南方电网技术2016，Vol.10Issue(2)：70-76,7.DOI:10.13648/j.cnki.issn1674-0629.2016.02.011
基于数据驱动的母线负荷特性分析
Bus Load Characteristics Analysis Based on Data-Driven Method
摘要
Abstract
Deep analysis of the characteristics of bus load is of great significance for bus load forecasting accuracy inprovement,power network safety and stability evaluation,and demand response potential identification. A data-driven based analytical framework of bus load characteristic is proposed in this paper,which is different from traditional load ratio and peak time. On the basis of data cleaning and normalization,the analysis of the daily bus load curve is carried out by clustering algorithm based on the Mahalanobis distance . Then,based on the clustering results,four indexes,including pattern switch entropy,relative volatility,daily average load,and tem-perature sensitivity are put forward to describe bus load characteristics. Simulation results of 130 bus load data in Guangzhou show that the proposed indexes can better describe the bus load characteristics,and can achieve better classification results.关键词
母线负荷/数据驱动/聚类/K最邻近/特性分析Key words
bus load/data-driven/clustering/K-Nearest Neighbor/characteristics analysis分类
信息技术与安全科学引用本文复制引用
陈明辉,王珂,蔡莹,廖晔..基于数据驱动的母线负荷特性分析[J].南方电网技术,2016,10(2):70-76,7.基金项目
广州供电局有限公司科技项目（K-GD2012-027）。@@@@Supported by the Technical Project of Guangzhou Power Supply Bureau （K-GD2012-027）． （）
