EEE631 Advanced Electrical Distribution SystemsIstanbul Okan UniversityDegree Programs PhD in Mechatronic Engineering (English) with a bachelor's degreeGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
PhD in Mechatronic Engineering (English) with a bachelor's degree
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

General course introduction information

Course Code: EEE631
Course Name: Advanced Electrical Distribution Systems
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
PhD TR-NQF-HE:8. Master`s Degree QF-EHEA:Third Cycle EQF-LLL:8. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. ÖMER CİHAN KIVANÇ
Course Lecturer(s):
Course Assistants:

Course Objective and Content

Course Objectives: Explanation of the optimum design criteria of electrical distribution systems.
Course Content: Distribution system planning / Present distribution system planning techniques / Distribution system planning models / Factors affecting distribution system planning / Load characteristics / Load forecasting / Load density / Design of subtransmission lines and distribution substations / Radial type primary feeders / Loop type primary feeders / Substation service area with n primary feeders / Primary feeder loading / Radial feeders with uniformly distributed load / Radial feeders with nonuniformly distributed load / Optimum design criterions of underground primary feeders / Optimum feeder design of a given load level / The affects of load characteristics on the optimum feeder design.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) The Students will be able to have the professional knowledge and ethical responsibility
Field Specific Competence
1) The Students will be able to apply the knowledge and ability to continually innovating research, analysis and synthesis
2) The Students will be able to select and use the necessary tools for applications.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Distribution system planning. Course Notes
2) Present distribution system planning techniques. Course Notes
3) Distribution system planning models. Course Notes
4) Factors affecting distribution system planning. Course Notes
5) Load characteristics. Course Notes
6) Load forecasting, load density. Course Notes
7) Design of subtransmission lines and distribution substations. Course Notes
8) Loop type primary feeders. Course Notes
9) Primary feeder loading, radial feeders with uniformly distributed load. Course Notes
10) Radial feeders with nonuniformly distributed load. Course Notes
11) Optimum design criterions of underground primary feeders. Course Notes
12) Optimum feeder design of a given load level. Course Notes
13) Applications Course Notes
14) Applications Course Notes

Sources

Course Notes / Textbooks: T. A. Short, “Electric Power Distribution Equipment and Systems”, 2006.
Anthony j. Pansini, “Guide to Electrical Power Distribution Systems”, CRC Pres, 2005.
T. Gönen, “Electric Power Distribution System Engineering”, McGraw-Hill Book Company, 1986.
Westinghouse Electric Corporation, “Electric Utility Engineering Reference Book-Distribution Systems”, 1965
References: T. A. Short, “Electric Power Distribution Equipment and Systems”, 2006.
Anthony j. Pansini, “Guide to Electrical Power Distribution Systems”, CRC Pres, 2005.
T. Gönen, “Electric Power Distribution System Engineering”, McGraw-Hill Book Company, 1986.
Westinghouse Electric Corporation, “Electric Utility Engineering Reference Book-Distribution Systems”, 1965

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Learning Activity and Teaching Methods

Lesson
Project preparation
Application (Modelling, Design, Model, Simulation, Experiment etc.)

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Individual Project

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 50
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Project 1 175 175
Final 1 80 80
Total Workload 297