An Algorithm for Diagnosis of Faults and Power Quality Problems in Radial Distribution Networks

被引：0
|
作者：
Silva, Kelly dos Santos [1 ]
Alves, Helton do Nascimento [1 ]
机构：
[1] Fed Inst Educ Sci & Technol Maranhao IFMA, Sao Luis, Brazil
来源：
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) | 2017年
关键词：
On-line fault diagnosis; power distribution-lines; negative selection algorithm; power quality problems; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a methodology for diagnosis of faults and power quality problems in primary distribution feeders. The input data are the currents of the feeder per phase, monitored only in the substation. An artificial immune system was developed using the negative selection algorithm to detect and classify the faults and power quality problems. The main application of the software is to assist in the operation during a fault and supervise the power quality problem. A 103-bus non-transposed real feeder is used to evaluate the proposed algorithm. The results show that the algorithm is effective in its proposed and it has great potential for on-line applications.
引用
收藏
页码：1009 / 1014
页数：6
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