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基于S变换暂态能量与方向的无整定配电网选线新方法

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成果类型:
期刊论文
论文标题(英文):
A new fault line selection method for distribution network system based on transient energy and direction of S-transformation
作者:
陈豪威;王媛媛;唐夏菲;殷惠;林成;...
通讯作者:
Tang, X.
作者机构:
[王媛媛; 殷惠; 黄路明; 唐夏菲; 林成] Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network, Changsha University of Science and Technology, Changsha, 410114, China
The Eastern Operation and Maintenance Division, Maintenance Company, State Grid Hubei Electric Power Company, Wuhan, 430000, China
[陈豪威] Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network, Changsha University of Science and Technology, Changsha, 410114, China, The Eastern Operation and Maintenance Division, Maintenance Company, State Grid Hubei Electric Power Company, Wuhan, 430000, China
通讯机构:
[Tang, X.] H
Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network, China
语种:
中文
关键词:
S变换;暂态能量参数;综合相角参数;特征距离;无整定
关键词(英文):
Characteristic distance;Integrated phase angle parameters;Non setting;S-transform;Transient energy parameters
期刊:
电力系统保护与控制
ISSN:
1674-3415
年:
2018
卷:
46
期:
14
页码:
71-78
基金类别:
This work is supported by National Natural Science Foundation of China (No. 51777014)
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
为了提高配电网单相接地故障时选线的准确性和可靠性,提出了一种基于S变换暂态能量与方向的无整定配电网选线新方法。通过S变换计算各条线路故障特征频率下的暂态能量参数与综合相角参数,利用欧氏距离算法融合二维信息得到每条线路的特征距离,比较实时特征样本的故障距离和健全距离大小实现基于无整定保护判别的配电网故障选线。仿真结果表明,该方法受故障位置、故障合闸角、故障电阻、网络结构等因素影响较小,且判据裕度较高。该方法相比单一判据方法更加适用于结构复杂的配电网系统,同时不必人为规定继电器的动作特性,即无需人为设定判别整定值,具有很高的选线准确性和鲁棒性。
摘要(英文):
In order to improve the accuracy and reliability of faulty line selection when single phase grounding fault occurs in distribution systems, this paper presents a new non-setting fault line selection method for distribution systems based on transient energy and direction of S transform. The transient energy parameters and the integrated phase angle parameters are calculated at a characteristic frequency of each line by S transform, the Euclidean metric algorithm is used to get the characteristic distance of each line by fusing two-dimensional in...

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