Real-Time Transient State Estimation in Smart Grids Utilizing Industrial loT Data

Industrial IoT has enabled the monitoring of one of the most complex existing CPS - the electric Grid - undergoing a de-centralized and `smart transition'. Sophisticated Advanced Monitoring Infrastructure (AMI) and sensing devices (PMUs, RTUs etc.) combined with advanced communications networking allow the monitoring of the Grid parameters while edge computing capabilities (including reconfigurable hardware) enable real time Transient State Estimation (TSE) of the grid nodes providing preventive maintenance, control and data analytics. In this work, we focus on the processing requirements of TSE and we present an FPGA-based accelerated architecture towards the mitigation of the bottlenecks imposed by the existence of remittent power assets even at the edge of the grid which degrade its performance and disturb its balance thus making the grid prone to failures.