Automation of Electric Power SystemsVol. 39, Issue 15, Pages: 96-102(2015)
作者机构:
华北电力大学电气与电子工程学院,河北省,保定市,071003
作者简介:
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DOI:
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Published:2015
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DAI Zhihui. [J]. Automation of electric power systems, 2015, 39(15): 96-102.
DOI:
DAI Zhihui. [J]. Automation of electric power systems, 2015, 39(15): 96-102.DOI:
基于电压偏差向量2-范数的主动配电网故障定位新方法
摘要
随着分布式电源在配电网中渗透率的提高
现有的一些故障定位算法可能失效
对此
提出了一种基于最小电压偏差向量2-范数的故障定位算法。首先
根据配电网各节点注入的等效故障电流计算各电源处电压变化值
并比较各电源处电压变化测量值与电压变化计算值之差
搜索差值向量最小2-范数对应的故障电流注入节点从而确定故障区段的第一个节点
其次
通过该节点两侧电压差值变化确定故障区段的另一节点
实现故障区段定位。最后
利用IEEE 34节点三相不平衡系统进行了故障定位分析
结果表明算法物理意义明确、计算过程简单且具有良好的故障定位准确度。
Abstract
With the increasing interconnection of distributed generators in distribution networks
some of the existing fault location algorithms may fail. A fault location method based on the minimum 2-norm of voltage deviation vectors is proposed. Firstly
the fault current is injected into each bus of the distribution network model to calculate the voltage variation of the power source. Secondly
the difference between measured voltage variation and calculated voltage variation is analyzed
and the fault current injected bus corresponding to the minimum difference is searched and determined as the first bus of the fault section. Finally
the other bus of the fault section is determined according to the variation trend. An IEEE 34-bus system is chosen to verify the algorithm
the results showing that the algorithm has clear physical meaning
simple calculation process and good fault location accuracy. The more distributed generation is connected
the better fault location accuracy will be. This work is supported by National Natural Science Foundation of China (No. 51307059)
Hebei Provincial Natural Science Foundation of China (No. E2014502065)
Fundamental Research Funds for the Central Universities (No. 2014MS86)
and National Basic Research Program of China (973 Program) (No. 2012CB215200).