  The management of distributed and heterogeneous modern power networks
necessitates the deployment of communication links, often characterized by
limited bandwidth. This paper presents an event detection mechanism that
significantly reduces the volume of data transmission to perform necessary
control actions, using a scalable scheme that enhances the stability and
reliability of power grids. The approach relies on implementing a linear
quadratic regulator and the execution of a pair of Luenberger observers. The
linear quadratic regulator minimizes the amount of energy required to achieve
the control actions. Meanwhile, the Luenberger observers estimate the
unmeasured states from the sensed states, providing the necessary information
to trigger the event detection mechanism. The effectiveness of the method is
tested via time-domain simulations on the IEEE 13-node test feeder interfaced
with inverter-based distributed generation systems and the proposed
observed-based event-triggered controller. The results demonstrate that the
presented control scheme guarantees the bounding of the system states to a
pre-specified limit while reducing the number of data packet transmissions by
39.8%.
