GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SMART GRIDS/ESM-498
Course Title: SMART GRIDS
Credits 3 ECTS 4
Course Semester 8 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
Know the concept of smart grids; know the difference between traditional and smart grids.
Recognize the communication systems and devices used in smart grids
Recognize energy management software and hardware in transmission and distribution grids
Know basic control procedures such as supply-demand balance, frequency stability.
Can analyze load flow in smart grids.
Know cyber security and threats in smart grid systems
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Electric power grids, Basic concepts, Modeling of power system elements, Designing of electric equivalent circuits, Cutting applications
2. Week  Infrastructure of smart grids, Comparison with traditional grids, Traditional SCADA systems and smart grid compatibility, Drilling applications
3. Week  Protection, monitoring and control in production centers and transformer centers
4. Week  Protection, monitoring and control devices used in transmission systems and distribution systems
5. Week  Communication systems in smart grids
6. Week  Wireless communication technologies: Zigbee, Zwave, Wi-Fi, WiMax, RF etc.
7. Week  Wired communication technologies: PLC, special line etc.
8. Week  Data processing and analysis in smart grids, monitoring and control software
9. Week  Data processing and analysis in smart grids, monitoring and control software
10. Week  Basic controls in smart grids, maneuvers: Voltage and load frequency control
11. Week  Basic controls in smart grids, maneuvers: Automatic production control
12. Week  Load flow analysis in smart grids, Basic formulas, Analysis with Newton-Raphson method
13. Week  Smart fault-short circuit detection and analysis,
14. Week  Cyber threats for intelligent network communication infrastructure, Measures to be taken
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
60
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 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
14
1
14
 Searching in Internet and Library
14
1
14
 Material Design and Implementation
0
 Report Preparing
2
5
10
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Basic Science, Basic Engineering and Energy Systems Engineering skills in the field of engineering related to the accumulation of knowledge and ability to apply this knowledge.X
2Ability to identify, define, formulate and solve complex engineering problems; Selecting and applying appropriate analysis and modeling methods for this purpose.X
3The 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 applications of the Department of Energy Systems Engineering; The ability to use information technologies effectively.X
5Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examining problems related to Energy Systems Engineering.X
6Ability to work individually and in teams in the field of Energy Systems Engineering.X
7Effective communication and reporting skills in Turkish verbal and written, at least one foreign language knowledge.X
8Awareness of the necessity of life-long learning; Access to knowledge, ability to follow developments in science and technology, and constant self-renewal.X
9Professional and ethical responsibility.X
10Information on project management and practices in business life such as risk management and change management; Awareness of entrepreneurship, innovation and sustainable development.X
11Information on the effects of the applications of the Department of Energy Systems Engineering on health, energy, environment and safety in the universal and social dimensions and the problems of the age; Awareness of the legal consequences of Energy Systems Engineering solutions.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Şaban ÖZDEMİR)
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/sabanozdemir/contact)
 -- EMAIL(S) OF LECTURER(S)
   (sabanozdemir@gazi.edu.tr)