Siting and Sizing Optimization for Electric Taxi Charging Station based on Full Life Cycle

Abstract

As the key for building the new power system and achieving the "dual-carbon" goal, the development of electric vehicle industry is closely connected with the supporting and improvement of charging and swapping infrastructure. However, the difficult cost recovery and unbalanced regional development appeared due to the low utilization as well as nonstandard siting and sizing of charging and swapping infrastructure. In order to guide the investment and construction of charging and swapping infrastructure correctly and effectively, it is essential to conduct in-depth research with respect to siting and sizing of charging and swapping infrastructure at this stage. On the basis of Particle Swarm Optimization, this paper builds an optimization model of siting and sizing for the fast charging stations through dividing regions in accordance with the charging demand of electric taxi, the geographical information of inapplicable location and other factors. The case result indicates that the model proposed herein is capable of improving economic benefits of investment operators and guiding the investment and construction of AC charging piles by means of maximizing the net income of the charging station throughout full life cycle, and determining the geographic location of charging stations and the quantities of charging piles to be configured. After optimizing the location of charging stations, it can maximize life-cycle net incomes of 675.86 million yuan and determine the optimized amounts of charging piles in each charing station are 159, 339 and 563, respectively.