Power System Fault Detection, Classification and Location Using the K- Nearest Neighbors

被引：0

作者：

Recioui, Abdelmadjid ^{[1
]}

Benseghier, Brahim ^{[1
]}

Khalfallah, Hamza ^{[1
]}

机构：

[1] Univ Boumerdes, Lab Signals & Syst, Inst Elect & Elect Engn, Ave Independance, Boumerdes 35000, Algeria

来源：

2015 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2015年

关键词：

Power systems; fault detection; fault classification; fault location; K-nearest Neighbour algorithm;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Power systems are frequently subjected to faults. These faults can cause the destruction of expensive power system components such as motors, generators, and transformers, explosions due to over-voltages, high currents, outage and death. A power protection system is required in order to detect, classify, and locate the fault to clear it rapidly and to minimize the effects mentioned before. This paper deals with the detection, classification and location of power system faults on the IEEE 14 Bus Test Network using the K-Nearest Neighbors based on MATLAB/SIMULINK.

引用

页码：297 / U777

页数：6

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