Smart Grid Reliability Computation - A Solution to Ageing Infrastructure in Power Grid Networks

Ageing infrastructure in the electricity grid network has been a major impeding factor to the power system growth, expansion, and upgrade. Network reliability has greatly affected the potential transition to a smarter grid design. In this paper, a novel smart grid reliability computation that maps the generation, transmission, and distribution into an automated controller is presented. The system supports hybrid gamma-based energy sources including the transmission and distribution network layers while simplifying complex grid automation. Monte Carlo method and Crammer’s rule are employed for reliability computation. Results of smart grid reliability validation with a designed distributed Cloud network, (DCCN), DCell and BCube are used to test the network reliability. Also, a proof-of-concept setup is developed using light C++ code scripts on the PIC18F4550 8-bit chipset at the monitoring zone for load points reliability housekeeping.