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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
PhD in Electrical Engineering
Course Catalog
http://eee.ktu.edu.tr/eng/default_eng.aspx
Phone: +90 0462 3253154 , 3772906
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / PhD in Electrical Engineering
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ELK7131Power System Optimizations3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Group study, Practical
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-LecturerNone
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
To teach how to analyse and operate power systems economically.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Learn power generation units1,3,7,9,10,11,12,131,3,6
PO - 2 : Model and calculate power transmission losses,1,3,7,9,10,11,12,131,3,6
PO - 3 : Model and simulate economic dispatch.1,3,7,9,10,11,12,131,3,6
PO - 4 : Model the power systems for economic dispatch problem.1,3,7,9,10,11,12,131,3,6
PO - 5 : Develope softwares to solve the dispatch problem.1,3,7,9,10,11,12,131,3,6
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Power generation units, power transmission losses, economic dispatch, modeling of power systems for economic dispatch problem. Solution of dispatch problem.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Review of power flow analysis.
 Week 2Steady-state security region analysis.
 Week 3Security-constrained economic dispatch.
 Week 4Multi-area system economic dispatch.
 Week 5Unit commitment
 Week 6Optimal power flow.
 Week 7Reactive power (VAR) optimization.
 Week 8Optimal load shed, optimal reconfiguration of distribution network.
 Week 9Mid-term exam
 Week 10Power system uncertainty analysis.
 Week 11Power system sensitivity analysis.
 Week 12Analytic hierarchical process, neural network, fuzzy set theory, genetic algorithm, evolutionary programming, and particle swarm optimization, among others.
 Week 13New topics such as the wheeling model, multi-area wheeling, the total transfer capability computation in multiple areas, reactive power pricing calculation.
 Week 14Other topics.
 Week 15Other topics.
 Week 16End-of-term exam
 
Textbook / Material
1Altas, İ.H., Ders ve Sunum Notları, Basılmamış, KTÜ
 
Recommended Reading
1Gungor, B.R., Power Systems, Harcourt Brace Jovanovich, Inc.
2Saadat, H., 1999; Power System Analysis, McGraw Hill Book Company, .
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 2 30
Project 14 10 10
Homework/Assignment/Term-paper 14 10 10
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 13 39
Sınıf dışı çalışma 4 10 40
Arasınav için hazırlık 2 7 14
Arasınav 2 1 2
Ödev 3 13 39
Proje 3 13 39
Dönem sonu sınavı için hazırlık 2 14 28
Dönem sonu sınavı 2 1 2
Total work load203