|Title||Reliability analysis of large-scale photovoltaic inverters|
Reliability analysis of large-scale photovoltaic inverters
The expected service life of photovoltaic systems and their components significantly determines their economic efficiency and is thus a critical factor for their use. The sudden failure of a high-power inverter usually causes significant disruptions in the connected distribution grid, e.g., due to frequency disturbances.
The need to predict the service time of an inverter led to the development of analytical models that use data provided by the manufacturer to calculate the statistically expected lifetime.
|Home institute||Department of Computing Science|
|Art der Arbeit||praktisch / anwendungsbezogen|
|Author||Jelke Wibbeke, M. Sc.|
The goal of the thesis is to calculate the expected lifetime of an inverter given its bill of materials. The results shall afterwards be compared and evaluated, using the reliability data from a set of real inverters.
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 F. Obeidat and R. Shuttleworth, “PV Inverters Reliability Prediction,” World Appl. Sci. J., vol. 35, no. 2, p. 14, 2017.
 S. J. Castillo, R. S. Balog, and P. Enjeti, “Predicting capacitor reliability in a module-integrated photovoltaic inverter using stress factors from an environmental usage model,” in North American Power Symposium 2010, Arlington, TX, USA, Sep. 2010, pp. 1–6, doi: 10.1109/NAPS.2010.5618955.
The thesis aims at students of computing science, physics, or comparable courses of study who are interested in dealing with the physics of failure of inverters. It is recommended to have previous knowledge in the area of photovoltaics. Previous knowledge in modelling and Python programming is desirable, but not mandatory. The applicant should be willing to deal with the new topic in a motivated and independent way.