EE451 Power System Stability
EE451 Power System Stability
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Electrical and Electronics Engineering
Course Objectives
This course starts with models of power system components and their application in the analysis of the dynamic behavior of power systems in response to small and large disturbances. It presents small signal stability, transient stability and voltage stability.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Power system control and stability, Anderson and Fouad, Wiley, 2019
Additional Literature
Power system dynamics and stability, Peter W. Sauer and M. A. Pai, Wiley, 2008.Teaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Team assigments
Team projects that involve real data, summary, interpretation and reporting
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction | Ch. 1 |
| 2 | The Classical Machine Model | Ch. 2 |
| 3 | The Classical Machine Model | Ch. 2 |
| 4 | Response of a Power Network to Disturbances | Ch. 3 |
| 5 | Modeling of Synchronous Machines | Ch. 4 |
| 6 | Modeling of Synchronous Machines | Ch. 5 |
| 7 | Modeling of Loads and Controls | Ch. 6 |
| 8 | Mid - Term | |
| 9 | Modeling of Loads and Controls | Ch. 6 |
| 10 | Multi-machine Systems | Ch. 7 |
| 11 | Multi-machine Systems | Ch. 7 |
| 12 | Small Signal Stability | Ch. 8 |
| 13 | Voltage Stability | Ch. 12 |
| 14 | Voltage Stability | Ch. 12 |
| 15 | Final Exam |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5 6
Homeworks
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5 6
Quizes
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5 6
Midterm exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5 6
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture hours
45 hours ⏳ (15 week × 3 h)
In-term exam study
10 hours ⏳ (1 week × 10 h)
Assignments
15 hours ⏳ (5 week × 3 h)
Final exam study
15 hours ⏳ (1 week × 15 h)
Active tutorials
20 hours ⏳ (10 week × 2 h)
Home study
45 hours ⏳ (15 week × 3 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [EE451] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| EE451 | Power System Stability | 3 | 2 | 6 | ||||||
| Prerequisite | EE322 | It is a prerequisite to | - | |||||||
| Lecturer | Office Hours / Room / Phone | Currently not available |
||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | This course starts with models of power system components and their application in the analysis of the dynamic behavior of power systems in response to small and large disturbances. It presents small signal stability, transient stability and voltage stability. | |||||||||
| Textbook | Power system control and stability, Anderson and Fouad, Wiley, 2019 | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Team assigments. Team projects that involve real data, summary, interpretation and reporting. | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction | Ch. 1 | ||||||||
| Week 2 | The Classical Machine Model | Ch. 2 | ||||||||
| Week 3 | The Classical Machine Model | Ch. 2 | ||||||||
| Week 4 | Response of a Power Network to Disturbances | Ch. 3 | ||||||||
| Week 5 | Modeling of Synchronous Machines | Ch. 4 | ||||||||
| Week 6 | Modeling of Synchronous Machines | Ch. 5 | ||||||||
| Week 7 | Modeling of Loads and Controls | Ch. 6 | ||||||||
| Week 8 | Mid - Term | |||||||||
| Week 9 | Modeling of Loads and Controls | Ch. 6 | ||||||||
| Week 10 | Multi-machine Systems | Ch. 7 | ||||||||
| Week 11 | Multi-machine Systems | Ch. 7 | ||||||||
| Week 12 | Small Signal Stability | Ch. 8 | ||||||||
| Week 13 | Voltage Stability | Ch. 12 | ||||||||
| Week 14 | Voltage Stability | Ch. 12 | ||||||||
| Week 15 | Final Exam | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1,2,3,4,5,6 | Not Allowed | |
| Semester Evaluation Components | |||||
| Homeworks | 5 | 20 | 1,2,3,4,5,6 | Not Allowed | |
| Quizes | 4 | 20 | 1,2,3,4,5,6 | Not Allowed | |
| Midterm exam | 1 | 20 | 1,2,3,4,5,6 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | In-term exam study | 10 | 1 | 10 | |||
| Assignments | 3 | 5 | 15 | Final exam study | 15 | 1 | 15 | |||
| Active tutorials | 2 | 10 | 20 | Home study | 3 | 15 | 45 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||