NEURAL-NETWORK-BASED ALGORITHM FOR POWER TRANSFORMER DIFFERENTIAL RELAYS

被引:75
作者
BASTARD, P [1 ]
MEUNIER, M [1 ]
REGAL, H [1 ]
机构
[1] PROTECT & CONTROL DPT,F-38000 GRENOBLE,FRANCE
关键词
POWER RELAYS; CURRENT TRANSFORMERS; PROTECTION SYSTEMS; NEURAL NETWORK ALGORITHMS;
D O I
10.1049/ip-gtd:19951817
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
A neural network-based algorithm for the protection of a one-phase power transformer is considered. The neural network input is a four-dimensional vector obtained by a fast-frequency analysis of the differential current. Primary and secondary currents are measured with current transformers the saturation of which is taken into account. A set of training cases is generated with the help of the electromagnetic transients program. The neural network-based algorithm is compared with a conventional differential algorithm. It is found to be more efficient, especially in the case of saturation of the current transformers.
引用
收藏
页码:386 / 392
页数:7
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