Electric vehicle charging station site selection method and system and related device

Abstract

The electric vehicle charging station site selection method provided by the invention comprises the following steps: determining the number of to-be-built electric vehicle charging stations accordingto an input demand; determining a preliminary site selection result satisfying the number of the electric vehicle charging stations in the target area by using a density-based adaptive k-means algorithm and a floyd shortest path algorithm; and respectively calculating the total cost of the various preliminary site selection results, and determining the preliminary site selection result with the lowest total cost as the site selection result of the electric vehicle charging station. According to the method, the actual shortest distance can be calculated by adopting the floyd shortest path algorithm, and compared with the Euclidean distance calculated in the prior art, the actual shortest distance better conforms to the actual condition and has more practical significance, so that the site selection of the electric vehicle charging station can be more reasonably determined. The invention further provides an electric vehicle charging station site selection system and device and a computerreadable storage medium which all have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of location selection of electric vehicle charging stations, and in particular, to a method, system, device and computer-readable storage medium for location selection of electric vehicle charging stations. Background technique [0002] As a new type of environmentally friendly travel tool with the advantages of low emission, low noise and high economy, electric vehicles are gradually favored by consumers and become the mainstream development direction of the automobile industry, with great development potential. With the rapid growth of the number of electric vehicles, the charging demand of electric vehicles is increasing, so the construction planning of electric vehicle charging stations has become a current hot issue. The construction of charging facilities is extremely important. If the planning is unreasonable, it will not only cause transmission congestion, increase power loss, reduce the voltage of r...

AI Technical Summary

Problems solved by technology

However, this method simply uses the Euclidean distance or adds a non-linear coefficient on the basis of the Euclidean distance when calculating the distance of different charging demand points and the distance from the charging demand point to the charging station to be selected, which leads to the location of the electric vehicle charging station. The plan is not reasonable enough

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