IAI 05-19 Bachelor or Master Thesis: Development of an analysis strategy - Location sensitivity of power grid frequency estimation
The Institute of Automation and Applied Informatics (IAI) develops new methods and tools for the characterization of power gird behavior, modelling and simulation. Special attention is drawn to the grid frequency due to its importance to grid dynamics. For long sections of data we could just “count zero crossings” and average. However, within one period, the frequency cannot be measured directly, but needs to be estimated. The estimation result and quality is influenced by the signal properties (distortion). Because different locations in the grid show different distortion characteristics, the frequency measurement also has a location sensitivity.
The first objective of this thesis is a theoretical and experimental analysis of the dependency of Instantaneous Frequency methods and the related Phasor estimation methods with regard to the signal properties in time and frequency domain. The results should then be used to develop and set up an analysis of measurement location sensitivity using real-world data, which are available at our institute.
Specific tasks are:
- Literature review focusing on Instantaneous Frequency and the related phasor estimation techniques
- Analysis of the dependency btw. frequency estimation and the signal properties + practical experiments with synthetic signals using MATLAB
- Development and implementation of an analysis on measurement location dependency of frequency estimation using real-world data.
We are looking for a highly self-motivated student in the field of energy engineering, electrical engineering, computer science or related. Knowledge and prior exposition to signals & system theory as well as MATLAB are a requirement.
Institute for Automation and Applied Informatics (IAI)
as soon as possible
limited to 4-6 month, dependent on faculty regulations
Contact person in line-management
Mr. Richard Jumar, Phone: 0721/608-22881 (firstname.lastname@example.org) Dr. Heiko Maaß, Phone: 0721/608-22269 (email@example.com)
Please apply online using the button below for this vacancy number IAI 05-19.
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