Characterization of interaction between electric vehicles and smart grid

Yan Zhang; Yongxiu He; Fengyu Su; Xiaoqing Wang; Diling Zhang

doi:10.1051/e3sconf/202123702004

All issues

Volume 237 (2021)

E3S Web Conf., 237 (2021) 02004

References

Open Access

Issue		E3S Web Conf. Volume 237, 2021 3^rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)


Article Number		02004
Number of page(s)		4
Section		Energy Conservation and Emission Reduction, Energy Science
DOI		https://doi.org/10.1051/e3sconf/202123702004
Published online		09 February 2021

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[1] LIU Qing, QI Zhongyi. The Load Forecast Model for Power Grid with the Accessing of Large-scale Electric Vehicles by Considering Spatial Motion Characteristics[J], Modern Electric Power, 2015, 32(1):76-82. [Google Scholar]

[2] Nguyen H K, Ju B S, Zhu H. Demand side management to reduce Peak-to-Average Ratio using game theory in smart grid. Computer Communications Workshops (INFOCOM WKSHPS), 2012:91-96. [Google Scholar]

[3] Shao S, Pipattanasomporn M, Rahman S. Challenges of PHEV penetration to the residential distribution network. Power & Energy Society General Meeting, 2009:1-8. [Google Scholar]

[4] Li X R, Hui J H, Qian J, et al. Influence of wind power generation on side Load modeling of distribution network. Power system automation, 2009, 33(13):89-94. [Google Scholar]

[5] Shang Y L, Sun B, Cui N X, et al. Study on charging Load of large-scale electric vehicles under different charging modes and its influence on power grid. Proceedings of the 33rd China Control Conference. Nanjing: 2013. [Google Scholar]