Renewable energy allocation based on maximum flow modelling within a microgrid

This paper designs an energy allocation scheme based on maximum flow modeling for a microgrid containing renewable generators and consumer facilities. Basically, the graph consists of set nodes representing consumers or as well weighted links amount generation, consumer-side demand, transmission cable capacity. The main idea lies in that special node is added to account interaction with grid two-pass executed. In first pass, solver decides insufficiency thus how much purchase from grid. second pass runs again fill lack calculates surplus generation. performance measurement result obtained prototype implementation shows generated stably distributed over multiple until generation reaches link