Optimization of Spot Power Price in Coordinated Fast Charging Model of Electric Vehicles

Xiao Bo Tang; Cai Hong Zhao; Xue Hong Wu; Juan Zhang

doi:10.4028/www.scientific.net/AMM.448-453.3135

Paper Titles

Thermal-Mechanical Coupling Analysis of Power Spilt Device Gear Train
p.3115

A Novel Design of the CNG Dispenser Electronic Control System
p.3119

Research on the Control Strategy of Hybrid Energy Storage for Hybrid Electric Vehicles Based on Grid Partition and Adaptive Fuzzy Neural Network
p.3123

Research on Power Battery Ratio in Battery Exchanging Mode for Electric Vehicles Based on Monte Carlo Simulation
p.3129

Optimization of Spot Power Price in Coordinated Fast Charging Model of Electric Vehicles
p.3135

Natural and Forced Vibration of Hybrid Electric Vehicle Powertrain
p.3141

Research on EV Ordered Charging Considering TOU Price
p.3147

Dynamic Contact Analysis of Power Spilt Device in Energy Coupling and Decoupling
p.3154

Nonlinear Proportional Factor Control Strategy of Hybrid Energy Storage System for Hybrid Electric Vehicle
p.3158

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 448-453Optimization of Spot Power Price in Coordinated...

Optimization of Spot Power Price in Coordinated Fast Charging Model of Electric Vehicles

Abstract:

A real-time mechanism as a level of electricity price is proposed to dispatch electric vehicle fast charging load. Considering the peak load shifting effect of grid, the benefit of charging station and the desire of customer, the mathematics model is built. And a genetic algorithm is used to solve this problem. Finally, a simulation based on an areas predicted data of year 2020 is made to show that the proposed method can lower the peak-valley difference, promise charging station benefit as well as meet customers desire, and achieve a win-win result.

You might also be interested in these eBooks

Renewable Energy and Environmental Technology

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 448-453)

Pages:

3135-3140

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.448-453.3135

Citation:

Cite this paper

Online since:

October 2013

Authors:

Xiao Bo Tang*, Cai Hong Zhao, Xue Hong Wu, Juan Zhang

Keywords:

Desired Model, Electric Vehicle (EV), Fast Charging, Spot Pricing

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] CLEMENT-NYNS K, HAESEN E, DRIESEN J: IEEE Trans on Power Systems Vol. 25(2010), p.371.

Google Scholar

[2] SHAO Shengnan, PIPATTANASOMPORN M, RAHMAN S: Proceedings of IEEE Power & Energy Society General Meeting (2009), p.1.

Google Scholar

[3] YU Xiaolong: Proceeding of IEEE Power & Energy Society General Meeting (2008), p.1.

Google Scholar

[4] GE Shaoyun，HUANG Liu，LIU Hong，et al: Power System Protection and Contrtol Vol. 40(2012), p.1.

Google Scholar

[5] XU Zhiwei, HU Zechun, SONG Yonghua, et al: Automation of Electric Power Systems Vol. 36(2012), p.38.

Google Scholar

[6] UN Xiaoming, WANG Wei, SU Su, et al: Automation of Electric Power Systems Vol. 37(2013), p.191.

Google Scholar

[7] LIU Wen-xia，QIU Guo-bing，ZHANG Jian-hua，et al: Journal of Tianjin University, 45(2012), p.1110.

Google Scholar

[8] ZOU Wen, WU Fubao, LIU Zhihong: Automation of Electric Power Systems, Vol. 35(2011), p.62.

Google Scholar

[9] SIDDIQI S N, BAUGHMAN M L: IEEE Trans on Power Systems Vol. 8(1993), p.548.

Google Scholar

[10] QIN Zhenfang, YUE Shunmin, YU Yixin, et al: Automation of Electric Power Systems Vol. 28(2004), p.16.

Google Scholar

[11] TURTON H, MOURA F: Technological Forecasting and social Change Vol. 75(2008), p.1091.

Google Scholar