The goal of this course is understanding the stationary dependencies in electrical power systems. The course includes the development of stationary models of the electrical network, their mathematical representation and special characteristics and solution methods of large linear and non-linear systems of equations related to electrical power networks.
Learning objective
The goal of this course is understanding the stationary dependencies in electrical power systems and the application of analysis tools in normal but also in faulty state.
Content
The course includes the development of stationary models of the electrical network, their mathematical representation and special characteristics and solution methods of large linear and non-linear systems of equations related to electrical power grids. Approaches such as the Newton-Raphson algorithm applied to power flow equations, superposition technique for short-circuit analysis and symmetrical components are discussed as well as power flow computation techniques for distribution grids and state estimation.
Lecture notes
Lecture notes.
Competencies
Subject-specific Competencies
Concepts and Theories
assessed
Techniques and Technologies
assessed
Method-specific Competencies
Analytical Competencies
assessed
Media and Digital Technologies
fostered
Problem-solving
assessed
Personal Competencies
Critical Thinking
fostered
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course