Advanced microprocessor based power protection system using artificial neural network techniques

Z. Chen, Akhtar Kalam, A. Zayegh
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引用次数: 3

Abstract

This paper describes an intelligent embedded microprocessor based system for fault classification in power system protection system using advanced 32-bit microprocessor technology. The paper demonstrates the development of a protective relay to provide overcurrent protection schemes for fault detection. It also describes a method for power fault classification in a three-phase system based on the use of neural network technology. The proposed design is implemented and tested on a single line three phase power system in a power laboratory. Both the hardware and software development are described in detail.
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采用人工神经网络技术的先进微处理器电源保护系统
采用先进的32位微处理器技术,设计了一种基于嵌入式微处理器的电力系统保护系统故障分类系统。本文介绍了一种为故障检测提供过流保护方案的保护继电器的研制。介绍了一种基于神经网络技术的三相系统电力故障分类方法。该设计方案在电力实验室的单线三相电力系统上进行了实现和测试。详细介绍了系统的硬件和软件开发。
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