Dynamic Clustering Algorithm for Demand Side Resources of Master-slave Microgrid Based on Temporal Coordination
In order to grasp the changes in power demand,and efficiently schedule and manage power and improve resource uti-lization efficiency,a master-slave microgrid demand side resource dynamic clustering algorithm based on temporal coordination is proposed.Under the coordination of time series,the method extracts the demand side resources of the master-slave micro-grid.The objective function is to minimize the peak valley difference,load fluctuation rate,and load absorption rate of the de-mand side resources of the master-slave microgrid.The fluctuation rate of the demand side resource curve and load complemen-tary constraints of the master-slave microgrid are set,and a dynamic clustering model of the demand side resources of the mas-ter-slave microgrid is constructed.A particle swarm optimization algorithm based on dynamically adjusting inertia weights is used to solve the dynamic clustering model of demand side resources in the master-slave microgrid,achieving dynamic clustering of demand side resources in the master-slave microgrid.The experimental results show that the proposed algorithm has a good dynamic clustering effect on the demand side resources of the master-slave microgrid,and can effectively achieve reasonable uti-lization of the demand side resources of the master-slave microgrid,which improves the efficiency of dynamic clustering of the demand side resources of the master-slave microgrid.
timing coordinationmaster-slave microgriddynamically changing inertia weightsdemand side resourceparticle swarm optimization algorithmdynamic clustering of resource
万方数据
维普
