计及温度区间的电网负荷典型日筛选方法研究

Research on the Typical Day Screening Method for Grid Load Considering Temperature Range

针对智能电网建设过程中需准确选择能够代表季节负荷特性典型日的要求,提出了一种计及温度区间的典型日筛选方法。在对负荷影响因素和日负荷曲线聚类分析的基础上,根据温度区间对日负荷重新分类,利用加权重心法筛选出每一类的典型日。实验结果表明,采用该方法选取的典型日是合理的、可行的,为需求响应如负荷预测、错峰管理、负荷调控等提供了有效地数据支撑。

In order to accurately select the typical day which can represent seasonal load features in the process of the design and construction of smart grid, a typical day screening method considering temperature range is proposed. Based on the cluster analysis of load factors and daily load curves, the daily load is reclassified according to the temperature range. and the typical days of each type are selected by weighted centroid model.The experimental results show that the typical day selected by the way is reasonable and feasible, and thus it may provide effective data support for demand response, such as load prediction,peak load management, load control and so on.