Electric vehicle charging station site selection modeling method based on improved whale algorithm

A technology of electric vehicle and modeling method, applied in the field of electronic information, to achieve the effect of optimal location, high precision and calculation speed

Inactive Publication Date: 2021-01-01
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] 4. Charging time
[0014] To sum up, in the modeling process of charging station site selection, it is limited by many factors

Method used

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  • Electric vehicle charging station site selection modeling method based on improved whale algorithm
  • Electric vehicle charging station site selection modeling method based on improved whale algorithm
  • Electric vehicle charging station site selection modeling method based on improved whale algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0181] Step 1: Construction of a location model for electric vehicle charging stations with limited service capacity to minimize costs

[0182] 100 demand points, 25 charging station construction candidate points and 5 power plant locations are randomly generated in the planning area, such as figure 2 As shown, the sequence numbers and position coordinates of demand points, candidate points, and power plants are shown in Table 2,

[0183] Table 3, Table 4 shown. where x 0 is the abscissa, y 0 is the vertical coordinate.

[0184] Table 2 Serial numbers and location coordinates of demand points

[0185]

[0186] Table 3 The serial numbers and position coordinates of the candidate points for charging station construction

[0187]

[0188] Table 4 Power plant serial number and location coordinates

[0189]

[0190] Step 2: Construction of an improved whale algorithm

[0191] The present invention constructs an improved whale algorithm. In order to verify the optim...

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PUM

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Abstract

The invention discloses an electric vehicle charging station site selection modeling method based on an improved whale algorithm, and belongs to the technical field of electronic information. Firstly,the influence of service capacity factors is added on the basis of traditional charging station site selection research, and an electric vehicle charging station site selection model which minimizesthe cost and limits the service capacity is constructed; secondly, on the basis of the whale optimization algorithm, an improved whale algorithm is provided by introducing a Gaussian operator, differential evolution variation of a differential evolution algorithm and congestion degree factors in rear-end collision behaviors of an artificial fish swarm algorithm. Finally, the optimal site selectionresult is calculated by adopting an improved whale algorithm on the basis of the electric vehicle charging station site selection model for limiting the service capacity and minimizing the cost. Simulation results show that the model can effectively achieve the goal of minimizing social cost, and has certain theoretical value and reference significance for site selection work of the electric vehicle charging station.

Description

technical field [0001] The invention belongs to the technical field of electronic information, and designs an electric vehicle charging station site selection modeling method based on an improved whale algorithm. Background technique [0002] With the rapid development of the world economy and the advancement of modern science and technology, electric vehicles are widely used as a new type of environmentally friendly transportation. The development of electric vehicles can provide better influence on the sustainable development of social production and management, people's life, resources and environment. Charging stations are the basic supporting service facilities that must be available during the operation of electric vehicles. First of all, in the operation of the urban electric vehicle system, the location of the electric vehicle charging station should meet the city's charging demand for electric vehicles, according to the layout characteristics of urban public facili...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/06G06N3/00
CPCG06N3/006G06Q30/0205G06Q50/06
Inventor 张浩唐蕾
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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