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IAI 02-19 Master- or Bachelor Thesis: FPGA based precision clock hold over designs and GPS disciplined clock for power grid measurement systems

Category

Final Thesis (Bachelor and Master Thesis)

Job description

The Institute of Automation and Applied Informatics (IAI) develops new methods and tools for the characterization of power gird behavior, modelling and simulation.

We have developed a recording system that uses the GPS-PPS (Pulse per second) signal to synchronize distributed measurements to the micro second level. With this tight synchronization we can overlay samples from different locations directly, so that the system acts a distributed oscilloscope – with all the fascinating signal evaluation possibilities.

For the next generation we are moving towards our own FPGA-based design to increase sampling rate and preprocessing capabilities. Therefore, we need to investigate methods to realize a precise GPS-based time stamping for an acquisition system based on a Xilinx Zynq XC7 SystemOnChip. Special attention is needed for situations where GPS reception is lost and the local clock needs to hold-over the timing information (and for the resynchronization).

The students’ tasks are to familiarize her/himself with the basics of FPGA technology, study the existing solution for GPS-PPS-synchronization acquisition systems, develop synchronization concept(s) for an FPGA based acquisition system, implement the most suitable solution on an available test platform, and demonstrate the principle of operation.

The scope of the work can be slightly adjusted to fit the personal qualification and the desired academic degree.

Personal qualification

We are looking for a self-motivated student in the field of electrical engineering, computer science or related. Knowledge and prior exposition to FPGAs is not a necessity but preferred. The applicant needs to have hands-on experience either in electronics or programming and strong ‘problem solving’ skills.

 

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IAI 03-19 Bachelor Thesis: Cross platform GUI for a high performance power grid data acquisition system

Category

Final Thesis (Bachelor and Master Thesis)

Job description

The Institute of Automation and Applied Informatics (IAI) develops new methods and tools for the characterization of power gird behavior, modelling and simulation.

To the end of data acquisition, we have developed a device for recording signals in the electrical power grid that works like an oscilloscope but also features true raw data storage and wide area synchronization. For the next iteration step aim at shirking size and reducing cost while maintaining performance and including new evaluation features. Therefore we will move to a System-On-Chip solution combining an FPGA for real-time tasks and a MCU running a Linux OS for the user interface and network connection.

The student’s task is to develop a touch-enabled GUI for the acquisition system using a cross platform library of his/her choice. First step will be the careful analysis of the predecessor from technical and user-experience perspective especially taking into account the specifics of synchronized power and power quality measurements.

Specific tasks are:

Study of existing GUIs for comparable devices. Literature review on comparable existing solutions.

Analysis of the requirements for the GUI taking the given constraints into account.

Development of interface between the calculation modules and the GUI, the GUI itself and new Visualization features. Structuring the list of possible features and assigning priorities.

Implementation (in part or fully), test, and evaluation.

Personal qualification

We are looking for a highly self-motivated student in the field of computer science, electrical engineering, or related. Some programming experience is required. Previous exposition to GUI development is preferred but not mandatory. Knowledge of the fundamentals of electrical engineering will help but is optional. Languages: English or German.

 

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IAI 01-19 Master Thesis: A Generic Microservice-based Framework for Scheduling of Distributed Energy Resources Using Population-based Metaheuristics

Category

Final Thesis (Bachelor and Master Thesis)

Job description

In this thesis, a new concept to schedule DERs based on forecasting and the results of related simulators will be developed. The framework introduced in [1] will be adapted to carry out the  equired tasks based on two cutting-edge technologies, namely containers and microservices. The EA GLEAM (General Learning Evolutionary Algorithm and Method) [2] will be used to obtain the desired results.

Personal qualification

Student of computer science, electrical engineering or related disciplines

 

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