DocumentCode
2446166
Title
High frequency fault location method for transmission lines based on artificial neural network and genetic algorithm using current signals only
Author
Aggarwal, Raj K. ; Blond, S.L. ; Beaumont, Phil ; Baber, G. ; Kawano, Fumio ; Miura, Shun
Author_Institution
University of Bath, United kingdom
fYear
2012
fDate
23-26 April 2012
Firstpage
1
Lastpage
6
Abstract
The present transmission systems are rapidly changing principally due to an increasing demand for better utilisation of existing lines resulting in lower transient stability limits, and also due to an increase in the complexity of the networks with small-scale distributed generation being connected into the existing networks. The current protection/fault location techniques are not conducive to such networks. This paper investigates a novel fault location method based on current signals only and utilising Artificial Intelligence technology. Importantly, the robustness and sensitivity of the technique developed is presented through an extensive series of studies and results when applied to complex power networks.
Keywords
Artificial neural networks; Fault location; Genetic algorithms; Power transmission lines; Resistance; Transient analysis; artificial neural networks; fault current signals; fault location; genetic algorithm; transmission lines;
fLanguage
English
Publisher
iet
Conference_Titel
Developments in Power Systems Protection, 2012. DPSP 2012. 11th International Conference on
Conference_Location
Birmingham, UK
Print_ISBN
978-1-84919-620-8
Type
conf
DOI
10.1049/cp.2012.0041
Filename
6227527
Link To Document