DocumentCode
2593419
Title
Control of the central sectionaliser in a wide area back-up protection expert system
Author
Tan, J.C. ; Crossley, P.A. ; Gile, P. ; Hall, I. ; Farrell, J.
Author_Institution
Guangxi Univ., Nanning, China
Volume
2
fYear
2003
fDate
13-17 July 2003
Abstract
The concept of tripping control of the central sectionaliser to achieve selectivity in the wide area backup protection expert system [J.C. Tan et al. (2000), J.C. Tan et al. (2000), J.C. Tan et al. (2001)] (BPES) is described in the paper. The BPES is an innovative intelligent system designed to provide back-up protection to a region of a transmission network using decisions derived from an action factor based expert decision system. The paper will illustrate how the central sectionaliser is identified and how the opening of the central sectionaliser leads to current redistribution when a fault exists on the network. This redistribution of current contributes to the identification of the faulted component. A busbar sectionaliser will be identified as the central sectionaliser if it involves the most number of lines most likely to be affected by the fault. An example will be included to demonstrate how control of the central sectionaliser was integrated into the BPES system. This is used to achieve selectivity of fault clearance for a fault only detected by a number of zone 3 distance elements on the south-western part of the UK national grid system.
Keywords
busbars; decision support systems; expert systems; power transmission control; power transmission faults; power transmission lines; power transmission protection; relay protection; UK national grid system; busbar sectionaliser; central sectionaliser control; current redistribution; expert decision system; fault clearance selectivity; intelligent system; protective relay; transmission line protection; transmission network; tripping control; wide area back-up protection expert system; Centralized control; Circuit faults; Control systems; Earth; Expert systems; Fault detection; Fault diagnosis; Neural networks; Protection; Protective relaying;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN
0-7803-7989-6
Type
conf
DOI
10.1109/PES.2003.1270365
Filename
1270365
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