Modern communication mechanisms
are at the heart of a Smart Grid
system to ensure that the required
information is transmitted within
various components of the Electric
Grid. Throughout this Master Thesis,
we have studied how communication
performance and Smart Grid
Controllers effects the overall Smart
Grid operation with focus on time
and requirements to the network.
For this we have implemented a network
simulation using OMNeT++ to
study smart grid network traffic and
use the collected data to train a resource
allocation learning algorithm
implemented in Matlab. The method
will enable us to have a real number
evaluation of the choice of timing
requirements for the communication
network and the controller by taking
into account the constraints present
on the system.