Study on Optimal Scale and Layout of Electric Vehicle Charging Stations Based on Chaotic PSO Algorithm

Can Qi; Ya Feng Wen; Duo Yang; Wei Liu; Guo Liang Wu

doi:10.4028/www.scientific.net/AMM.385-386.1869

Paper Titles

Development and Application of the Railway Transportation Management Information System
p.1848

An Integrated Production System Model and Project Plan Restricted Pull-Way Production Control Method for Lean Shipbuilding
p.1852

Study of Production Scheduling of the Digital Workshop on Limited Cache Area
p.1860

Modeling and Analysis of the Manufacturer Model of Remanufacturing Closed-Loop Supply Chain Under Uncertain Demand
p.1863

Study on Optimal Scale and Layout of Electric Vehicle Charging Stations Based on Chaotic PSO Algorithm
p.1869

Applications of Interval Theory in the Evaluation and Decision Making of Power System Projects
p.1873

Parametric Design Study of the Nonstandard Serialized Assembly
p.1879

Design of a Confidentiality and Access Control Solution for Content-Based Publish/Subscribe Systems
p.1883

Application of Participatory Sensing in Meteorological Information Service System
p.1887

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Study on Optimal Scale and Layout of Electric...

Study on Optimal Scale and Layout of Electric Vehicle Charging Stations Based on Chaotic PSO Algorithm

Abstract:

The index of investment cycle cost (ICC) and users convenience of electric vehicles are presented. Based on the aim to minimizing investing unit and user fees, fix a charging station model in scales and layouts. ICC consist initial investments, cost of network losses and investments for new transmission lines. Convenience is measured by electrical power consumption expense from users to the charging station. Adding constraint of grid security and economical efficiency, the optimization aim function was set which comprehensively considers investors and users cost and operation of power grid. Chaos Particle Swarm Optimization Algorithm (CPSO) was used to settle it. By empirical study of certain planning area, the proposed model and algorithm are proved to be scientific and effective.

You might also be interested in these eBooks

Applied Scientific Research and Engineering Developments for Industry

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1869-1872

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1869

Citation:

Cite this paper

Online since:

August 2013

Authors:

Can Qi, Ya Feng Wen, Duo Yang, Wei Liu, Guo Liang Wu

Keywords:

Charging Stations, CPSO, Electric Vehicle (EV), Investment Cycle Costs, Users Convenience

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wu Chunyang, Li Canbing, Du Li: Automation of Electric Power Systems. Forum Vol. 36-40(2010), p.24.

Google Scholar

[2] Xu Fan, Yu Guoqin, Gu Linfeng: East China Electric Power. Forum 1678-1682(2010), p.10.

Google Scholar

[3] Liu Zhipeng, Wen Fushuan, Xue Yusheng: Automation of Electric Power Systems. Forum Vol. 54-59(2012), p.3.

Google Scholar

[4] Chen Liangliang, Zhang Hao, Ni Feng: Automation of Electric Power Systems. Forum Vol. 11-17(2011), p.14.

Google Scholar

[5] Idaho Falls: Plug-in hybrid electric vehicle charging infrastructure review. (2008).

Google Scholar

[6] Liu Zifa, Tianjin: Tianjin University (2005).

Google Scholar

[7] Beijing Bureau of Quality and Technical SupervisionDB11/Z 728—2010 Technical specifications of electricity supply and assurance for electric vehicle: electric vehicle charging stations.

Google Scholar

[8] Liu zifa, Zhang wei, Wang zeli: Proceedings of the Chinese Society for Electrical Engineering. Forum Vol. 39-45(2012), p.22.

Google Scholar

[9] Jun He, Buxiang Zhou, Chao Feng: Automation of power systems 2012, 403(406): Forum Vol. 7-9(2012) , p.406.

Google Scholar