1. | Course Title | Advanced Methods for Power System Planning | |||||||||||
2. | Code | 4ФЕИТ09008 | |||||||||||
3. | Study program | 3-EES | |||||||||||
4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
8. | Lecturer | Dr Petar Krstevski | |||||||||||
9. | Course Prerequisites | ||||||||||||
10. | Course Goals (acquired competencies):
Introduction to advanced algorithms used in the process of transmission and distribution system planning. Ability for development and use of optimization algorithms for power system planning. |
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11. | Course Syllabus:
Load forecast in electricity networks by using stochastic models and methods based on artificial intelligence (application in Matlab). Transmission system planning: 1. Algorithms for optimal planning of transmission networks – forward, backward and hybrid method (application in Matlab); 2. Power system planning under uncertainties; 3. Algorithms for cost-benefit analyses used in the Ten-Year Network Development Plans of ENTSO-E. Distribution system planning: 1. Application of Matlab for solving Linear Optimization Problem for dimensioning and determination of topology of radial distribution networks; 2. Application of Python for solving Non-linear optimization problem for optimal distribution system planning; 3. Application of method for stochastic robust optimization in the distribution system planning process. |
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12. | Learning methods:
Creation and presentation of projects and seminary tasks. |
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13. | Total number of course hours | 180 | |||||||||||
14. | Distribution of course hours | 3 + 3 | |||||||||||
15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
16.2 | Individual tasks | 30 hours | |||||||||||
16.3 | Homework and self-learning | 30 hours | |||||||||||
17. | Grading | ||||||||||||
17.1 | Exams | 0 points | |||||||||||
17.2 | Seminar work/project (presentation: written and oral) | 70 points | |||||||||||
17.3. | Activity and participation | 0 points | |||||||||||
17.4. | Final exam | 30 points | |||||||||||
18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
from 51 to 60 points | 6 (six) (E) | ||||||||||||
from 61 to 70 points | 7 (seven) (D) | ||||||||||||
from 71 to 80 points | 8 (eight) (C) | ||||||||||||
from 81 to 90 points | 9 (nine) (B) | ||||||||||||
from 91 to 100 points | 10 (ten) (A) | ||||||||||||
19. | Conditions for acquiring teacher’s signature and for taking final exam | Finished and presented project tasks. | |||||||||||
20. | Forms of assessment |
The exam is passed by finishing and presenting 7 project tasks that bring up to 10 points each. After that, a final oral exam/presentation is performed, that brings up to 30 points. |
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21. | Language | Macedonian and English | |||||||||||
22. | Method of monitoring of teaching quality | ||||||||||||
23. | Literature | ||||||||||||
23.1. | Required Literature | ||||||||||||
No. | Author | Title | Publisher | Year | |||||||||
1. | Antonio J. Conejo | Investment in Electricity Generation and Transmission – Decision Making under Uncertainty | Springer | 2016 | |||||||||
2. | H. Seifi, M. S. Sepasian | Electric Power System Planning – Issues, Algorithms and Solutions | Springer | 2011 | |||||||||
23.2. | Additional Literature | ||||||||||||
No. | Author | Title | Publisher | Year | |||||||||
1. | Ramteen Sioshansi Antonio J. Conejo | Optimization in Engineering – Models and Algorithms | Springer | 2017 | |||||||||
2. | CIGRE, WG C1.39 | TECHNICAL BROCHURE Optimal power system planning under growing uncertainty | CIGRE | 2020 | |||||||||
3. | ENTSO-E | Ten-Year Network Development Plan 2021 | ENTSO-E | 2021 |