电网技术2017，Vol.41Issue(2)：604-609,6.DOI:10.13335/j.1000-3673.pst.2016.1146
应用聚类分析与非参数核密度估计的空间负荷分布规律
Spatial Load Distribution Based on Clustering Analysis and Non-Parametric Kernel Density Estimation
刘思 1傅旭华 2叶承晋 2丁嘉涵 1马润泽 1黄民翔1
作者信息
- 1. 浙江大学 电气工程学院，浙江省 杭州市 310027
- 2. 国网浙江省电力公司经济技术研究院，浙江省 杭州市 310008
- 折叠
摘要
Abstract
ABSTRACT:Spatial load forecasting is precondition and foundation for distribution network planning. Existing researches focus on theoretical innovation and accuracy improvement of forecasting method, neglecting load distribution research. Based on clustering analysis and non-parametric kernel density estimation, a method of spatial load distribution is proposed. Taking Zhejiang power grid as example, spatial load research samples are classified according to a two-level partition of urban development types and land use types. Then typical load density distribution characteristics are extracted in all kinds of samples using the proposed method. Finally, industrial, commercial, residential and other spatial load distribution patterns are analyzed, providing reliable support for distribution network planning.关键词
负荷密度/核密度估计/负荷聚类/空间负荷预测/配电网规划Key words
load density/kernel density estimation/load clustering/spatial load forecasting/distribution network planning分类
信息技术与安全科学引用本文复制引用
刘思,傅旭华,叶承晋,丁嘉涵,马润泽,黄民翔..应用聚类分析与非参数核密度估计的空间负荷分布规律[J].电网技术,2017,41(2):604-609,6.
