...
首页> 外文期刊>The Open Fuels & Energy Science Journal >Optimization Design of Sectional Dynamic Power Supply Track Based onImproved CPSO Algorithm
【24h】

Optimization Design of Sectional Dynamic Power Supply Track Based onImproved CPSO Algorithm

机译:基于改进CPSO算法的分段动态电源轨道优化设计

获取原文
           

摘要

As an important part of smart grid, EVs have many advantages in energy saving and low pollution and becomea research hotspot. Based on the wireless power transfer technology, dynamic power supply technology develops rapidlyand can effectively reduce the battery capacity of EVs. This paper the issue on the optimal design of sectional dynamicpower supply track has been investigates the optimal design of sectional dynamic power supply track. For the optimaldesign of sectional tracks, a mathematical model of the minimal average annual comprehensive cost has been set up and anovel Cellular Particle Swarm Optimization (CPSO) based on PSO and CA are proposed to solve the nonlinearoptimization problem. The results of numerical simulation show that it is more reliable to obtain the optimal design byCPSO rather than by PSO. Furthermore, the minimal average annual comprehensive cost is 60 thousand Yuan producedby CPSO less than that by PSO.
机译:作为智能电网的重要组成部分,电动汽车在节能,低污染方面具有许多优势,成为研究热点。动态电源技术基于无线电源传输技术而得到迅速发展,可以有效地降低电动汽车的电池容量。本文针对分段动态电源轨道的优化设计问题,研究了分段动态电源轨道的优化设计。为了对断面进行优化设计,建立了年平均综合成本最低的数学模型,并提出了基于粒子群算法和CA的无源蜂窝粒子群算法(CPSO)来解决非线性优化问题。数值仿真结果表明,通过CPSO而不是PSO获得最佳设计更为可靠。此外,CPSO产生的最低年平均综合成本比PSO少6万元。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号