GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SIGNAL PROCESSING IN POWER SYSTEM/5961306
Course Title: SIGNAL PROCESSING IN POWER SYSTEM
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
Gain the basics of power quality
Gain the knowledge on the usage of signal processing for power quality applications
Gain the ability to use the signaş prcessing tools for power quality analysis
Gain knowledge on smart grids
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  BASIC CONCEPTS: Need for signal processing for power applications, power quality and power monitoring.
2. Week  DEFINITIONS and STANDARDS: Definitions of power quality disturbances and events, IEEE and IEC Standards for Power Quality Events.
3. Week  ORIGINS OF DISTURBANCES AND EVENTS: Voltage magnitude, frequency, voltage unbalance, light flicker, harmonics, interharmonics, interruptions, voltage
4. Week  ANALYSIS METHODS: Estimation of Harmonics and Interharmonics
5. Week  ANALYSIS METHODS: Estimation of Harmonics and Interharmonics
6. Week  ANALYSIS METHODS: Computation of Flicker
7. Week  ANALYSIS METHODS: Frequency, voltage magnitude, unbalance, power quality events
8. Week  Midterm Exam
9. Week  ANALYSIS METHODS: Power quality indices
10. Week  CHARACTERIZATION OF POWER QUALITY EVENTS
11. Week  CLASSIFICATION OF POWER QUALITY EVENTS
12. Week  POWER QUALITY PROBLEMS: Point of Common Coupling, Harmonics and Flicker Contributions
13. Week  MONITORING OF POWER: Commercial devices, Introduction to National Power Quality Project of Turkey
14. Week  WORKSHOP: Presentation of students about the papers on signal processing of power system applications. Each student will select a paper on the 11th we
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
5
10
 Application
0
0
 Projects
1
20
 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
2
28
 Weekly Tutorial Hours
14
1
14
 Reading Tasks
14
3
42
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
5
5
25
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
20
20
 Final Exam and Preperation for Final Exam
1
30
30
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Attains knowledge through wide and in-depth investigations his/her field and surveys, evaluates, interprets, and applies the knowledge thus acquired.X
2Has a critical and comprehensive knowledge of contemporary engineering techniques and methods of application.X
3By using unfamiliar, ambiguous, or incompletely defined data, completes and utilizes the required knowledge by scientific methods; is able to fuse and make use of knowledge from different disciplines.X
4Has the awareness of new and emerging technologies in his/her branch of engineering profession, studies and learns these when needed.X
5Defines and formulates problems in his/her branch of engineering, develops methods of solution, and applies innovative methods of solution.
6Devises new and/or original ideas and methods; designs complex systems and processes and proposes innovative/alternative solutions for their designX
7Has the ability to design and conduct theoretical, experimental, and model-based investigations; is able to use judgment to solve complex problems that may be faced in this process.X
8Has the oral and written communication skills in one foreign language at the B2 general level of European Language Portfolio.X
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Can present the progress and the results of his investigations clearly and systematically in national or international contexts both orally and in writingX
11Knows social, environmental, health, safety, and legal dimensions of engineering applications as well as project management and business practices; and is aware of the limitations and the responsibilities these impose on engineering practices.X
12Commits to social, scientific, and professional ethics during data acquisition, interpretation, and publication as well as in all professional activitiesX
 -- NAME OF LECTURER(S)
   (Prof. Özgül SALOR-DURNA)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/salordurna)
 -- EMAIL(S) OF LECTURER(S)
   (salordurna@gazi.edu.tr)