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Detecting The Loss Of Excitation In Hydro Generators Using A Neuro-Fuzzy Technique

机译:使用神经模糊技术检测水轮发电机励磁损失

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摘要

This research explores the impact of using the 3rd harmonics and the positive sequence components on enhancing the performance of the circuits for the detection of Loss of Excitation (LOE) in hydro-generators. In this context, investigations were conducted on a two hydro-generators power station model under a complete Loss of Excitation (LOE) conditions, and a partial Loss of Excitation (LOE) conditions in different generator loading conditions. The results of the investigations are compared with those obtained using other techniques to prove the effectiveness of the proposed solution. The time-domain simulation studies were conducted using PSCAD/EMTDC software. The results obtained are very promising
机译:这项研究探索了使用三次谐波和正序分量对增强用于检测水轮发电机励磁损失(LOE)的电路性能的影响。在这种情况下,对两个水轮发电机发电站模型进行了研究,这些模型在完全励磁损失(LOE)条件下以及在不同发电机负载条件下部分励磁损失(LOE)条件下进行。将研究结果与使用其他技术获得的结果进行比较,以证明所提出解决方案的有效性。使用PSCAD / EMTDC软件进行时域仿真研究。获得的结果很有希望

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