配电网中的数据挖掘:先导母线的最优定位

Z. Ernesto Jaramillo, J. R. Castro, Tuesman D. Castillo, R. Reátegui
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引用次数: 1

摘要

导联母线的选择是二次电压控制策略能否发挥作用的关键参数;本文提出了一种利用数据挖掘算法K-means和DBSCAN进行导频总线选择的方法。通过改变配电网参数,利用OpenDSS软件对配电网的电压分布进行模拟,得到数据。在ieee13和ieee34节点测试馈线标准配电网中实施了该方法,验证了该方法的有效性。
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Data Mining in Electrical Distribution Networks: Optimal Location of Pilot Bus
Pilot bus selection is a key parameter to the proper function of secondary voltage control strategies; this paper proposes a methodology for pilot bus selection using data mining algorithms K-means and DBSCAN. The data was generated by varying distribution network parameters and simulating the voltage profile using OpenDSS software. The methodology was implemented in IEEE 13 and 34 node test feeder standard distribution networks to illustrate the effectiveness of the proposed method.
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