基于用电行为综合指标的用户负荷分类研究

Research on User Load Classification Based on Synthetic Index of Electricity Consumption Behavior

用户负荷分类研究是需求侧响应、负荷特性分析以及负荷预测的基础。提出一种综合考虑用户的实际信息(如收入水平、房屋面积、节能环保意识等)与用电负荷信息对用户进行分类的方法。首先通过统计的方法从用户综合信息中提取出若干特征指标,并运用层次分析法确定了指标的权重,得到一套用户评价体系,并根据评价结果对用户进行初分类。在初分类的结果下,对每类用户的用电负荷从季节变化和工作日与否的两个角度运用Kmeans进行二次聚类分析。最后,选用了标杆分析的方法对各类用户用电模式和参与需求响应的潜力进行了分析。

The research of user load classification is the basis of demand side response, load characteristic analysis and load forecasting. The paper proposes a method of classifying the users based on the user＇ s real information such as income level, housing area, energy saving and environmental protection consciousness, as well as electricity consumption behavior. Firstly, some characteristic indexes arc extracted from the comprehensive user information by means of statistical method, and the index weight is determined by analytical hierarchy process. Meanwhile, a set of evaluation system is obtained, and the users are classified according to the evaluation results. Then using the results of the initial classification, the secondary cluster analysis is carried out for the electricity load of each kind of user using K-means by considering both seasonal change and working days and non-working days. Finally, a benchmarking method is used to analyze the power consumption mode of various users and the potential of participating in the demand response.