Charging station planning method considering user charging experience and power distribution network operation risk

Abstract

The invention provides a charging station planning method considering user charging experience and power distribution network operation risks. The method comprises the following steps: step 1, establishing an electric vehicle load model; step 2, establishing a charging experience index, establishing an upper-layer comprehensive target for the charging station location and constant volume optimization target according to the charging experience index, the charging station construction cost and the user convenience, and proposing an upper-layer planning constraint condition; step 3, proposing ameta-point weighted Voronoi graph considering the spatial weight to carry out service range partitioning; step 4, establishing an upper-layer planning process by adopting a genetic tabu hybrid algorithm based on an upper-layer optimization target; step 5, establishing a lower-layer comprehensive target for a charging station load access node optimization target by taking the cost of the newly-built feeder line and the operation risk of the power distribution network; step 6, establishing a lower-layer planning process by adopting a cyclic replacement method based on the lower-layer comprehensive target. According to the invention, charging station planning can be carried out by integrating user charging experience, power grid operation conditions, charging station construction cost and other requirements.

Description

technical field [0001] This application relates to the field of charging station planning, in particular to a charging station planning method that considers user charging experience and distribution network operation risks. Background technique [0002] With the rapid development of electric vehicles, the demand for charging electric vehicles will increase rapidly, and the construction of charging stations that meet their charging needs is the basic guarantee for the rapid popularization of electric vehicles. [0003] During the implementation process, the inventor found that there are at least the following problems in the planning of traditional electric vehicle charging stations: [0004] In the Internet era, people pay more and more attention to the satisfaction of life experience; the planning and construction of charging stations are closely related to the charging experience of electric vehicle users; there are currently researches on the time spent on the charging r...

AI Technical Summary

Problems solved by technology

[0006] In order to ensure the planning of charging stations under the premise of safe operation of the power grid, most studies regard the operating state parameters of the power grid (such as voltage, current, and load power, etc.) It is difficult to avoid; at the same time, due to the randomness of electric vehicle charging, the uncertainty of the operating state of the distribution network increases. Focusing on the site selection and capacity optimization of charging facilities, little attention has been paid to the optimization of charging station load access nodes, simply assuming that the charging station load is connected to the corresponding load node nearby; but in fact, due to the different vulnerabilities of the nodes, the charging station load connection The operational risks brought by different nodes are different; therefore, it is of great engineering significance to reduce various operational risks through the optimization of charging load access nodes

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