Electric facility charging station site selection optimization method and device and storage medium

An optimization method, charging station technology, applied in the fields of genetic laws, instruments, data processing applications, etc., to solve the problem of site selection, meet the needs and convenience, and minimize the cost.

Inactive Publication Date: 2019-04-26
FAW VOLKSWAGEN AUTOMOTIVE CO LTD
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present invention proposes an optimal site selection method, device, and storage medium for electric facility charging stations, which can solve the problem of site selection for electric facility charging stations, while ensuring the minimum cost and extending the coverage to the entire Zones to meet driver needs and convenience

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 facility charging station site selection optimization method and device and storage medium
  • Electric facility charging station site selection optimization method and device and storage medium
  • Electric facility charging station site selection optimization method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] figure 1 A flow chart of a method for optimizing the site selection of a charging station for electric facilities provided by an embodiment of the present invention, as shown in figure 1 As shown, the method specifically includes:

[0076] 101. Based on multiple constraint conditions, establish an optimization model for site selection of electric facility charging stations, where the multiple constraint conditions include at least cost constraints, charging station capacity constraints, and coverage constraints.

[0077] In this embodiment, each of the plurality of constraint conditions is defined according to a plurality of parameters related to the optimization problem of siting of electric facility charging stations.

[0078] Multiple parameters are defined as follows:

[0079] I={1,...,m} represents the collection of demand points in residential quarters;

[0080] J={1,...,n} represents a possible collection of charging stations;

[0081] f j Indicates the inve...

Embodiment 2

[0158] Figure 9 A structural block diagram of an electric facility charging station site selection optimization device provided by an embodiment of the present invention. The electric facility charging station site selection optimization device is used to implement the electric facility charging station site selection optimization method as in Embodiment 1, such as Figure 9 As shown, the device includes:

[0159] A model building module 91, configured to establish an optimization model for site selection of electric facility charging stations based on multiple constraints, where the multiple constraints include at least cost constraints, charging station capacity constraints, and coverage constraints;

[0160] The model solution module 92 is used to solve the optimization model for the site selection of the electric facility charging station by using the genetic algorithm.

[0161] The site selection optimization device for electric facility charging stations provided in th...

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 discloses an electric facility charging station site selection optimization method, a device and a storage medium and belongs to the field of electric facility charging station planningoptimization, and the method comprises the following steps: establishing an electric facility charging station site selection optimization model based on a plurality of constraint conditions which atleast comprise a cost constraint condition, a charging station capacity constraint condition and a coverage constraint condition; And solving the electric facility charging station site selection optimization model by adopting a genetic algorithm. According to the embodiment of the invention, the problem of site selection of the electric facility charging station can be solved, meanwhile, the minimum cost is ensured, and the coverage area is extended to the whole area to meet the requirements and convenience of drivers.

Description

technical field [0001] The invention relates to the field of planning and optimization of charging stations for electric facilities, in particular to a method and device for optimizing the location of charging stations for electric facilities based on genetic algorithms. Background technique [0002] In today's world, energy and environmental problems are becoming more and more prominent. The shortage of traditional fuel energy and the harm to the environment make people turn their attention to a new direction, that is, the field of new energy. The development and utilization of new energy not only improves the human energy structure, but also meets the long-term goal of sustainable development. As a new type of energy-saving and environment-friendly means of transportation, electric vehicles have gradually become the focus of attention of countries all over the world, and are an inevitable trend in the development of the automobile industry. Advanced electric facility tech...

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): G06Q10/04G06Q10/06G06Q50/06G06N3/12
CPCG06N3/126G06Q10/04G06Q10/06315G06Q50/06
Inventor 陈双双赵瑜东石磊肖强
Owner FAW VOLKSWAGEN AUTOMOTIVE CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap