智能配电网大数据下的归一化负荷建模

Normalized Load Modeling Based on Big Data in Smart Distribution Network

本文研究用于智能配电网用电行为分析的归一化负荷建模,获取变电站综合日负荷曲线和电力用户日负荷曲线数据,对数据进行预处理,剔除无效数据,采用聚类算法进行聚类分析,建立归一化负荷模型。并基于归一化负荷建模所得区域用电特性,建立与之相匹配的配电网规划基本参数,实现配电网规划模型设计。

In the paper,the normalized load modeling method for electrical behavior analysis of smart distribution network is researched.Firstly,the integrated daily load curve of the substation and the daily load curve data of the power user are obtained.Then,the data is preprocessed,the invalid data is eliminated,and the clustering algorithm is used for cluster analysis.Finally,the normalized load model is established in this paper.Moreover,based on the regional electrical characteristics obtained by normalized load modeling,the basic parameters of the distribution network planning are established to realize the design of the distribution network planning model.