基于热场仿真及改进粒子群算法的电缆群负荷优化方法  

Load Optimization Method of Cluster Power Cables Based on Thermal Field Simulation and Modified Particle Swarm Algorithm

作　　者：郑文坚[1] 牛海清[1] 宋廷汉 王晓兵 ZHENG Wenjian;NIU Haiqing;SONG Tinghan;WANG Xiaobing(School of Electric Power,South China University of Technology,Guangzhou 510640,China;Guangzhou Electrical Designing Institute,Guangzhou 510000,China)

机构地区：[1]华南理工大学电力学院,广州510640 [2]广州电力设计院,广州510000

出　　处：《高电压技术》2019年第6期2010-2016,共7页High Voltage Engineering

摘　　要：电缆集群敷设在城市输配电网中越来越普遍。受到相互之间严重的热影响,集群敷设电缆温度场分布不均衡,中间电缆导体温度高于其周围电缆。因而提出基于热场仿真及改进粒子群算法的电缆群负荷优化方法,该方法在电缆温度场分布有限元计算的基础上,以断面载流能力最大作为优化目标、各条电缆导体温度不超过90℃作为约束条件,利用改进粒子群算法对电缆负荷进行优化。采用该方法对排管敷设十二回路、十六回路、二十四回路电缆群进行负荷优化,结果显示断面载流能力明显提高,且提高的幅度随着电缆回路数的增加而增大,最高能达到近5%;该方法同样可提高运行中某些线路负荷固定时的断面负载能力。综上所述,利用该方法对电缆群进行负荷优化可得到负荷分配的最优方案,提高电缆群断面载流能力,提高电缆利用率。The method of cluster laying is more and more commonly adopted in urban distribution cable network.The heat effect among cables is serious and leads to their temperature overbalance,and the middle cable is the hottest one.To improve the section ampacity of cables,a load optimization method based on modified particle swarm and finite element method(FEM)thermal field simulation is proposed,in which to maximize the section carrying capacity is taken as the optimization objective and that the conductor temperature of each cable does not exceed 90℃is taken as the constraint.The results of the load optimization of twelve,sixteen and twenty-four circuits cables laying in ducts reveal that the section ampacity will all be enhanced evidently.And the more the cable number is,the more the ampacity will increase,reaching a maximum of nearly 5%.The method can also improve the carrying capacity in case of changeless load of some lines.Therefore,the load optimization method proposed can extract the optimal scheme of cable load distribution,maximum section carrying capacity of cables,and increase its utilization.

关 键 词：集群敷设 载流量 有限元 粒子群算法 负荷优化 

分 类 号：TM75[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]