基于寿命的电缆群载流能力优化研究

Optimization of Current Carrying Capacity of Cable Group Based on the Lifetime

采用周期性条件计算得到的载流量能提高电缆的载流能力,在周期性载流量的基础上提出一种周期性寿命最大允许电流模型。鉴于电缆周期性寿命最大允许电流与电缆寿命之间互相影响,采用多目标粒子群算法,考虑电缆的互为热源效应,以电缆群的平均寿命和平均周期性寿命最大允许电流为目标函数,在改进周期性载流量设置方法的基础上提出周期性寿命最大允许电流设置方法,然后对电缆群中每条回路的周期性寿命最大允许电流和寿命进行优化,从而找到电缆群的优化运行方式,并深入研究了电热联合老化对两个目标函数的影响。

Calculating cable ampacity with cyclical conditions can increase the current-carrying capacity of the cable. This paper put forward a model of maximum cycling lifetime allowable current based on the cycling ampacity. In review of interaction of the maximum cycling lifetime allowable current and lifetime of cable, multi-objective particle swarm optimization was used to optimize the maximum cycling lifetime allowable current of each cable by considering the mutual effect of cables and taking lifetime and maximum cycling lifetime allowable current of cable group as objective functions. And then the optimal operation mode of cables was obtained. Furthermore, the impact of cable electrical-thermal aging on the two objective functions was studied deeply.