基于日负荷曲线的新疆地区电力负荷分类
Classification of Electric Power Load in Xinjiang Based on Daily Load Curve
DOI: 10.12677/SG.2019.96032, PDF,   
作者: 关洪浩, 边家瑜, 余 金, 罗 锐：国网新疆电力有限公司经济技术研究院，新疆 乌鲁木齐
关键词: 日负荷曲线；K-Means聚类算法；新疆；电力负荷分类；Daily Load Curve； K-Means Clustering Algorithm； Xinjiang； Power Load Classification
摘要: 电力负荷分类是负荷建模的基础依据，负荷分类的准确性直接影响负荷模型的实用性，进而影响电力系统仿真结果的可靠性。新疆地区区域特点与负荷特性明显决定了电力负荷分类工作尤其重要，因此开展新疆地区电力负荷准确分类研究具有重要工程价值。论文提出了一种基于日负荷曲线和K-means聚类算法的新疆地区电力负荷分类方法。首先分析了新疆地区的负荷特点，提出采用日负荷曲线数据进行新疆地区负荷分类的方法，然后基于K-means聚类算法实现了新疆地区负荷分类。结果表明了文中方法的正确性与有效性。
Abstract: Power load classification is the basic data and key indicators of power system planning and operation control. The location characteristics and load characteristics of Xinjiang region obviously determine the classification of power load is particularly important. Therefore, it is of great engineering value to carry out accurate classification research of power load in Xinjiang. This paper proposes a power load classification method based on daily load curve and K-means clustering algorithm in Xinjiang. Firstly, the load characteristics of Xinjiang region are analyzed, and the load classification ideas and classification indicators of Xinjiang region using daily load curve data processing are proposed. Then the load classification in Xinjiang is realized based on K-means clustering. The results show the correctness and effectiveness of the proposed method.
文章引用：关洪浩, 边家瑜, 余金, 罗锐. 基于日负荷曲线的新疆地区电力负荷分类[J]. 智能电网, 2019, 9(6): 302-309. https://doi.org/10.12677/SG.2019.96032

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