Abstract

Scientific and rational planning of urban electric vehicles (EVs) charging station is an important prerequisite for large scale EVs interact with smart grid friendly. This article realizes the planning assessment of EV charging station based on fuzzy matter element theory. The features of urban EV charging station are analyzed, and the evaluation index system of alternative charging station is established. The paper applies fuzzy matter element analysis method to obtain the optimal fuzzy matter element sequence with alternative points, and as a reference sequence. The weights of alternative points corresponding evaluation index are obtained by entropy method. Then, the paper applies the gray correlation analysis to calculate the gray relational weighing degree of fuzzy matter element sequence of alternative points, and determine the EV charging station plan based on the size of gray relational weighing degree. Finally, the simulation results show that the proposed method is effective and feasible for EV charging station planning.

Highlights

  • In recently years, with the improvement of China's social development and electric vehicles (EVs) ownership increased year by year

  • Many factors will affect the EV charging station planning program, that of can be summarized as the following aspects: 1)EV charging station should be built in the main roads or transportation hubs of urban city where the traffic flow is heavy and the consumption of electricity is large. 2)EV charging station should have a convenient entrance and exit

  • 4)Distribution of EV charging stations should avoid too concentrated to cause the waste of resources and ensure sufficient numbers of vehicle enter the charging station

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Summary

Introduction

With the improvement of China's social development and EV ownership increased year by year. Reference [4] analyzes impact factors during planning the location of charging station and adopts some indicators that include load ratio, payback period of investment, driven distance and degree of comprehensive satisfaction to evaluate the economy of charging station plan. The objective function of model is maximizing the charging station operation net present value revenue and its constraints including traffic flow of traffic network, power quality of distribution network, economic of power grid and requirements of charging users. The EV charging station planning program is selected according to the order of relevance degree. It is verified by simulation analysis and comparison with other methods

Evaluation index of ev charging station
Impact Factors Analysis EV Charging Station Planning
Evaluation Index System for EV Charging Station Location
Multidimensional Complex Fuzzy Matter element Matrix
Membership Matrix
Optimal Fuzzy Matter element Matrix
Entropy weight method
Gray Relational Analysis
Case studies
Design scale
Conclusion

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