铁道标准设计Issue(1)：148-150,151,4.DOI:10.13238/j.issn.1004-2954.2016.01.033
基于K-means聚类算法的城市轨道交通车站配电变压器容量计算新方法
New Method for Urban Rail Transit Station Distribution Transformer Capacity Calculation Based on K-means Clustering Algorithm
魏海洋1
作者信息
- 1. 铁道第三勘察设计院集团有限公司，天津 300142
- 折叠
摘要
Abstract
At present, the traditional calculation method of urban rail transit station distribution transformer capacity is a demand coefficient method. However, the results of this method fail to meet the actual operational requirements. In this paper, the K-means clustering algorithm is used based on the analysis of historical data of operating stations and a standard load curve is formed with reference to the new designed power of station equipment to determine the capacity of the new transformer station. Using this new method significantly improves the transformer load matching rate between calculation results and actual operation load and greatly reduces the calculation capacity of distribution transformers, thereby significantly reduces the one-time investment and operating costs of distribution system.关键词
城市轨道车站/K-means聚类算法/配电变压器/容量计算Key words
Urban rail transit/Traffic/K-means clustering algorithm/Distribution transformer/Capacity calculations分类
交通工程引用本文复制引用
魏海洋..基于K-means聚类算法的城市轨道交通车站配电变压器容量计算新方法[J].铁道标准设计,2016,(1):148-150,151,4.
