1. | Course Title | Software Tools and Numerical Libraries in Power Systems | |||||||||||
2. | Code | 4ФЕИТ09009 | |||||||||||
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 Mirko Todorovski | |||||||||||
9. | Course Prerequisites | ||||||||||||
10. | Course Goals (acquired competencies):
Understanding the computer modeling and simulation techniques in power systems. Capability for identification of problem types and selection of modern numerical solution procedures. Cultivating skills for independent development of computational frameworks for scientific/engineering problems using appropriate libraries. Readiness for analyses and studies in power system. |
||||||||||||
11. | Course Syllabus:
Matlab/Python/ Basics: Variables, Complex Numbers, Data Structures Control Structures, Functions, Files. Reading/Writing External Data in Various Formats (txt, csv, xlsx). Basic Numerical Operations. Floating Point Precision. Numerical Libraries: LAPACK, MINPACK (Linear Algebra and Nonlinear Equations in Matlab/GNU Octave), Matplotlib, NumPy, SciPy (Visualization, Numerical and Scientific Python). 2D and 3D Plotting. Systems of linear equations: sparse matrices, bus admittance matrix, short circuits in power system, DC transmission network model for active and reactive power. Systems of nonlinear equations: complete transmission network model – Newton-Raphson method for power flow calculations, voltage dependent loads. Special methods for weakly meshed networks analysis. Current summations, power summation and admittance summation. Power system optimization. Optimal real and reactive power flow, voltage regulation. Power transfer capabilities in power systems. Application of algebraic modeling tools in optimization problems such as YALMIP and Pyomo. Differential equations: transients in electrical circuits, characteristic problems in power system stability. Introduction to Simulink. Methods to display and process signals. Creating user models for linear and nonlinear elements in power system. Using subsystems and masks. Pandas Library for Data Analysis. Data Filtering and Sorting. Jupyter Notebooks: Editing Documents with Computer Code and Text Elements (Paragraphs, Equations, Figures, Links). Power system simulation using PSS/E and interaction with Python. |
||||||||||||
12. | Learning methods:
Lectures and recitations with presentations and simulations, teacher-student interaction, homework, projects. |
||||||||||||
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) | 60 points | |||||||||||
17.3. | Activity and participation | 0 points | |||||||||||
17.4. | Final exam | 40 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 | Participation in lectures and recitations. | |||||||||||
20. | Forms of assessment |
Student must complete and submit the required homework and project assignments, according to the schedule published at the course web site. Final mark is determined from the weighted average of scores from exams, homework, and project assignments. The use of books or notes of any kind, as well as a calculator, mobile phone, tablet or any other electronic device is allowed during the written exams. |
|||||||||||
21. | Language | Macedonian and English | |||||||||||
22. | Method of monitoring of teaching quality | Internal evaluation and questionnaires. | |||||||||||
23. | Literature | ||||||||||||
23.1. | Required Literature | ||||||||||||
No. | Author | Title | Publisher | Year | |||||||||
1. | B. Hunt, R. Lipsman, J. Rosenberg, K. Coombes, J. Osborn, G. Stuck | A Guide to Matlab for Beginners and Experienced Users | Cambridge University PressISBN 978-0-511-07792-0 | 2001 | |||||||||
2. | S. J. Chapman | MATLAB Programming for Engineers | Cengage Learning | 2019 | |||||||||
3. | David J. Pine | Introduction to Python for Science and Engineering | CRC Press | 2019 | |||||||||
23.2. | Additional Literature | ||||||||||||
No. | Author | Title | Publisher | Year | |||||||||
1. | J. W. Eaton, D. Bateman, S. Hauberg, R. Wehbring | GNU Octave – A high-level interactive language for numerical computations, Edition 6 for Octave version 6.3.0 | – | 2021 | |||||||||
2. | М. Тодоровски | Примена на Matlab во електроенергетските системи (интерна скрипта) | ФЕИТ, Скопје | 2009 |