INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Electrical and Electronic Engineering
2016-2017

SYLLABUS
Code Name Level Year Semester
EEE 510 Smart Grid Technologies Graduate 1 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 6 3 150 English

Instructor Assistant Coordinator
Damir Bilić, Research Assistant Mustafa Musić Mustafa Musić, Assoc. Prof. Dr.
[email protected] [email protected] no email

The use of communications and information technologies is likely to cause major shifts in the way energy gets delivered. The smart grid will use these technologies to deliver electricity reliably and efficiently, and it has the potential to radically change the electricity sector in the same way that new technologies changed the telecommunications sector. This course will examine not just the smart grid technologies, but the transformational impacts of the smart grid on the industry. Students in this course will learn the fundamentals of the smart grid: its purpose and objectives, its technologies, its architectures, and its management. Students will also learn many of the challenges facing the smart grid as part of its evolution

COURSE OBJECTIVE
1. Demonstrate a high level of qualitative and quantitative understanding of how modern power systems operate from a physical and economic perspective.
2. Describe in detail how ICT is impacting patterns and methods of electric energy generation
3. Describe in detail how ICT is impacting patterns and methods of electric energy transmission
4. Describe in detail how ICT is impacting patterns and methods of electric energy distribution
5. Describe in detail how ICT is impacting patterns an
d methods of electric energy consumption

COURSE CONTENT
Week
Topic
  1. Power systems history and basic physics
  2. Smart Grid & power supply ( Power System economics Renewable, intermittent power sources , Storage , The need for demand response — the emissions and economics costs of peak power , Microgrids )
  3. Elements of the power grid and measurement technologies : generation, transmission, distribution, and end – user ; Wide area monitoring system (WAMS), advanced meter ing infrastructure (AMI), and phasor measurement units (PMU)
  4. Elements of communication and networking: architectures, sta ndards and adaptation of power line communication (PLC), GSM, and more; machine ­ ­ ‐ to ­ ­ ‐ mac hine communication models for the s mart grid;
  5. Smart Grid & distribution
  6. Elements of management: spects of energy management in the smart grid; SCADA; microgrids, demonstration
  7. projects; case studies
  8. Smart grids control elements

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Interactive Lectures
    • Presentation
    • Discussions and group work
    • Assignments
    Description (%)
    Method Quantity Percentage (%)
    Midterm Exam(s)125
    Presentation110
    Term Paper125
    Final Exam140
    Total: 100
    Learning outcomes
    • Understand the fundamental element of the smart grid
    • Be able to use simulation tools such as Matlab , for power flow analysis , optimization and state estimation
    • . Be introduced to communication, networking, and sensing technologies involved with the smart grid
    • Be introduced to compu tational techniques involved with the smart grid (decision support tools and optimization)
    • Understand, standards, interoperability and cyber security
    TEXTBOOK(S)
    • James Momoh, “Smart Grid Fundamentals of Design and Analysis,” Wiley, 2012 ISBN 978­0­470‐88939‐8

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)14342
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
    Midterm Examination (1 week)122
    Final Examination(1 week)122
    Preparation for Midterm Examination13535
    Preparation for Final Examination13535
    Assignment / Homework/ Project11717
    Seminar / Presentation11717
    Total Workload: 150
    ECTS Credit (Total workload/25): 6