The Open Fuels & Energy Science Journal

2015, 8 : 318-323
Published online 2015 October 28. DOI: 10.2174/1876973X01508010318
Publisher ID: TOEFJ-8-318

Optimization Design of Sectional Dynamic Power Supply Track Based on Improved CPSO Algorithm

Qiang Hao , Zhou Xing , Zheng Jianfeng , Zhou Yalong and Wang Wei
School of Urban Track Transit, Changzhou University, Jiangsu, Changzhou, 213164, P.R. China.

ABSTRACT

As an important part of smart grid, EVs have many advantages in energy saving and low pollution and become a research hotspot. Based on the wireless power transfer technology, dynamic power supply technology develops rapidly and can effectively reduce the battery capacity of EVs. This paper the issue on the optimal design of sectional dynamic power supply track has been investigates the optimal design of sectional dynamic power supply track. For the optimal design of sectional tracks, a mathematical model of the minimal average annual comprehensive cost has been set up and a novel Cellular Particle Swarm Optimization (CPSO) based on PSO and CA are proposed to solve the nonlinear optimization problem. The results of numerical simulation show that it is more reliable to obtain the optimal design by CPSO rather than by PSO. Furthermore, the minimal average annual comprehensive cost is 60 thousand Yuan produced by CPSO less than that by PSO.

Keywords:

Cellular automata, cellular particle swarm optimization, dynamic power supply, optimal design, sectional track.