面向错峰潜力分析的典型用户筛选

错峰潜力估计是精细化有序用电管理的基础。基于用户电量峰谷特征，采用模糊C-均值聚类对同行业用户进行灵活分类，再从聚类结果中依据同类用户峰谷重心和电量水平特征，筛选出该行业各类典型用户，建立了一套可用于错峰潜力分析的典型用户筛选方法。经某地36个行业实例分析，共得出146个典型用户，因篇幅所限只给出了通用及专用设备制造业的3个典型用户的筛选过程以及该行业的错峰潜力分析，结果验证了所提筛选方法的可行性与有效性。

Peak shifting potential analysis-oriented typical consumers screening

The estimate of peak load shifting potential is the foundation of fine management of orderly electric utilization. Based on the peak-valley characteristics of electricity user data, fuzzy C-means clustering is employed to classify consumers in the same industry, then the industry's typical consumers are filtered out from the clustering result according to the peak-valley weight and the annual electricity consumption of the same type of users. This provides a screening method of the typical consumers for the analysis of peak load shifting potential. A case study including 36 industries is carried out; 146 typical consumers are screened out. Due to the limited space, this paper only describes the screening process of three typical consumers and peak load shifting potential in the general and special equipment manufacturing industry. The results prove the feasibility and effectiveness of the proposed screening method.