文档介绍：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。为了提高地下电缆集群的总体输送能力,文中运用matlab软件和基于这个软件下的遗传算法,编写了电缆优化运行和优化设计程序,因此本文对此做了研究。
文中以电缆集群电流之和最大为目标函数,以每根电缆线芯温度低于其长期工作的最高温度为约束条件,采用遗传算法来求解极值,确定每一回路的优化运行电流,并编写优化设计程序,进行了优化计算10kV电压等级单芯和三芯电缆集群载流量。通过模拟地下电缆集群的敷设工况,对地下电缆集群进行运行优化,提高电缆集群输送能力,提出了电缆运行和敷设的相关建议。电缆集群的优化运行和不等间距优化设计极大地提高了电缆集群的使用效率。
关键词:电缆集群;优化运行;优化设计;遗传算法;
ic 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 ic 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 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