Multi-objective optimization electric vehicle charging station planning method

A multi-objective optimization, electric vehicle technology, applied in the multi-objective optimization electric vehicle charging station planning field, can solve the problems of difficult charging of vehicle owners, unsatisfactory planning effect of the planning scheme, and high planning cost, so as to reduce the planning cost and improve the planning efficiency. Effect

Pending Publication Date: 2020-12-15
南通电力设计院有限公司 +1
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AI Technical Summary

Problems solved by technology

[0003] However, behind the rapid development of the number of charging piles, Liu Baohua, deputy director of the National Energy Administration, pointed out that "the overall utilization rate is less than 15%"
The current situation facing the charging market is that on the one hand, the charging infrastructure still needs to be vigorously built, and on the other hand, there are a large number of idle charging piles behind.
Domestically and internationally, there is no uniform international standard for the planning of charging stations and charging piles. Many planning schemes have unsatisfactory planning effects, unreasonable planning locations and numbers of charging stations and charging piles, and high planning costs, resulting in It is difficult for the owner to charge

Method used

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  • Multi-objective optimization electric vehicle charging station planning method
  • Multi-objective optimization electric vehicle charging station planning method
  • Multi-objective optimization electric vehicle charging station planning method

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Embodiment

[0050] See figure 1 and figure 2 The following specific embodiments of the present invention will be described in detail.

[0051] The current electric vehicle charging station plan did not consider the population density of the planning area, electric car ownership, traffic information and information distribution capacity. However, several factors have an impact on more than the normal operation of the electric vehicle charging station marked.

[0052] Therefore, planning electric vehicle charging station is necessary to consider population density planning area, electric car ownership, traffic information and information distribution capacity. In response to these problems, such asfigure 1 A multi flowchart shown Programming Method optimization target electric vehicle charging station, comprising the steps of:

[0053] Step 1: Determine the need for good planning according to budget the number of electric vehicle charging stations charging station and charging pile number.

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Abstract

The invention discloses a multi-objective optimization electric vehicle charging station planning method. Multiple objectives of the method mainly comprise population density, electric vehicle ownership, traffic conditions and power distribution capacity of a region. The method comprises the following steps: 1) determining the number of charging stations and charging piles which need to be planned; 2) dividing a demand domain for the region, wherein the demand domain is divided according to the vehicle density; 3) establishing a multi-objective function according to the population density, theelectric vehicle ownership, the traffic condition and the power distribution capacity of the region; 4) solving a demand margin value of each demand domain by utilizing a big data analysis method, and sorting the demand margin values of each demand domain from large to small; and 5) selecting several demand domains with the maximum demand domain degree values as charging station planning areas according to the number of the planned charging stations, and determining the number of the charging piles according to the demand domain degree value proportion of the selected demand domains. The charging station planning is simple and convenient, and the optimal scheme of the charging station planning layout can be quickly obtained.

Description

Technical field [0001] The present invention belongs to the technical field of a charging station plan, and more particularly, relates to an electric vehicle charging station planning method for a multi-objective optimization. Background technique [0002] With the rapid development of electric vehicles, charging infrastructure construction is lagging behind has become increasingly prominent, and even has affected the further development of electric vehicles. To this end, the state ministries jointly urge to promote charging infrastructure. Therefore, charging market to achieve explosive growth in 2017. Chinese electric vehicle charging infrastructure to promote Union statistics show that as of the end of 2017, China's new energy vehicle population over 1.7 million, accounting for about 55% of holdings, total private and public charging post more than 440,000 charging poles this number is 14 times by the end of 2014. [0003] However, behind the rapid growth in the number of char...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06F17/18G06F17/16G06F16/29
CPCG06Q10/06315G06Q10/04G06Q50/06G06F17/16G06F17/18G06F16/29Y02P80/10Y02D10/00
Inventor 周世濂陈勇朱培坤陈章勇李龙芳贲树俊顾乡张颖李楠宗强
Owner 南通电力设计院有限公司
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