Site selection and sizing method for electric vehicle charging station

Abstract

The invention provides an electric vehicle charging station locating and sizing method comprising the following steps: analyzing and processing the initial traffic flow of each road node, obtaining the traffic flow information of each traffic node by using a flow correction coefficient to obtain the charging demand, and generating an urban road CAD drawing according to the regional division of a planning area; calculating the distance from each node to the alternative charging station, and estimating the maximum number of established stations and the minimum number of established stations according to the maximum service capability, the minimum service capability and the charging demand of the charging station; according to the determined charging station number range, the service range and the charging station grade, randomly selecting the charging station according to the site of the alternative station; taking the sum of the construction cost, the operation and maintenance cost, the network loss cost and the path loss cost as a total objective function, and taking the charging demand of the electric vehicle, the number of charging piles, the capacity and the planning area power as constraint conditions to construct a charging station locating and sizing model; and in combination with the traffic flow and the charging demand quantity of each traffic node, an improved whale optimization algorithm is adopted to solve the charging station locating and sizing model.

Description

technical field [0001] The invention relates to a method for site selection and capacity determination of an electric vehicle charging station. Background technique [0002] With the rapid development of urban economy and society, major breakthroughs have been made in electric vehicle related technologies, and the gradual popularization in China has also given certain opportunities to the automobile industry and manufacturing industry. The production and promotion of electric vehicles and related charging facilities will also become the future development of the industry focus. The technology of electric vehicles is relatively mature, but there is still no effective solution to the problem of battery capacity. Therefore, the location and capacity of charging stations are extremely important. Scientific and reasonable selection of charging station locations is also important for rapid economic growth and grid stability. Running has significance, for example: [0003] Yu et ...

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to provide a method for location selection and capacity determination of electric vehicle charging stations. By improving the traditional whale algorithm, the problem of location selection and capacity determination for charging stations can be optimized and solved, and at the same time, it can overcome the low charging efficiency of electric vehicles and the idleness of charging stations. question

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