节点文献
基于模糊聚类的配电网负荷特性分析
Load Characteristic Analysis of Distribution Grid Based on Fuzzy Clustering
【摘要】 配电网的负荷分析是进行负荷预测、负荷控制等行为的基本前提。分别分析居民、商业、工业3类负荷的用电行为以及典型负荷曲线,得出影响每类负荷用电行为变化及曲线变化的因素。运用FCM模糊聚类方法对工业用户进行分类,将负荷曲线形状相似的用户分为一类,并针对具体用户进行具体分析。算例结果表明,进行聚类后负荷分类更为精细,负荷分析更加准确。
【Abstract】 Load analysis of distribution grid is the basic premise of load lorecast and load control.Consumption behavior and typical load curve of resident load,commercial load and industry load are analyzed respectively to achieve the influence factor of each kind of load’s consumption behavior change and curve change.Fuzzy c—means is used to classify industry consumers.Consumers with similar load curve shapes are classified into one category,and then are analyzed specifically.The results show that load classification is more delicate and load analysis is more accurate after clustering.
【Key words】 consumption habit; classified load; load characteristic; fuzzy c-means;
- 【文献出处】 陕西电力 ,Shaanxi Electric Power , 编辑部邮箱 ,2015年04期
- 【分类号】TM714
- 【被引频次】15
- 【下载频次】216