基于人工智能的电力故障检测与恢复

B. Selvin Sanjay, S. Singh, S. Bansod, Prashant Pal
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引用次数: 0

摘要

本研究的主要目的是在电力系统故障影响到整个系统之前,及时发现并排除故障。采用人工神经网络(ANN)方法及其拓扑结构进行故障检测。在该方法中,系统具体分析了从电力系统的传输端和用户端获得的数据。基于智能的故障检测是由具有快速故障检测能力的电力系统承担的,这种预测可以通过人工神经网络算法得到。人工神经网络是本研究的核心部分,它能在故障发生前进行检测。用该检测器对模拟中长传输线进行了测试,结果验证了该检测器的性能,并在MATLAB中实现了可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence based Power Fault Detection and Power Restoration
The main objective of this research is to detect the fault in the power system and rectify it before it affects the entire system. Artificial Intelligence circumstancing Artificial Neural Network (ANN) methods and its topologies are used to detect the fault. In this method, the system specifically analyses the data obtained from the transmission and consumer ends of the power system. The intelligence -based detection is undertaken by the power system which has a capacity of rapid fault detection, and this prediction can be obtained in ANN algorithm. ANN is the core part of this research which stimulates the detection of fault before it's occurrence. A simulated medium length transmission line has been tested by the detector and the results demonstrate the capability of the detector which is visualized in the MATLAB.
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