Course Overview

1. Grid analysis and security assessment.

This module contains lectures that cover an introduction to power flow analysis and how it can be implemented in a Python program, and an introduction to power system security assessment. The lectures provide the background theory and methods that students need to implement and apply in the first hand-in assignment, with the focus on load flow and contingency analysis.

2. Symmetrical and unsymmetrical fault analysis.

This module contains lectures that introduce fault analysis including symmetrical component transformation and its application to unsymmetrical fault analysis.

3. Result verification in PowerFactory

This module introduces Python as a tool to automate calculations and processes in commercially available software, using PowerFactory as an example. In the final project, students utilize the built-in functionalities available in PowerFactory to control system parameters and execute software functions through the Python interface. Within this project, students conduct load flow analysis, security assessment, and fault calculation in PowerFactory, and compare the results of the commercial software with those obtained from the Python program developed in previous modules. Students are expected to identify and explain potential differences between the outcomes produced by the two programs.

Main Goal

The aim of the course is to give the students the necessary background knowledge of the general methods used in static power grid analysis including power flow and fault analysis. The students obtain the ability to model and solve the basic operational issues and analyze a power system under faulty conditions.

Skills To Be Gained

Gain skills in simulation of power flow, fault analysis and contingency analysis.

Practical Notes

Contact details: gyyan@dtu.dk