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

来源：

IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 1995年 / 142卷 / 04期

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

页码：386 / 392

页数：7

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