A Distributed Small Water Conservancy Power Generation Cluster Partition Method Based on Improved K-means Algorithm
With the integration of large-scale distributed power sources,dividing complex distrib-uted power generation clusters into areas with lower communication dimensions and simpler control methods is an important way to achieve flexible grid connection and optimized schedu-ling of distributed power generation clusters.The article proposes a distributed small water con-servancy power generation cluster partitioning method based on the improved K-means algo-rithm,aiming to use the improved K-means algorithm to more effectively process large-scale datasets,automatically identify the best cluster partitioning,and reduce subjective intervention.Through more precise partitioning,the utilization efficiency of small water conservancy power generation can be maximized.
K-means algorithmSmall water conservancy power generationDistributedCluster partitioning
NETL
NSTL
万方数据
