GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MICROGRID DESIGN AND OPTIMIZATION TECHNIQUES/5411330
Course Title: MICROGRID DESIGN AND OPTIMIZATION TECHNIQUES
Credits 3 ECTS 7.5
Course Semester 2 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
To have knowledge about microgrid systems
To have theoretical knowledge about Microgrid structures and topologies
To be informed about the transfer of the energy produced by the microgrid to the grid using the most appropriate control and optimization methods
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Energy, Fossil fuels, State of energy resources, Global warming, Status of electric power system, Status of renewable energy sources (PV, wind, geothermal, biomass).
2. Week  Structure and topologies of micro grids, Mathematical analysis of micro grid structure, AA micro grid, DA micro grid, AA-DA hybrid micro grids.
3. Week  Control strategies of micro grids, Primary control, Secondary control, Tertiary control.
4. Week  Structure and modeling of wind energy system, structure and modeling of PV energy system.
5. Week  Types, structure and modeling of battery energy storage unit, Diesel generator modeling.
6. Week  Use and modeling of other alternative sources in micro grid.
7. Week  Modeling of hybrid PV / wind / battery / diesel power system.
8. Week  PV power system micro grids and simulation applications. Midterm exam.
9. Week  Wind energy supported micro grids and simulation applications.
10. Week  Control management in micro grids, Protection and control of micro grids, Control approaches in micro grids (centralized, decentralized and distributed)
11. Week  Energy management in micro grids, Demand response and demand side management, Home energy management system, Intelligent support infrastructure
12. Week  Optimal sizing and importance in micro grids.
13. Week  Technical and economic analysis of micro grids.
14. Week  Micro grid simulation application with analyses programs.
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
5
10
 Application
1
10
 Projects
2
10
 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
3
42
 Searching in Internet and Library
10
4
40
 Material Design and Implementation
6
3
18
 Report Preparing
3
6
18
 Preparing a Presentation
0
 Presentation
3
4
12
 Midterm Exam and Preperation for Midterm Exam
1
13
13
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.X
2To complete and implement limited or incomplete data by using the scientific methods. To stick knowledge of different disciplinarians togetherX
3To consolidate engineering problems, develop proper method to solve and apply innovative solutions.X
4To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or processX
5To have comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6To design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.X
7High level ability to define the required information, data and reach, assess.X
8To lead multi-disciplinary teams to take responsibility to define approaches for complex situations.X
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.X
11Awareness at new and developing application of profession and ability to analyze and study on those applications.X
12To interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.X
13Ability for effective oral and official communication skills in Turkish Language.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Mehmet DEMIRTAS)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/mehmetd)
 -- EMAIL(S) OF LECTURER(S)
   (mehmetd@gazi.edu.tr)