Neural network based adaptive autoreclosure technique for long-distance compensated transmission systems

Electric Machines and Power Systems

Volumn 25, Issue 3, 1997, Pages 287-294

  Song, Y H ^a   Johns, A T ^a   Aggarwal, R K ^a  

^a UNIVERSITY OF BATH   (United Kingdom)

Author keywords

Autoreclosure; Neural network

Indexed keywords

EID: 0002774210     PISSN: 0731356X     EISSN: 15210502     Source Type: Journal    
DOI: 10.1080/07313569708955739     Document Type: Article

References (7)

1. YH Song, RK Aggarwal, AT Johns, Neural networks ill power systems protection, Proc Colloq. lEE Neural Networks for Systems and Control, 1993.
2. D Fitton, R Dunn, R K Aggarwal, A T Johns, Y H Song, Adaptive autoreclosure scheme using neural network approach, Proc the Fifth IEE International Conference on Protection, 1993
3. A T Johns, M Ei-nour, R K Aggarwal, Performance of distance protection of ehv feeders utilising shunt-reactor arrangemenis for arc suppression and voltage control, IEE, Pt C, No. 5. 1980, pp. 304-316
4. EW Kimbark, Charts of three quantities associated with single-pole switching, IEEE,-Vol. PAS-94, 1975
5. AT Johns, AM Al-Rawi, Developments in the simulation of long-distance single-pole-switched EHV systems, IEE, Pt C, No. 2, 1984, pp. 67-77
6. Neural Computing, Neural ware, Inc., 1991
7. YH Song, RK Aggarwal and AT Johns, Digital simulation of fault arcs in longdistance transmission lines with particular reference to adaptive autoreclosure. Proc. ETEP, 1995