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.
关键词
时序配合/主从微电网/动态调整惯性权重/需求侧资源/粒子群算法/资源动态聚类
Key words
timing coordination/master-slave microgrid/dynamically changing inertia weights/demand side resource/particle swarm optimization algorithm/dynamic clustering of resource
维普
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