CAJ | 학술논문

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。
재전력수구측관리중，부하특성분류작위부하공제공작적중요기출，심입연구기분류방법편우장악부하변화규률，실현부하적과학관리。위료제고부하특성분류적효솔，동시사분류만족정도요구，제출일충기우곡선상사성적전력부하특성분류법，통과인입일부하곡선류상사정도，의거기역치장일부하곡선집화분성약간만족요구적부하유별，무수의뢰대량시산。경실측산례험증，차방법능교유효지제승부하분류효솔，병만족정도수구。
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.