An Operational Data-Driven Malfunction Detection Framework for Enhanced Power Distribution System Monitoring – The DeMaDs Approach

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