基于改进麻雀搜索算法的海底电缆环境参数反演模型

    Inversion Model of Environmental Parameters of Submarine Cables Based on Improved Sparrow Search Algorithm

    • 摘要: 电缆载流量一般由线芯温度决定,线芯温度则受周围介质和环境参数影响。因此,精确的环境参数是电缆实时载流量准确计算的前提。针对海底电缆在实际运行过程中准确获取实时环境参数的难题,提出了一种环境参数反演的数学模型和求解方法。首先,构建了海底电缆环境参数反演的数学模型,并基于改进的麻雀搜索算法,提出了上述反演模型的一种有效求解方法。然后,为提高性能提出了结合樽海鞘群算法改进策略,在麻雀个体位置更新中引入Lévy飞行,增强了算法寻优和跳出局部最优点的能力;同时,给出了一种合适的收敛因子。实例验证结果表明,该反演模型和算法能够获得准确的海底电缆土壤导热系数,改进的麻雀搜索算法提升了海底土壤导热系数反演的精度与计算效率。

       

      Abstract: Current-carrying capacity of a cable is generally determined by the core temperature, which is influenced by the surrounding medium and environmental parameters. Therefore, accurate environmental parameters are the prerequisite for the accurate calculation of real-time cable current-carrying capacity. Aiming at the difficulty of accurately obtaining real-time environmental parameters for actual submarine cable operation, a mathematical model and solution method for the inversion of environmental parameters were proposed. Firstly, a mathematical model for the inversion of environmental parameters of submarine cables was constructed, and based on the improved sparrow search algorithm, an effective solution method for the above inversion model was proposed. Then, in order to improve the performance, a strategy to improve sparrow search algorithm by combining with salp swarm algorithm was proposed, and the Lévy flight method was introduced into sparrow individual position update rule, which could enhance algorithm's ability to search for the optimal point and to jump out of the local optimal point. At the same time, a suitable convergence factor was given. Results of an example showed that the inversion model and algorithm could obtain accurate thermal conductivity of sea soil, and the improved sparrow search algorithm could enhance the accuracy and efficiency.

       

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