Sizing Storage and Power-Line Capacities for a Two Microgrid Network using a Brownian Motion Simulation Model

Abstract

This study uses a computer simulated Brownian motion model implemented in Python to better size microgrid storage and power line capacities for a two microgrid network. This prevents resources from being wasted on profitless increases in storage and power transfer components that don’t result in a justifiable decrease in escape probability. This study shows that further increase in power line capacity after around 0.35 units, is not warranted since the escape probability doesn’t decrease by any substantial amount. If further decrease in power line capacity is desired then the storage capacity should be increased instead.