Integrated Power and DevicetoDevice (D2D) Communications Simulator for Future Power Systems We present a simulator constructed in MatlabSimulink used to simulate power systems and the underlying communication system, i.e., devicetodevice (D2D) communication protocol stack of Long Term Evolution (LTE). The simulator is built using Matlabxe2x80x99s LTE System Toolbox, SimEvents, and Simscape Power Systems in addition to an inhouse developed interface software to facilitate D2D communications in smart grid applications. To test our simulator, we demonstrate a simple fault location, isolation, and restoration (FLISR) application to show that the LTE message timing is consistent with the relay signaling in the power system. Moreover, it was demonstrated that communication failures occurred in the FLISR simulation when the signal to interference plus noise ratio (SINR) of received messages ranged from 2 to 6 dB, which is consistent with the D2D throughput conformance testing results available in Matlab LTE System Toolbox documentation.

Leveraging Mobile Edge Computing on Smart Grids Using LTE Cellular Networks Given the advance of the Smart Grid technology, the electrical grid is now in a process of transformation never seen in history. This new grid model allows customers and providers to generate and manage electrical power efficiently. To support such transformation, a key element of the model is the communication network responsible for delivering measurement data from sensors on the grid to the applications that analyze and adapt distribution according to demands. This work proposes and evaluates a system architecture that copes with reliability and latency demands that are of much importance for a successful Smart Grid deployment, also considering the internal design of distributed applications in the context of Smart Grids. The architecture adopts a Mobile Edge Computing based infrastructure that is suitable for 4G and 5G mobile cellular networks. Experiments made on NS3 shows that the proposed system architecture is capable of handling a realistic number of smart meters while providing low latency and network reliability, supporting many use cases of a Smart Grid deployment.