GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SMART GRIDS/EE-386
Course Title: SMART GRIDS
Credits 3 ECTS 3
Course Semester 6 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Ability to define the concept and framework of smart grids, to reveal the differences between the traditional and smart grids.
Ability to recognize the communication systems and devices used in smart grids.
Ability to recognize and use energy management software and hardware in transmission and distribution grids
Ability to perform basic control operations such as supply-demand balance, frequency stability
Ability to perform load flow analysis in smart networks
Ability to know the basic control procedures such as supply-demand balance, frequency stability.
Ability to determine the cyber security, cyber threats and preventive actions in smart grid systems.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Introduction to Electrical Power Networks, Basic Concepts
2. Week  Modeling of power system components, Extraction of the electrical equivalent circuit
3. Week  Smart Grid Infrastructure, Comparison with Traditional Networks, Traditional SCADA Networks and Their Compatibility to Smart Grid Systems
4. Week  Protection, Monitoring and Control Devices Used in Power Generation Plants and Substations
5. Week  Protection, Monitoring and Control Devices Used in Transmission and Distribution Networks
6. Week  Communication Systems and Standards for Smart Grids
7. Week  Wireless Communication Technologies: Zigbee, Zwave, Wi-Fi, WiMax, RF
8. Week  Midterm Exam, Wired Communications Technologies PLC, Private Line etc.
9. Week  Data Processing and Analysis in Smart Grid, Monitoring and Control Software
10. Week  Basic controls in Smart Grid, Voltage and Load Frequency Control
11. Week  Basic controls in Smart Grid, Automatic Generation Control
12. Week  Load Flow Analysis in Smart Grids, Basic Formulas, Analysis Using Newton-Raphson
13. Week  Smart Fault-Short Circuit Detection and Their Analysis
14. Week  Cyber Threats to Smart Grid Communication Infrastructure, Measures to be taken.
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
35
 Assignment
1
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
1
15
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
6
1
6
 Searching in Internet and Library
5
1
5
 Material Design and Implementation
0
0
0
 Report Preparing
1
3
3
 Preparing a Presentation
1
2
2
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
1
8
8
 Final Exam and Preperation for Final Exam
1
8
8
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
75
 TOTAL WORKLOAD / 25: 
3
 Course Credit (ECTS): 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems.X
2An ability to identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose.X
3An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.X
4Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.X
5Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.X
6Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills.X
7Ability to communicate effectively in oral and written Turkish; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills.X
8Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.X
9To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.X
10Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development.X
11Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions.X
 -- NAME OF LECTURER(S)
   (Prof. Erdal IRMAK)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/erdal)
 -- EMAIL(S) OF LECTURER(S)
   (erdal@gazi.edu.tr)