Software Tools and Numerical Libraries in Power Systems

Објавено: June 21, 2023
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