基于改进K-means算法的分布式小水利发电集群划分方法  

A Distributed Small Water Conservancy Power Generation Cluster Partition Method Based on Improved K-means Algorithm

作　　者：张宇驰 刘珺斓 沈春晖 曾小勇 王艳琪 ZHANG Yuchi;LIU Junan;SHEN Chunhui;ZENG Xiaoyong;WANG Yanqi(Yunnan Power Grid Co.,Ltd,Dehong Power Supply Bureau,Mangshi,Dehong Prefecture,Yunnan 678400)

机构地区：[1]云南电网有限责任公司德宏供电局,云南德宏州芒678400

出　　处：《长江信息通信》2024年第5期16-18,共3页Changjiang Information & Communications

摘　　要：随着大规模分布式电源的接入,将复杂的分布式发电集群划分为通信维度较低、控制方式较简单的区域,是实现分布式发电集群灵活并网和优化调度的重要方式。文章提出一种基于改进K-means算法的分布式小水利发电集群划分方法,旨在利用改进K-means算法更有效地处理大规模数据集,自动识别最佳的集群划分,从而减少主观干预,通过更精确的划分,可以最大限度地提高小水利发电利用效率。With the integration of large-scale distributed power sources,dividing complex distrib-uted power gencration clusters into arcas 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 morc effectively process large-scale datasets,automatically identify the best cluster partitioning,and reduce subjective intervention.Through morc prccisc partitioning,the utilization cfficicncy of small water conscrvancy power generation can be maximized.

关 键 词：K-MEANS算法 小水利发电 分布式 集群划分 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]