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A power grid has to ensure high voltage quality, i.e., the voltage should be stable at all times. Poor voltage quality stresses all connected devices, leading to damage, misbehavior, and accelerated aging. So-called Smart Transformers (ST) can prevent blackouts in the case of a problem in a higher voltage grid. STs need information about the “voltage sensitivity”, i.e., how a newly added or removed node or the change of the signal formed voltages will change the grids voltage. To measure voltage sensitivity, STs periodically introduce targeted disturbances into the electricity grid. Observing the resulting voltage change gives indications about the voltage sensitivity. The goal of my thesis is, to find out if it is possible to predict the Voltage Sensitivity with feeding less (or even no) disturbances into the grid.
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