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首页> 外文期刊>International Journal of System Dynamics Applications: An official publication of the Information Resources Management Association >Applications of ANFIS in Loss of Excitation Faults Detection in Hydro-Generators
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Applications of ANFIS in Loss of Excitation Faults Detection in Hydro-Generators

机译：ANFIS在水轮发电机励磁故障检测中的应用

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摘要

This article presents a new methodology for Loss of Excitation (LOE) faults detection in Hydro-generators using Adaptive Neuro Fuzzy Inference System. The proposed structure was trained by data from simulation of a 345kV system under different faults conditions and tested for various loading conditions. Details of the design process and the results of performance using the proposed technique are discussed in the article. Two different techniques are discussed in this article according to the type of inputs to the proposed ANFIS unit, the generator terminal impedance measurements (R and X) and the generator RMS Line to Line voltage and Phase current (Vtrms and Ia). The two proposed techniques results are compared with each other and are compared with the traditional distance relay response in addition to other techniques. The results show that the proposed Artificial Intelligent based technique is efficient in the Loss of Excitation faults (LOE) detection process. The obtained results are very promising.
机译：本文提出了一种使用自适应神经模糊推理系统检测水轮发电机励磁损失（LOE）故障的新方法。通过在不同故障条件下对345kV系统进行仿真得到的数据对拟议的结构进行了训练，并对各种负载条件进行了测试。本文讨论了设计过程的详细信息以及使用该技术的性能结果。根据提议的ANFIS单元的输入类型，发电机端子阻抗测量（R和X）以及发电机RMS线间电压和相电流（Vtrms和Ia），本文讨论了两种不同的技术。所提出的两种技术的结果相互比较，并且除其他技术外，还与传统的距离中继响应进行了比较。结果表明，所提出的基于人工智能的技术在失磁故障检测过程中是有效的。获得的结果非常有希望。

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