Micro Grid Scheduling Method Based on DAR-PSO Load Matching Strategy

In order to improve the stability and economy of the power system after the grid connection of distributed energy, the “load similarity” feature is introduced to improve the clustering algorithm. The power and heat loads are divided into different time levels according to the daily load demand and other indicators, and the power of the distributed unit is matched according to the power and heat load supply and demand relationship corresponding to different levels of load. The idea of “Destroy And Repair in Particle Swarm Optimization” (DAR-PSO) was introduced to optimize the scheduling optimization model of micro grid. Based on the DAR-PSO load matching strategy, compared with the conventional strategy, the power load supply and demand deviation rates decreased by 2.03%, 2.37% and 2.88% in different load stages, and the heat load supply and demand deviation rates decreased by 1.15%, 2.51% and 1.64%, respectively. The total operation benefits of micro grid were increased by 1.40%, 6.15% and 3.86% respectively, which improved the economic benefits of micro grid operation.