Optimal Siting of Electric Vehicle Charging Stations Based on Voronoi Diagram and FAHP Method

Zheci Tang, Chunlin Guo, Pengxin Hou, Yubo Fan

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China.

DOI: 10.4236/epe.2013.54B266                

Abstract

The electric vehicle charging station should be allocated based on traffic density, geographical distribution and other factors, and Voronoi diagram is adopted to set the service area of charging station. In combination with the actual situation of site selection of electric vehicle charging station, the comprehensive benefits index system is established. There are numerous factors influencing the site selection, among which there are uncertainty and fuzziness. The comprehensive evaluation method based on the fuzzy analysis and Analytical Hierarchy Process (AHP) is used to evaluate the comprehensive benefits in the site selection of electric vehicle charging stations, with the consultation of experts. This paper contributes to the best selection of comprehensive benefits and provides the reference for the decision-making of building the electric vehicle charging station. Actual examples show that the method proposed is effective.

Keywords

Electric Vehicles; Charging Station; Voronoi Diagram; Fuzzy-AHP; Optimal Siting

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	F. Xu, G. Q. Yu, L. F. Gu, et al. Tentative analysis of layout of electrical vehicle charging stations,” East China Electric Power, Vol. 37, No. 10, 2007, pp. 1678 -1682.
[2]	F. Q. Zhou, Z. W. Lian, X. L. Wang, et al., “Discussion on Operation Mode to the Electric Vehicle Charging Station,” Power System Protection and Control, Vol. 38, No. 21, 2010, pp. 63-67.
[3]	J. H. Chen, D. Sheng, W. Li, et al., “A Model of Multi Objective Comprehensive Evaluation for Power Plant Projects,” Proceedings of the CSEE, Vol. 22, No. 12, 2002, pp. 152-155.
[4]	D. X. Niu, “The Gray Layer Analysis Method for Optimal siting of Thermal Power Plant,” Power System Technology, 1994, Vol. 18, No. 6, pp. 27-31.
[5]	Y. F. Zhao, J. F. Chen, W. L. Guo, “The Analytic Process and its Application in Power Decision-making System,” Relay, Vol. 33, No. 3, 2005, pp. 83-88.
[6]	J. G. Kang, Z. L. Wei, D. M. Cheng, et al., “Research on Electric Vehicle Charging Mode and Charging Stations Construction,” Power Demand Side Management, Vol. 11, No. 5, 2009, pp. 64-66.
[7]	C. Zhu, X. Ma and H. Gong, “Application of Fuzzy-AHP Model to the Decision-making of the Site Selection of Thermal Power Plant,” Safety and Environmental Engineering, Vol. 17, No. 1, 2010, pp. 82-86.
[8]	D. S. Wang, T. Liu and Y. H. Xie, “Substation Locating and Sizing Based on Hybrid Genetic Algorithm,” Automation of Electric Power Systems, 30, No. 6, 2006, pp. 30-34.
[9]	J. X. Yao, M. Wang and W. M. Luo, “Construction and Application of Charging Systems for Electric Mobiles,” East China Electric Power, Vol. 36, No. 8, 2008, pp. 107-110．
[10]	J. J. Xu, S. Y. Yang and J. Yuan, “A New Method of Selecting Location of Country's Transformer Substation Based on Fuzzy-AHP,” Electrical Engineering, Vol. 1, 2009, pp. 65-69.
[11]	Z. Dong, M. G. Han, C. Q. Xu, et al., “Application of the Analytic Hierarchy Process in Buried Rebuilding of Urban Electrical Network,” Relay, 2006, Vol. 34, No. 22, pp. 64-68.
[12]	R. R. Clarke, “Choosing an Integrated Resource Plan for Electric Utilities: An Analytic Hierarchy Approach,” Proceedings of the Intersociety Energy Conversion Engineering Conference, Washington, USA: IEEE, 1996, pp. 1592-1597.