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

Electric automobile charging station orderly charging method based on double-layer optimization algorithm

An electric vehicle, double-layer optimization technology, applied in the direction of electric vehicle charging technology, electric vehicles, charging stations, etc., to achieve the effects of reducing travel time and charging costs, optimizing scheduling, and reasonable space-time allocation

Active Publication Date: 2020-01-31
STATE GRID JIANGSU ELECTRIC POWER CO LTD NANTONG POWER SUPPLY BRANCH
View PDF6 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the charging methods currently studied assume that electric vehicles adopt slow or fast charging modes. In the future, charging stations can provide multiple charging modes such as slow charging, fast charging, and battery replacement, and formulate dynamic time-of-use charging electricity prices to guide electric vehicle users according to their own needs. Need to choose, but so far there are few literature designs

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 automobile charging station orderly charging method based on double-layer optimization algorithm
  • Electric automobile charging station orderly charging method based on double-layer optimization algorithm
  • Electric automobile charging station orderly charging method based on double-layer optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The specific implementation of a method for orderly charging an electric vehicle charging station based on a double-layer optimization algorithm according to the present invention will be described in detail below in conjunction with the accompanying drawings.

[0057] figure 1 It is an orderly charging control framework for electric vehicle charging stations, which mainly includes a three-layer structure: distribution network management layer, charging station operation layer, and electric vehicle user layer. There is a complete communication network among the three layers for necessary information exchange. The control core of distribution network management is the centralized management system (Centralized Management System, CMS), which includes dispatcher and power flow calculation program. The scheduling program controls the charging load of each charging station at any time; the power flow calculation program checks whether the constraints such as voltage and cur...

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 provides an electric automobile charging station orderly charging method based on a double-layer optimization algorithm. The genetic algorithm is adopted in an upper layer to encode dispatching plans Pj,t of various charging stations, an initial population is formed, a fitness function is F, then the algorithm is used for iteration, and the Pj,t optimal solution is finally obtained;then, the optimal solution is transmitted to various charging stations of a lower layer; an electric automobile charging path selecting mechanism is considered in the lower layer, and an ant colony algorithm is adopted for solving; electric automobile parameters, position information, charging station information and the like are input firstly, the lower-layer model minimum dispatching deviation function f1 is calculated, based on the minimum deviation and constraint, the ant colony algorithm is adopted for calculating the target function f, an electric automobile optimal charging scheme is formed, return to the upper layer is conducted for continuous optimization, and according to the solving end condition, the upper-lower-layer dispatching deviation meets the convergence criterion. The upper layer model optimization target is load peak clipping and valley filling, and a lower layer model is used for shortening the electric automobile charging outgoing time and reducing the charging expense.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles, in particular to an orderly charging method for electric vehicle charging stations based on a double-layer optimization algorithm. Background technique [0002] In recent years, the global energy crisis has become increasingly prominent, the harm of air pollution and global temperature rise has been increasing, and people's attention to energy and environmental issues has also been increasing. Automobiles are an important means of transportation for people, and traditional vehicles mainly provide energy supply in the form of fuel, and most of them have the disadvantages of high energy consumption and high pollution. While promoting economic development, the traditional automobile industry has also exacerbated the problems of energy shortage and environmental degradation. Electric vehicles can not only reduce the impact of transportation network on climate change because of their energy ...

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
IPC IPC(8): B60L53/60B60L53/63B60L53/64
CPCB60L53/60B60L53/63B60L53/64Y02T10/70Y02T10/7072Y02T90/12
Inventor 沈华林林陈葛亮殷俊李勇生金震胡楠傅慧华张丁溶
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD NANTONG POWER SUPPLY BRANCH
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