Site selection for shared charging and swapping stations using the SECA and TRUST methods

With the increase in electric vehicle sales, the construction of charging and switching stations has caused unnecessary waste of land resources and load on the power grid, so it is necessary to consider the ''centralized charging and unified distribution'' model. Based on this, this paper proposes a shared charging and switching station model under the ''centralized charging and unified distribution'' model, in which centralized charging stations are built in suburban areas, and switching stations are built in urban areas. This model allows horizontal transfer between switching stations and establishes corresponding site selection decision guidelines. Considering that the existing charging and switching infrastructure can be converted into shared charging and switching station facilities, the MCDM (Multi-criteria Decision Making) method is used to select sites for shared charging and switching stations. The SECA method is used to determine the weight of each secondary criterion, and the TRUST method is used to rank the alternatives. The results show that the traffic flow and the impact on the residents' lives are important influencing factors for the location of the shared charging station, and the results show that the optimal solution is A(4). Sensitivity analysis is performed by calculating the weight of each criterion or subjective assignment by different MCDM methods. The results prove that the improved method can obtain more objective optimal solutions and analyze when The results prove that the improved method can obtain more objective optimal solutions and analyze the change in solution ranking when decision-makers value different indicators. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc- nd/4.0/).