Open AccessRenewable Energy Matching to Consumer Entities Based on a Maximum Flow Model
Author(s) -
Junghoon Lee,
Gyung-Leen Park
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/752/1/012007
Subject(s) - renewable energy , computer science , microgrid , sink (geography) , grid , energy consumption , distributed computing , mathematical optimization , electrical engineering , mathematics , engineering , geometry , cartography , geography
This paper designs a renewable energy assignment scheme based on maximum flow modeling for a microgrid containing distributed energy sources and consumption entities. Between the source and the sink node of a directed graph, mainly solar generators and consumption entities are interconnected via weighted links. Weights from the source to generators are decided by the amount of solar power production while weights from consumption entities to the sink by the amount of their energy demands. In addition, weights from generators to consumers correspond to the transmission line capacity connecting two objects, each from both parties. An additional node is defined to present the energy flow contracted with the main grid and its weight can be adjusted according to the additional energy purchase. The performance measurement result obtained from a prototype implementation shows that the renewable energy is stably distributed over multiple consumers until the energy generation reaches the maximum link capacity.