首页> 外文会议>Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on >Genetic algorithm based real-time rating for short-time thermal capacity of duct installed power cables
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Genetic algorithm based real-time rating for short-time thermal capacity of duct installed power cables

机译:基于遗传算法的管道安装电力电缆短期热容量实时评估

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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:日本公用事业公司已经促进了研究,以更有效地使用现有设备。到目前为止,Neher方程一直用于计算电缆的短时热容量。但是,为了更有效地使用现有的电力电缆,必须进行考虑时变热阻和周围土壤电容的详细计算。对于安装在管道上的电力电缆,可以通过新开发的光纤温度传感器来测量管道温度。在本文中,我们提出了一种计算管道安装电力电缆的短期热容量的方法。所提出的算法是基于使用连续测量的管道温度估算周围土壤的热阻和电容的结果。在该算法中,采用遗传算法来准确估算此电阻和电容。实验数据证明了该算法的有效性。结果表明,采用本文提出的方法可以显着提高管道安装电力电缆的短时热容量。

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