Energy Storage Systems and Electric Vehicles Lecture, question and answer
13 Smart Grid Security and Flexibility Lecture, question and answer
14 Stability in Smart Grid Lecture, question and answer
15 Stability in Smart Grid Lecture, question and answer
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Communication, Control and Security Challenges for the Smart Grid, Dr S. M. Muyeen and Dr Saifur Rahman IET Publication, 2017.
2 Smart Grid: Networking, Data Management, and Business Models, Hussein T. Mouftah, Melike Erol-Kantarci, CRC Press, 2016.
3 Smart Grid Security: An End-to-End View of Security in the New Electrical Grid, Gilbert N. Sorebo, Michael C. Echols, CRC Press, 2011.
4 Smart Grids: Clouds, Communications, Open Source, and Automation, David Bakken, CRC Press, 2014
Required Course instruments and materials
Course book, laptop computer, projector

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 3 18 54
       b) Search in internet/Library 3 18 54
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 1 14 14
mid-term exam 1 1 1
Own study for final exam 1 14 14
final exam 1 1 1
0
0
Total work load; 180