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Genetic algorithm based real-time rating for short-time thermal capacity of duct installed power cables

机译:基于遗传算法基于导管短时散热容量的实时额定值

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Japanese utilities have promoted research to use existing equipment more effectively. Until now, Neher's equations have been used to calculate the short-time thermal capacity of power cables. However, in order to use existing power cables more effectively, detailed calculations which consider time-varying thermal resistance and capacitance of the surrounding soil are necessary. For duct-installed power cables, duct temperatures can be measured by newly developed optical fiber temperature sensors. In this paper we propose a method to calculate the short-time thermal capacity of duct-installed power cables. The proposed algorithm is based on the estimation of the thermal resistance and capacitance of the surrounding soil using continuously measured duct temperatures. In this algorithm, a genetic algorithm is employed to estimate this resistance and capacitance accurately. The effectiveness of the proposed algorithm is demonstrated using the experimental data. It is shown that applying the proposed method improves the short-time thermal capacity of duct-installed power cables considerably.
机译:日本公用事业公司促进了研究,以更有效地使用现有设备。到目前为止,合适的方程已经用于计算电力电缆的短时间热容量。然而,为了更有效地使用现有的电力电缆,需要考虑周围土壤的时变热阻和电容的详细计算。对于管道安装的电源线,可以通过新开发的光纤温度传感器测量管道温度。本文提出了一种方法来计算导管安装电力电缆的短时间热容量。所提出的算法基于使用连续测量的管道温度估计周围土壤的热阻和电容。在该算法中,采用遗传算法精确地估计该电阻和电容。使用实验数据证明了所提出的算法的有效性。结果表明,应用所提出的方法可显着提高管道安装电力电缆的短时间热容量。

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