Electric vehicle charging station planning method based on gravitation search algorithm

A gravitational search algorithm, electric vehicle technology, applied in electric vehicle charging technology, electric vehicles, charging stations, etc., can solve the problems of feeder current exceeding line capacity, node voltage fluctuation, large charging current, etc., to achieve rapid and convenient charging services , to meet the effect of safe operation

Inactive Publication Date: 2019-07-19
JIANGSU ELECTRIC POWER CO
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From the perspective of service facilities, the planning of electric vehicle charging stations should meet the charging needs of users as much as possible, so that users can quickly and conveniently complete charging in the shortest possible time; The power grid needs to supply power to the charging station through the distribution transformer. Because the charging current of the charging station is large and the charging load has an obvious peak period, after connecting to the distribution network, it will cause adverse effects such as node voltage fluctuations and feeder current exceeding the line capacity. Therefore, its The planning must meet the requirements for the safe operation of the distribution network

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electric vehicle charging station planning method based on gravitation search algorithm
  • Electric vehicle charging station planning method based on gravitation search algorithm
  • Electric vehicle charging station planning method based on gravitation search algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, not to limit the present invention.

[0056]As an aspect of the present invention, a method for planning an electric vehicle charging station based on a gravity search algorithm is provided, wherein, such as figure 1 As shown, the electric vehicle charging station planning method based on the gravitational search algorithm includes:

[0057] S110. Obtain relevant information of the planned area, wherein the relevant information includes information on the traffic network in the planned area, informatization of the distribution network in the planned area, and information on the mileage of electric vehicles;

[0058] S120. Estimate the range of the number of charging stations in the planning area;

[0059] S130. Ca...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of electric vehicles, particularly discloses an electric vehicle charging station planning method based on a gravitation search algorithm. The electric vehicle charging station planning method based on the gravitation search algorithm comprises the steps of obtaining the related information of a planning area, wherein the related information comprises the planning area traffic network information, the planning area power distribution network informatization and the electric vehicle driving range information; estimating the range of the number of charging stations in the planned area; calculating the whole social cost of all charging stations in the planned area according to a gravitation search algorithm; comparing all the social costs of all the charging stations to obtain a planning scheme corresponding to the lowest cost. According to the electric vehicle charging station planning method based on the gravitational search algorithm, the charging station can be reasonably planned in a city with insufficient land, the requirement for safe operation of a power distribution network is met, and the rapid and convenient charging service canbe provided for vehicles.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a method for planning electric vehicle charging stations based on a gravitational search algorithm. Background technique [0002] Electric vehicles (Electric Vehicles, EVs), as a means of transportation gradually promoted by the modern automobile industry under the background of fossil energy crisis and environmental pollution, are favored by the world for their good environmental and social benefits such as zero exhaust emissions and low noise pollution. wide attention from all over the world. Perfect charging facilities are a prerequisite for the promotion of electric vehicles. Experts have confirmed that among the many factors affecting the development of electric vehicles, the importance of charging facilities is second only to battery technology. Unreasonable planning of charging infrastructure will lead to idle charging stations, waste or overcrowded charging sta...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06B60L53/60
CPCB60L53/60G06Q10/06315G06Q50/06Y02T10/70Y02T10/7072Y02T90/12
Inventor 陈铭陈黎军缪立恒傅雨婷沈海平孙国强惠峻臧海祥刘志仁汤铮武瑛
Owner JIANGSU ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products