基于曲线相似性的负荷分类方法及其应用研究

摘要

In DSM,the load characteristics clustering is an important foundation job for load control, and the in-depth study of its methods is conducive to grasping the load variation and achieving the load scientific management. In order to improve the efficiency of load characteristics clustering and meet the accuracy requirements of clustering,this paper proposes a clustering method for the large-scale power load based on the similarity of curves. By introducing the similar accuracy of the daily load curve,and according to the thresholds of the similar accuracy the daily load curve collection is divided into several load categories which meet the requirements without a large number of trials. The actual calculation example shows that this method can improve the load clustering efficiency and meet the accuracy requirements.%在电力需求侧管理中，负荷特性分类作为负荷控制工作的重要基础，深入研究其分类方法便于掌握负荷变化规律，实现负荷的科学管理。为了提高负荷特性分类的效率，同时使分类满足精度要求，提出一种基于曲线相似性的电力负荷特性分类法，通过引入日负荷曲线类相似精度，依据其阈值将日负荷曲线集划分成若干满足要求的负荷类别，无需依赖大量试算。经实测算例验证，此方法能较有效地提升负荷分类效率，并满足精度需求。