COURSE UNIT TITLE

: COMPUTER-AIDED POWER SYSTEM PLANNING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5125 COMPUTER-AIDED 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

ASSOCIATE PROFESSOR ENGIN KARATEPE

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING
ELECTRICAL AND ELECTRONICS ENGINEERING

Course Objective

Teaching the system modeling and matrix analysis of power networks and applications of numerical methods and computer methods to the solution of a variety of problems related to the design and operation of electric power systems.

Learning Outcomes of the Course Unit

1   Mathematical methods in power system analysis
2   Modelling of electric power system components
3   Power flow problems
4   Analysis of electric power networks
5   Optimal power flow problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, Network components and models
2 Algorithms for formation of network matrices
3 Power flow methods
4 Three-phase networks
5 AC-DC power flow
6 Midterm Exam
7 Faulted system studies
8 Basic model of power system stabilities
9 Analysis of harmonic power flow
10 Classic economic dispatch
11 Security-constrained economic dispatch, Multi-area system economic dispatch
12 Unit commitment

Recomended or Required Reading

1- J. Arrillaga J. And C. P. Arnold, Computer Analysis of Power Systems, John Wiley & Sons, 1990.
2- Jizhong Zhu, Optimization of Power System Operation, John Wiley & Sons, Inc., Hoboken, New Jersey, 2009.
Supplementary Book(s):
1- Stagg G.W. and El-Abiad A.H., Computer Methods in Power System Analysis, McGraw-Hill,1968.
2- U.G. Knight, Power Systems Engineering and Mathematics, Pergamon Press, 1972.
3- Ramasamy Natarajan, Computer-Aided Power System Analysis, Marcel Dekker Inc., 2002.
4- Related published papers.

Planned Learning Activities and Teaching Methods

Lectures + homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRJ PROJECT
3 MTE MIDTERM EXAM
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE ASG* 0.15 + PRJ * 0.20 + MTE * 0.30 + FIN * 0.35
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) ASG* 0.15 + PRJ * 0.20 + MTE * 0.30 + RST * 0.35

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
Final 1 3 3
Midterm 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.154433
LO.255434
LO.354434
LO.454445
LO.554434