MICROCONTROLLER BASED AUTOMATIC FAULT IDENTIFICATION IN A DISTRIBUTION SYSTEM

被引：0

作者：

Saha, Debasree ^{[1
]}

Sengupta, S. ^{[2
]}

机构：

[1] Narula Inst Technol, Dept Elect Engg, 81 Nilgunj Rd, Kolkata 700109, India

[2] Univ Coll Sci & Technl, Appl Phys, Kolkata 700009, W Bengal, India

来源：

PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, DEVICES AND INTELLIGENT SYSTEMS (CODLS) | 2012年

关键词：

Fault ldentificatio; Distribution System; Microcontroller; Automatic;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A delta-star transformer connected to distribution system has been analyzed with the approach of generalized theory of electrical machines and expressions for symmetrical and different unsymmetrical faults are derived. The detailed theoretical analysis shows that magnitude and phase angle of fault current varies depending on nature and types of faults. A microcontroller based continuous monitoring unit is developed to detect and identify types of faults in the transformer connected distribution system. Software executed in microcontroller evaluates nature of a fault based on measured magnitudes and phase angles of voltages and currents under faulty condition. Theoretical analysis and experimental results validate acceptability of the developed unit.

引用

页码：504 / 507

页数：4

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