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Control of Sensorless Grid Connected Power Converters


M. Preindl

Semester/Bachelor Thesis, SS 09

This project is part of a large research project of model predictive control (MPC) in power converter applications. In order to show advantages of MPC a scaled model of a grid connected converter, with a nominal power in the order of 1kW was planned. Subject of this project is the inverter connected to the grid, the grid connection and the relative control issues. In this project existing hardware i.e. inverter, DSP-board, transformer, should be used, which must be connected and afterwards tested with a conventional control algorithm. The goal is to compare a cascade vector control algorithm in dq-coordinates with a direct MPC algorithm [1] in order to show advantages and disadvantages of the concepts. The control algorithm developed in this project should provide a benchmark reference. Moreover a reasonable trade-o of installed sensors should be determined. Advantages of sensor-less control are reliability and cost considerations which are obtained with a loss of precision. Due to the large di usion of distributed power generation, above all of wind power, the behaviour in non-ideal conditions i.e. grid faults becomes more and more important. In a rst analysis a better understanding of symmetrical and unsymmetrical faults on the system and the possible power transfer should be obtained. Afterwards a simulation of the developed control algorithm should show its behavior in the fault conditions, where rst and foremost the sensor-less parts must show their dependability. In 2 the hardware setup and the hardware, which has been build in this project is shown. In 3 is shown the developed simulation model for testing the developed control and estimators. Their development is shown in 4. During the project the author also studied the principles of MPC and thus in 5 is given a introduction. The fault analysis and the correlated simulations are shown in 6. 1


Type of Publication:

(13)Semester/Bachelor Thesis

S. Mariéthoz

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2009:IFA_3398
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