采用人工神经网络技术的先进微处理器电源保护系统

Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95 Pub Date : 1995-11-21 DOI:10.1109/EMPD.1995.500767

Z. Chen, Akhtar Kalam, A. Zayegh

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引用次数: 3

摘要

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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Advanced microprocessor based power protection system using artificial neural network techniques

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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Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95

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