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Wavelet Transform and ANN base Differential Protection for Power Transformer

机译:电力变压器的小波变换和ANN基础差动保护

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Of the very few expensive apparatus in a transmission line network is the multi winding apparatus known as Power Transformer, which needs a continuous monitoring of its health such that the system performs efficiently. The discrimination between an external fault and an internal fault, in a transformer is provided by the differential logic. The performance of the transformer depends on the operating conditions, which in turn creates different protection requirements. In this paper, a novel algorithm, for the transformer protection is developed based on ANN and Wavelet transform, which proved to provide much satisfactory performance of the equipment. The various transients created during the operation of the transformer is facilitated for detailed analysis by the use of wavelet transform method in time domain and the frequency domain. As an effective tool, the wavelet transform has proved to be successful in the transient analysis which was ably complemented by ANN for obtaining accurate results.
机译:在传输线网络中的几个昂贵的设备中是称为电力变压器的多绕组装置,其需要连续监控其健康,使得系统有效地执行。在变压器中,外部故障和内部故障之间的歧视由差分逻辑提供。变压器的性能取决于操作条件,反过来又会产生不同的保护要求。本文基于ANN和小波变换开发了一种新颖的算法,用于变压器保护,证明了设备的令人满意的性能。通过在时域和频域中使用小波变换方法,便于在变压器操作期间产生的各种瞬变进行详细分析。作为一个有效的工具,小波变换已经证明是在瞬态分析中取得成功,这是由ANN获得准确结果的ANN巧妙的瞬态分析。

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