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A new method for overcurrent relay (O/C) using neural network and fuzzy logic

机译:一种使用神经网络和模糊逻辑的过电流继电器(O / C)的新方法

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For coordination of O/C relays, it is necessary to model the relay characteristics and calculate the time dial setting (TDS) of the relays. The O/C relays' characteristics are normally modeled by a polynomial using a curve fitting technique. A new method for calculating the TDS and t (operating time of O/C relays) based on a neural network and fuzzy logic is used. In this method, fuzzy logic uses the same information as the neural network. Also the variation of t with the TDS is not assumed linear, therefore t is calculated with a high accuracy. In addition, in the method used for determination of the TDS, we do not need to use numerical analysis and mathematical equations, so the calculation speed as well as the accuracy is increased.
机译:为了协调O / C继电器,有必要建模继电器特性并计算继电器的时间拨号设置(TDS)。 O / C继电器的特性通常由使用曲线拟合技术进行多项式建模。使用基于神经网络和模糊逻辑计算TDS和T(O / C继电器的运行时间)的新方法。在此方法中,模糊逻辑使用与神经网络相同的信息。此外,没有假设具有TDS的T的变化,因此T以高精度计算。另外,在用于确定TDS的方法中,我们不需要使用数值分析和数学方程,因此计算速度以及精度增加。

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