摘要
基于同相贯通牵引供电系统原理,以系统的全寿命周期成本(Life Cycle Cost,LCC)最小为优化目标,分别以牵引变电所设置数目和位置为优化变量,将牵引供电方案主要设计原则设置为约束条件,建立基于LCC的同相贯通牵引供电系统规划模型;采用粒子群算法对模型进行求解时,为提高算法的全局收敛性,提出非线性进化策略用以改进学习因子并采用高斯函数递减策略动态调整惯性权重系数,采用种群适应度方差值体现种群中个体的汇聚程度。以青藏铁路格拉段为算例,采用自主开发的牵引供电负荷过程仿真平台和改进粒子群算法,对基于LCC的同相贯通牵引供电方案进行优化配置和经济性评估。结果表明:与既有AT牵引供电方案相比,基于LCC的同相贯通牵引供电方案在满足技术要求的同时体现了良好的经济性。
Based on the principle of cophase continuous traction power supply system,taking the minimum life cycle cost(LCC)of the system as the optimization goal,the number and position of traction substations as optimization variables respectively,and the main design principles of traction power supply system as constraints,the LCC-based planning model of cophase continuous traction power supply system was established.In order to improve the global convergence of the algorithm,a nonlinear evolutionary strategy was proposed to improve the learning factor and the Gaussian function decreasing strategy was used to adjust the inertial weight dynamically,and the population adaptability variance value was used to reflect the aggregation degree of the individuals in the population when the particle swarm algorithm was adopted to solve the model.Taking the Golmud-Lhasa section of Qinghai-Tibet Railway as an example,the self-developed traction power supply load process simulation platform and the improved particle swarm optimization algorithm were used to optimize the configuration and evaluate the economy of cophase continuous traction power supply scheme based on LCC.Results show that compared with the existing AT traction power supply scheme,the cophase continuous traction power supply scheme based on LCC not only satisfies the technical requirements,but also embodies the good economy.
作者
陈民武
周应东
韩旭东
杨颢
周志录
孙亮
CHEN Minwu;ZHOU Yingdong;HAN Xudong;YANG Hao;ZHOU Zhilu;SUN Liang(School of Electrical Engineering,Southwest Jiaotong University,Chengdu Sichuan610031,China;Electrification Department,China Railway First Survey & Design Institute Group Co.,Ltd.,Xi an Shaanxi710043,China;Research Institute of Rail Transit Technology,Signal & Communication (Beijing) Rail Industry Group Co.,Ltd.,Beijing102613,China)
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2019年第3期103-111,共9页
China Railway Science
基金
国家自然科学基金资助项目(51877182)
四川省科技厅重点研发项目(2018FZ0107)
关键词
全寿命周期成本
外部电源薄弱
同相贯通
牵引供电系统
优化
粒子群算法
Life cycle cost
Weak external power source
Cophase continuous power supply
Traction power supply system
Optimization
Particle swarm algorithm
