COURSE UNIT TITLE

: ELECTRIC POWER SYSTEM PLANNING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5127 ELECTRIC POWER SYSTEM PLANNING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING
ELECTRICAL AND ELECTRONICS ENGINEERING
ELECTRICAL AND ELECTRONICS ENGINEERING

Course Objective

Teaching the electric power system planning issues, algorithms and solutions.

Learning Outcomes of the Course Unit

1   Power system planning principles
2   Algorithms and methodologies used in power system planning
3   Formulation of power system planning problems
4   Application of optimization theory
5   Research trends in power system planning

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, power system elements and structure, power system planning basic principles
2 Optimization techniques
3 Some economic principles
4 Load forecasting
5 DC load flow
6 Midterm Exam
7 Single-bus and Multi-bus generation expansion planning
8 Substation expansion planning
9 Network expansion planning
10 Reactive power planning
11 Power system planning in the presence of uncertainties
12 Research trends in power system planning

Recomended or Required Reading

Textbook(s):
1- Hossein Seifi, Mohammad Sadegh Sepasian, Electric Power System Planning, Springer, 2011.
2- R. L. Sullivan, Power System Planning, McGraw-Hill, 1977.

Supplementary Book(s):
1- Antonio J. Conejo, Enrique Castillo, Roberto Minguez, Decomposition Techniques in Mathematical Programming: Engineering and Science Applications, Springer, 2006.
2- Kwang Y. Lee and Mohamed A. El-Sharkawi, Modern Heuristic Optimization Techniques
Theory and Applications to Power Systems, John Wiley & Sons, Inc., 2008.
3- Related published papers.

Planned Learning Activities and Teaching Methods

Lectures + homework + presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

engin.karatepe@deu.edu.tr

Office Hours

1 hour/week

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 1 8 8
Preparation for final exam 1 8 8
Preparing assignments 12 4 48
Preparing presentations 1 20 20
Design Project 1 30 30
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 198

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.125534343
LO.225534344
LO.325534344
LO.435535445
LO.525545344