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Intelligent charging station site selection optimization method based on fuzzy TOPSIS method

An optimization method and charging station technology, applied in the field of smart charging stations, to achieve the effects of strong operability, strong objectivity, and simple and clear calculation process

Pending Publication Date: 2021-03-16
国网辽宁省电力有限公司营销服务中心 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These methods only consider the influence of single or several factors, which are somewhat one-sided.

Method used

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  • Intelligent charging station site selection optimization method based on fuzzy TOPSIS method
  • Intelligent charging station site selection optimization method based on fuzzy TOPSIS method
  • Intelligent charging station site selection optimization method based on fuzzy TOPSIS method

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Embodiment Construction

[0051] The present invention will be further elaborated below in conjunction with the accompanying drawings of the description.

[0052] Such as figure 1 As shown, the present invention provides a smart charging station location optimization method based on the fuzzy TOPSIS method, comprising the following steps:

[0053] 1) Establish an evaluation index system related to the site selection of unattended smart charging stations;

[0054] 2) Evaluate the selected indicators, use triangular fuzzy numbers to represent the evaluation indicators, and then obtain the performance of the evaluation indicators and their corresponding weights for each site selection scheme;

[0055] 3) Use the TOPSIS method to sort all the alternatives and select the best location scheme.

[0056]In step 1), when building a smart charging station, the rationality of its planning must first be considered. It not only needs to meet the charging needs of electric vehicle users and improve the convenienc...

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Abstract

The invention discloses an intelligent charging station site selection optimization method based on a fuzzy TOPSIS method. The intelligent charging station site selection optimization method comprisesthe following steps: 1) establishing an evaluation index system related to unattended intelligent charging station site selection; 2) evaluating the selected indexes, using a triangular fuzzy numberto represent the evaluation indexes, and further obtaining the evaluation index performance and the corresponding weight of each site selection scheme; and 3) sorting all the alternative schemes by using a TOPSIS method, and selecting an optimal site selection scheme. According to the invention, the problem of a fuzzy phenomenon generated in the evaluation process of the evaluation indexes can bewell solved, the calculation process is simple and clear, the influence of subjective factors on the evaluation process is small, and the method has high objectivity and high operability in the wholeevaluation process.

Description

technical field [0001] The invention relates to a smart charging station in the field of energy planning, in particular to a method for optimizing the location of a smart charging station based on a fuzzy TOPSIS method. Background technique [0002] With the deterioration of the environment and the shortage of traditional energy, the development and utilization of new energy has received more and more attention. As a typical representative of the use of new energy sources, the development of electric vehicles is very important. However, problems such as imperfect basic charging facilities for electric vehicles and imperfect charging networks have hindered the rapid development of the electric vehicle industry. Based on this problem, in the urban planning of modern society, the site selection and planning of smart charging stations for electric vehicles should be fully considered. [0003] The current common charging station location optimization method is mainly to establi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N7/02
CPCG06Q10/04G06Q10/06393G06Q50/06G06N7/02
Inventor 赵旭亮陈洪禹孙殿家吴彤薛激光黄川薛思萌周思成武珺张潇祺秦悦维张笑怡杨徐东孙宏伟顾迎
Owner 国网辽宁省电力有限公司营销服务中心
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