  The changes in the electric energy system toward a sustainable future are
inevitable and already on the way today. This often entails a change of
paradigm for the electric energy grid, for example, the switch from central to
decentralized power generation which also has to provide grid-supporting
functionalities. However, due to the scarcity of distributed sensors, new
solutions for grid operators for monitoring these functionalities are needed.
The framework presented in this work allows to apply and assess data-driven
detection methods in order to implement such monitoring capabilities.
Furthermore, an approach to a multi-stage detection of misconfigurations is
introduced. Details on implementations of the single stages as well as their
requirements are also presented. Furthermore, testing and validation results
are discussed. Due to its feature of being seamlessly integrable into system
operators' current metering infrastructure, clear benefits of the proposed
solution are pointed out.
