参考资料--基于遗传算法的地下电力电缆载流量优化研究.docVIP

基于遗传算法的地下电力电缆载流量优化研究 摘要 近年来，随着电力系统中地下电力电缆的敷设量的增加，经常会等间距敷设多回路的电缆集群，由于电缆集群在载流量和等间距下运行并没有充分挖掘出电缆的输送能力，多回路电缆集群通常采用等间距敷设，然而，电缆集群在等间距下运行并不是电缆集群的优化运行状态。因此本文对做了研究。 Genetic algorithm based optimization of underground power cable carrying capacity Abstract In recent years,along with the electric power system of underground power cable laying quantity increase ,often are laying a plurality of loop cable clusters,as the cable ampacity and clusters in the distance running has not fully tap the cable conveying capabcity,loop cable clusters usually by equal distance laying,however,cable clusters in space operation is not as optimum running state of cable cluster ,in order to improve the overall capacity of underguound cable clusters,this paper uses MATLAB sofrware and the software based on the genentic algorithm,prepared by the cable optimization running and optimization design program,so this article has done the research In this paper the cable in cluster current and maximum as the objective function,with each cable core temperature below its long-term work of the highest temperature as the constranint condition,uses the genetic algorithm to solve the extremum ,identifying each loop optimization operating current,and the preparation of optimization design program,calculated the 10kv voltage level single core and three core cable in cluster load flow.Through the simulation of underground cable in cluster laying condition ,opimzing the operation of underground cable group,improve the transmission of capacity of cable clusters,put forward relevant suggertions and laying of cable operation .Cable trunking and optimum operation of unequal spacing optimization design can greatly improve the efficiency of the use of cable group. Key words:Cable trunking;optimization;optimal design; genetic algorithm; 目录 基于遗传算法的地下电力电缆载流量优化研究 I 摘要 I 一．绪论 1 1.1课题背景 1 1.2研究方法和现状 2 1.3?本文研究内容 3 二、电缆的特性和电缆载流量的计算 3 2.1.电缆的介绍 3 2.2电缆的结构 3 2.2.1线芯 4 2.2.2绝缘层 4 2.2.3外护层 4 2.3电缆载流量的计