人工神经网络在输电系统故障定位中的重要性综述

Avagaddi Prasad, J. Edward
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引用次数: 18

摘要

本文介绍了一种基于人工神经网络的架空输电线路故障定位方法。对电力的需求日益增加,与人口的增长成正比,我们需要生产更多的电力来满足需求。如何根据用户的需求为用户提供高质量的电力是电力工程师面临的一项具有挑战性的任务。在电力系统中,架空输电线路是发生故障最多的线路。故障定位是故障分析的主要任务之一。因此,由于电力系统的突发变化,对旧继电保护系统进行升级改造是必要的。本文介绍了人工神经网络在故障定位中的重要性,因为与其他软计算技术如模糊逻辑方法、小波技术、支持向量机等传统方法相比,人工神经网络具有许多优点。
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Importance of artificial neural networks for location of faults in transmission systems: A survey
This paper presents a survey on location of faults in overhead transmission lines using artificial neural networks. The demand for electricity is raising day by day, with proportional to increase of population, we need to generate more power to meet out the demand. It's a challenging task for power engineers to provide good quality of power to the consumers as per their requirement. In electrical power system maximum number of faults occurs in overhead transmission lines. Fault location is one of the major tasks in fault analysis. So the upgradation of old protective relaying systems is necessary due to the unexpected changes in electrical power systems. This survey presents the importance of artificial neural networks for fault location, because it has many advantages compared to other soft computing techniques namely fuzzy logic approach, wavelet technique, support vector machine and other conventional methods.
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