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考虑馈线聚类特性的中压配网线损率测算模型 被引量:11

Line-loss rate calculation model considering feeder clustering features for medium-voltage distribution network
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摘要 针对10 k V中压配网馈线数量多、基础数据匮乏而导致线损管理难度大的现状,设计了一种考虑馈线聚类特性的中压配网线损率测算模型,用于快速、合理地进行馈线分类并计算各类馈线线损率标杆值。考虑馈线之间在线路属性、运行参数等方面的差异,挑选对线损率影响较大的指标,设计了一套科学合理且简便易行的聚类指标体系,并使用模糊C均值(FCM)聚类算法对数量巨大的馈线进行聚类,每类挑选一条中心馈线。基于馈线聚类的结果,设计了一套中压配网馈线线损率标杆值测算模型,该模型分别使用等值电阻法和指标系数调整法对中心馈线和非中心馈线进行线损率计算,可得到各类馈线的线损率标杆值,其中指标系数调整法通过计算非中心馈线与中心馈线的调整系数,快速简便地计算得到大量非中心馈线的线损率。以某大型供电企业的实际馈线为例,证明了该模型的有效性及易推广性。 Aiming at the line-loss management difficulty of 10 k V distribution network due to its numerous feeders and deficient basic data,a line-loss rate calculation model considering the clustering features is proposed to quickly and rationally classify the feeders and calculate the line-loss benchmark for each feeder type. A simple and scientific clustering index system is proposed,which considers the difference of line property,operating parameters and so on among feeders and selects the indexes with greater influence on the line-loss rate. A huge number of feeders are sorted by the FCM(Fuzzy C-Means) clustering algorithm and a central feeder is selected for each feeder type,based on which,a line-loss benchmark calculation model is designed for the medium-voltage distribution network. It adopts the equivalent resistance method and the index coefficient adjusting method to calculate the line-loss rate for the central feeder and noncentral feeders respectively to obtain the benchmark of each feeder type. The index coefficient adjusting method calculates the adjustment coefficient of non-central feeder over central feeder to quickly and easily obtain the line-loss rates of numerous non-central feeders. The case study for an actual large-scale powersupply enterprise proves the effectiveness and applicability of the proposed model.
出处 《电力自动化设备》 EI CSCD 北大核心 2016年第9期33-39,共7页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(51377060)~~
关键词 中压配网 聚类算法 线损率 测算模型 medium-voltage distribution network clustering algorithms line loss rate calculation model
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