基于文化基因算法的隧道多回路电缆优化

Optimization of Tunnel Multi-Loop Cable Based on Memetic Algorithm

隧道敷设因其输送电流大、便于管理维护和巡检等优点被广泛地应用于城市输电网络,优化多回路电缆的布置方式有利于充分利用隧道电缆的负载能力。本文考虑隧道敷设电缆的电磁场、热场、流场以及金属护套的交叉互联的接地方式,针对某隧道七回路高压电缆建立了其磁-热-流-路耦合的多物理场有限元仿真模型;利用红外测温数据验证了模型的正确性。以金属护套感应电压不超过规范值为约束条件、电缆最高线芯温度的仿真计算值最低为目标函数,基于文化基因算法对电缆的相序和位置进行联合优化。优化后电缆的最高线芯温度、护套环流损耗、环流平均值、感应电压分别下降了8.18%、21.39%、30.62%、8.2%。本文研究表明,采用文化基因算法,通过适当增大隧道电缆回路的水平距离,选择合适的相序布置方式有利于削弱回路电缆之间的互热效应,降低金属护套环流发热损耗,改善隧道电缆的布置方式。

Tunnel laying is widely used in urban transmission network because of its large transmission current,easy management,maintenance and inspection.Optimizing the layout of multi-loop cables can make full use of its load capacity.In this paper,considering the electromagnetic field,thermal field,fluid field and the cross-bonding grounding mode,a simulation model of magnetic thermal flow and circuit coupling for a seven-circuit high voltage cables in a tunnel was established.The model was verified by infrared temperature measurement.Taking the induced voltage of metal sheath not exceeding the standard value as constraints and the minimizing the highest core temperature of cables as objective function,The phase sequence and position of the cable are optimized jointly based on memetic algorithm.After optimization,the maximum core temperature,sheath circulation loss,average circulation value and induced voltage of the cable decreased by 8.18%,21.39%,30.62%and 8.20%,respectively.The result shows that the adoption of memetic algorithm,by properly increasing the horizontal distance of the tunnel cable loop and selecting the appropriate phase sequence layout,is conducive to weakening the mutual heat effect between the loop cables,reducing the circulating heat loss of the metal sheath,and improving the layout of the tunnel cable.