Charging and Discharging Control of Plug-In Electric Vehicle Based on Immune Clone Algorithm

Min Wang; Yang Zhang; Yong Qing Li; Cheng Fei Zhang; Yue Yuan

doi:10.4028/www.scientific.net/AMR.805-806.1672

Paper Titles

Three-Stage Precise Converter in EV Charging-Discharging-Storage Integration Station
p.1650

Online State-of-Charge Estimation of Li-Ion Battery Based on the Second-Order RC Model
p.1659

Study on Effect of Electric Vehicle Industry to Energy and Environment
p.1664

Enhanced Electrochemical Performance of [Ni₄Al(OH)₁₀]OH by Mechanically Blending Nanometric Zinc Oxide
p.1668

Charging and Discharging Control of Plug-In Electric Vehicle Based on Immune Clone Algorithm
p.1672

Evaluation Method of Regenerative Braking for Electric Vehicles
p.1678

Research on Driving Factors of Green Innovation in China’s Auto Parts Manufacturing Enterprises
p.1685

State of Charge Estimation of Power Lithium-Ion Battery Based on Sliding Mode Observer
p.1692

Study on Cutting Tooth Strength of Spiral Drilling Shearer Based on LS-DYNA
p.1703

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806Charging and Discharging Control of Plug-In...

Charging and Discharging Control of Plug-In Electric Vehicle Based on Immune Clone Algorithm

Abstract:

When a large scale of plug-in electric vehicles connected to the grid,which will be bound to deteriorate the load curve and will affect the safe and stable operation of the grid without a reasonable means of control. Immune clone algorithm is applied to control the electric vehicles charging and discharging strategy and to develop a optimized scheduling scheme throughout the day. In this way not only can it avoid electric vehicles disorderly charging and discharging disorderly so that to optimize grid load curve, but also can reduce the loss of electric power lines and delay investment.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

1672-1677

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.805-806.1672

Citation:

Cite this paper

Online since:

September 2013

Authors:

Min Wang*, Yang Zhang, Yong Qing Li, Cheng Fei Zhang, Yue Yuan

Keywords:

Immuneclone Algorithm, Load Curve, Plug-In Electric Vehicles, Variance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Tao Cheng. Hunan Electric Power, 2000, 4(20): 20-22. [In Chinese].

Google Scholar

[2] Ruilan Tian, Jinglin Fan. Rural Electrification, 1995(10): 23-45.

Google Scholar

[3] Weihua Wang, Huimin Zhang, Fang Chen. Power System Technology, 2004, 9(18): 80-81. [In Chinese].

Google Scholar

[4] Jiajia Xu, Xin Ai, Peng Jin, Xin Wei. East China Electric Power, 2011, 12(12): 2046-2048. [In Chinese].

Google Scholar

[5] Tongke Zhong. South China University of Tech`nology, 2012, 5. [In Chinese].

Google Scholar

[6] Wenqi Tian, Jinghan He, Jiuchun Jiang. Power System Technology, 2012, 11(36): 25-29. [In Chinese].

Google Scholar

[7] Suqi Zhang, Enhai Liu, Ya He, Yongfeng Dong. Computer Engineering and Science, 2011, 12(33): 94-97. [In Chinese].

Google Scholar

[8] Ai-ling Chen, Qiang Guo. An Effective Hybrid Optimization Algorithm based on Self-adaptive Particle Swarm Optimization Algorithm and Artificial Immune Clone Algorithm[C]. Fourth International Conference on National Computation, Jinan, ShanDong, China, 18-20 Oct. (2008).

DOI: 10.1109/icnc.2008.678

Google Scholar

[9] Licheng Jiao, Ronghua Shang, Wenping Ma. Multiobjective optimization of immune algorithm, theory and application [M]. Beijing: Science Press. (2010).

DOI: 10.1109/cec.2009.4983160

Google Scholar