A survey on intelligent system application to fault diagnosis in electric power system transmission lines

被引:85
作者
Ferreira, V. H. [1 ]
Zanghi, R. [2 ]
Fortes, M. Z. [1 ]
Sotelo, G. G. [1 ]
Silva, R. B. M. [1 ]
Souza, J. C. S. [1 ]
Guimaraes, C. H. C. [1 ]
Gomes, S., Jr. [1 ]
机构
[1] Univ Fed Fluminense, Sch Engn, Niteroi, RJ, Brazil
[2] Univ Fed Fluminense, Inst Comp, Niteroi, RJ, Brazil
关键词
Intelligent systems; Power systems; Fault diagnosis; Transmission lines; WAVELET MULTIRESOLUTION ANALYSIS; SUPPORT VECTOR MACHINE; OF-THE-ART; ARTIFICIAL NEURAL-NETWORK; EXTREME LEARNING-MACHINE; LOCATION ALGORITHM; EXPERT-SYSTEM; DETECTION/LOCATION TECHNIQUE; SECTION ESTIMATION; ARCING FAULT;
D O I
10.1016/j.epsr.2016.02.002
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
Fault analysis and diagnosis constitute a relevant problem in power systems, with important economic impacts for operators, maintenance agents and the power industry in general. This has motivated the research and development of new algorithms and methods to address this problem. Intelligent systems have been proposed in the literature to deal with this problem in a significant number of applications. In the context of fault diagnosis in electric power systems, this survey presents a review of intelligent systems application to fault diagnosis in electric power system transmission lines. A huge number of related works can be found in the literature, being the major contributions reported in international journals. Then, the works cited in the present survey are restricted to those reported in regular journals that present high adherence to the aforementioned subject. The classification of strategies employed and their relationships with classical techniques are presented and discussed, allowing the identification of the main trends and research areas related to transmission line intelligent fault diagnosis systems. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:135 / 153
页数:19
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