The Optimization Of Distributed Energy Sharing Problem In Microgrid

The sharing economy is a typical optimization problem about the distribution of idle resources.With the development of Internet technology,sharing economy has risen rapidly.This type of optimization problem has become a research hotspot for most scholars.This article focuses on the energy sector and aims to optimize distributed energy in microgrids.Based on the idea of optimization,this paper combines the idea of sharing economy with new energy management technologies(such as energy Internet,smart meters,etc.),and designs a variety of distributed energy sharing optimization modes,including the matching model based on maximum matching algorithm,and the two-party contract sharing optimization mode,the two-party matching sharing optimization mode,and the multi-party sharing optimization mode based on multi-agent model.In addition,numerical simulation experiments were conducted based on two types of sharing optimization modes to explore the effectiveness and robustness.Different from the existing research,the main innovations of this paper are as follows:In terms of theoretical research,combined with the optimal idea of sharing economy and energy management technology to build a framework for distributed energy sharing optimization systems.(1)Establishing a matching model for energy sharing systems to locally optimize distributed energy systems;(2)Designing three distributed energy sharing optimization modes,such as the two-party contract sharing optimization mode,the two-party matching sharing optimization mode and the multi-party sharing optimization mode.In terms of methodological research:(1)Matching the users in the system based on the maximal matching algorithm to obtain the final matching result,and realize the optimization of the distributed energy system;(2)Building a variety of distributed energy sharing optimization based on multi-agent modes to effectively describe the behavioral decisions of individual entities in an energy sharing optimization mode to achieve optimization of distributed energy systems.