电器与能效管理技术 ›› 2021, Vol. 0 ›› Issue (2): 31-36.doi: 10.16628/j.cnki.2095-8188.2021.02.006

• 研究与分析 • 上一篇    下一篇

基于动态时间规整的变电站综合负荷行业解析方法

杨俊1, 黄际元1, 胡湘伟1, 李人晟1, 吴东琳1, 曾林俊2   

  1. 1.国网湖南省电力有限公司 长沙供电分公司, 湖南 长沙 410015
    2.湖南大学 电气与信息工程学院, 湖南 长沙 410082
  • 收稿日期:2020-12-29 出版日期:2021-02-28 发布日期:2021-03-25
  • 作者简介:杨俊(1977—),女,高级工程师,主要从事地区电网管理工作。|黄际元(1988—),男,高级工程师,主要从事电网调度工作。|胡湘伟(1977—),女,高级工程师,主要从事电网调度工作。
  • 基金资助:
    * 国网湖南省电力有限公司科技项目(5216A120008B)

Industry Analysis Method of Substation Integrated Load Based on Dynamic Time Warping

YANG Jun1, HUANG Jiyuan1, HU Xiangwei1, LI Rensheng1, WU Donglin1, ZENG Linjun2   

  1. 1. Changsha Power Supply Company,State Grid Hunan Electric Power Co.,Ltd.,Changsha 410015,China
    2. School of Electrical and Information Engineering,Hunan University,Changsha 410082,China
  • Received:2020-12-29 Online:2021-02-28 Published:2021-03-25

摘要:

针对传统聚类算法所采用的相似度衡量方法准确度较低,导致变电站综合负荷行业解析过程中聚类算法质量及综合负荷日负荷曲线拟合度较低的问题,提出一种基于动态时间规整的变电站综合负荷行业解析方法。对日负荷曲线集进行基于动态时间归整的K-means的聚类算法,提取反映行业负荷特性的聚类中心曲线;基于动态时间归整,根据聚类中心曲线对变电站综合负荷日负荷曲线进行拟合,完成变电站行业构成比例解析。结果表明,所得聚类中心及变电站行业构成比例与实际情况相符,且在聚类质量及对变电站综合负荷曲线拟合的准确度皆优于传统方法。

关键词: 动态时间规整, 聚类, 综合负荷, 行业构成比例

Abstract:

The low accuracy of the similarity measurement method used by the traditional clustering algorithm,results in the low quality of the clustering algorithm and the low fitting degree of the comprehensive load daily load curve in the analysis process of the integrated load industry of the substation.Time-regulated analysis method of substation comprehensive load industry is proposed.Perform the K-means clustering algorithm based on dynamic time normalization on the daily load curve set,and extract the cluster center curve reflecting the industry load characteristics.Based on the dynamic time normalization,the comprehensive load daily load curve of the substation is simulated according to the cluster center curve.Together,complete the analysis of the composition ratio of the substation industry.The results show that:the clustering center and substation industry composition ratio obtained by the method is consistent with the actual situation,and the clustering quality and accuracy of fitting the comprehensive load curve of the substation are better than the traditional method.

Key words: dynamic time warping, clustering, comprehensive load, industry composition proportion

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