ECTS - Advanced Power Systems Analysis

Advanced Power Systems Analysis (ME653) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Advanced Power Systems Analysis ME653 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The students will understand the stability of a power system and will be able to the dynamics of a 3-phase synchronous machine during disturbances and will be compute the stability of a machine using the equal area criteria, and perform numerical integration to solve for the dynamic solution of a perturbed system in the single and multy machine system.
Course Learning Outcomes The students who succeeded in this course;
  • 1. Learning of analyzing power systems 2. Learning of modeling enrgy systems 3. Analysing of a single and multi-machine systems.
Course Content The definitions of stability in energy systems, simulation methods, swing equation, equal area criterion, mathematical model of synchronous machines, excitation and mechanical regulator models, multi-machine system modeling, numerical methods, and stability analysis of single and multi-machine systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction
2 General Power Systems
3 Classification of Power Systems
4 Definitions of energy systems
5 Definitions of stability in energy systems
6 Simulation methods
7 Swing equation
8 Equal area criterion
9 Mathematical model of synchronous machines
10 Excitation and mechanical regulator models
11 Multi-machine system modelling, numerical methods
12 Stability analysis of a single and multi-machine systems
13 Application Work of Power Systems
14 Application Work of Power Systems

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 20
Presentation - -
Project 1 10
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 30
Toplam 6 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team X
2 Ability to evaluate research topics and comment with scientific reasoning X
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics X
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions X
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems X
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level X
7 Contribute scientific and technological advancements on engineering domain of his/her interest area X
8 Contribute industrial and scientific advancements to improve the society through research activities X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments 2 12 24
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 86