Feature Extraction-Based Method for Voltage Sag Source Location in the Context of Smart Grids

被引:0
作者
Borges, F. A. S. [1 ]
Silva, I. N. [1 ]
Fernandes, R. A. S. [2 ]
机构
[1] Univ Sao Paulo, Dept Elect & Comp Engn, Sao Carlos, SP, Brazil
[2] Fed Univ Sao Carlos UFSCar, Dept Elect Engn, Sao Carlos, SP, Brazil
来源
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2018年 / 620卷
基金
巴西圣保罗研究基金会;
关键词
voltage sag; power quality; distribution feeders; disturbance location; CLASSIFICATION;
D O I
10.1007/978-3-319-62410-5_9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The location of the voltage sag sources corresponds to an important task for the Power Quality area. However, this is not a trivial task due to the need of many monitoring devices. Therefore, with the data management from smart meters installed in distribution feeders, decision support tools that solve this problem become viable. Thus, this paper proposes an algorithm that determines the area where the voltage sag source is located. For this purpose, it was necessary to extract features from smart meters' voltage signals. In the sequence, we analyze the relevance of each feature to establish the most significant of them. In this way, the smart meter could extract these features and send them to the utility. At the utility side, the proposed algorithm will estimate the region where the voltage sag source is located. The location procedure is performed by cross checking the most relevant features and the network topology.
引用
收藏
页码:71 / 78
页数:8
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