电力系统慢速事件自动保护系统

A. Gheitasi, Mahmoud Moghavvemi, R. Omar
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引用次数: 0

摘要

电机电流特征分析是一种利用模式识别技术定位一组频率分量来诊断电机重大事件的策略。然而,目前还没有一个指标可以明确地说明故障的延长时间,并根据情况提出截止时间和保护措施。本文提出了一种基于故障动态的保护等级定义。这里的要点是为系统操作员提供一个明确的警报,并在危险故障无法恢复之前争取适当的时间来采取纠正措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic protection system for slow rate events in power systems
Motor current signature analysis is defined as a strategy to diagnose the motors significant events by locating a set of frequency components using pattern recognition. However there is no index to give a clear idea about the fault extension and advise the deadline time and protection action on the situation. In this paper a new definition for protection levels based on dynamic of faults is presented. Here the main point is to have a clear alert for the system operators and buy a proper time to do the corrective action before a hazardous failure going to be unreturnable.
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