基于模糊C均值聚类算法的区域用电特征分析

某区域内电力用户的用电行为往往会影响该区域电力公司的负荷调度以及分时电价等重要问题的决策.为使得这些决策更符合该区域的实际情况,必须对该区域的用电特征进行分析.针对这一问题,提出了一种基于聚类算法的区域用电特征分析方法.采用模糊C均值算法并结合K-means算法,按照某区域的电力用户分布情况,将数据样本聚类为居民区电力用户、商业区电力用户和工业区电力用户3个类簇,并结合该地区实际用电情况,对得到的类簇负荷曲线进行了分析,得出了该区域不同类型电力用户的用电特征.

Fuzzy C-means Clustering-based Algorithm for the Analysis of Regional Electric Power Characteristics

The electricity behavior of power users in some area tends to affect the power load dispatching, time-sharing electricity price, and some other important problems on decision-making. It is necessary to analyze the regional electric-using characteristics to insure all this decision suitable for the local situation. Toward this problem, this paper puts forward the analysis method of regional electric-using characteristics on clustering algorithm. The experiment adopts the fuzzy c-means algorithm and K-means algorithm, and according to the distribution of power users in certain area, this paper clusters the sample data for residential electricity users, commercial power users and industrial power users three kinds of clusters. And connecting with the actual electric consumption situation in the region to analyze the load curve, it is concluded that the area electricity characteristics and the results of the analysis of different kinds of power users.