Advanced Methods for Power System Planning

Објавено: June 22, 2023
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.

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.

12. Learning methods:

Creation and presentation of projects and seminary tasks.

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.

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