Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wind and light storage capacity configuration method considering full life cycle of electric vehicle charging station

A full life cycle, electric vehicle technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as difficult to reduce dependence, low indirect carbon emissions, etc.

Inactive Publication Date: 2021-07-06
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the primary energy on the power generation side of my country's power system is still dominated by coal (accounting for about 75% to 80%). Electric vehicles are directly connected to the grid for charging through the charging infrastructure, and the actual indirect carbon emissions generated are not higher than those of traditional fuel vehicles. low and difficult to reduce dependence on traditional fossil fuels

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
  • Wind and light storage capacity configuration method considering full life cycle of electric vehicle charging station
  • Wind and light storage capacity configuration method considering full life cycle of electric vehicle charging station
  • Wind and light storage capacity configuration method considering full life cycle of electric vehicle charging station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] The preferred implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0076] According to the present invention, a wind-solar storage capacity configuration method that takes into account the full life cycle cost of the charging station and the utilization rate of renewable energy, figure 1 It is the structural model of the wind-solar-storage electric vehicle charging station, including wind turbine equipment, photovoltaic battery equipment, energy storage battery equipment, charging and discharging machines and other devices. target model.

[0077] figure 2 It is the flow chart of capacity allocation of the present invention considering the net operating income of the charging station and the utilization rate of renewable energy. The largest multi-objective optimization model, followed by a multi-objective group search algorithm (MGSOACC) based on adaptive covariance and chaotic search to sol...

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 a wind and light storage capacity configuration method considering the full life cycle of an electric vehicle charging station. The method is characterized by comprising the following steps of: introducing an LCC (Life Cycle Cost) theory, and performing an objective function of a charging station configuration scheme by taking maximum net present value income and maximum renewable energy utilization rate obtained by a charging station operator as objectives; a multi-target group search algorithm (MGSOACC) based on adaptive covariance and chaos search is provided to solve a Pareto optimal solution set of the multi-target optimization problem, and the global search capability of the algorithm is improved by using a chaos search method. And finally, selecting an optimal compromise solution as an optimal scheme from the Pareto optimal solution set by applying a fuzzy set theory so as to realize the optimal capacity configuration of the wind and light storage electric vehicle charging station. According to the method, the optimal capacity configuration problem of the wind and light storage electric vehicle charging station is well solved, and the obtained configuration scheme has good comprehensive efficiency in the aspects of economy and environmental protection.

Description

technical field [0001] The invention relates to energy and electric power, in particular to a method for configuring wind-solar storage capacity considering the entire life cycle of an electric vehicle charging station. Background technique [0002] Energy is an important support for national development and construction. The rational and sustainable development of the energy industry is not only conducive to ensuring national security, but also an important prerequisite for national economic development. In recent years, with the consumption of fossil energy and the intensification of environmental problems, the development and utilization of renewable energy has gradually attracted the attention of various countries. It is foreseeable that building an energy supply system that utilizes a large amount of renewable energy will become a future development trend. The most significant advantages of renewable energy are clean, environmentally friendly and renewable. In addition ...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 高辉虞小辉曹佳男
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products