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

An Electric Vehicle Charging Optimization Guidance Strategy Considering the Reward Mechanism

A technology of electric vehicles and mechanisms, applied in the field of power system, can solve the problem of unconvincing optimization results

Active Publication Date: 2021-12-31
SHANXI UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Literature [7] takes the distribution network load in residential areas as the research object, considers the charging demand of electric vehicles, and optimizes the charging of electric vehicles with the goal of minimizing network loss, but it assumes that electric vehicle users are willing to join in the orderly charging plan , the charging of electric vehicles is completely controllable within the optimization time period; and the charging of electric vehicles is relatively evenly distributed at each node of the distribution network, and the state of charge and battery capacity of electric vehicles before charging are set. The optimization results do not have persuasive

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
  • An Electric Vehicle Charging Optimization Guidance Strategy Considering the Reward Mechanism
  • An Electric Vehicle Charging Optimization Guidance Strategy Considering the Reward Mechanism
  • An Electric Vehicle Charging Optimization Guidance Strategy Considering the Reward Mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0097] An electric vehicle charging optimization guidance strategy considering the reward mechanism. The guidance strategy proposes a charging optimization management scheduling framework, and establishes a reward mechanism for users in reducing grid load fluctuations on the basis of time-of-use electricity prices; based on the charging optimization management scheduling framework, it proposes considerations The electric vehicle charging optimization guidance strategy based on the incentive mechanism, electric vehicle users with uncertainty in the choice of charging location and users with relatively fixed charging locations, consider the travel needs of users, determine the charging location and charging time of electric vehicles, and establish a consideration reward The electric vehicle charging optimization guidance strategy model of the mechanism, specifically includes the following steps:

[0098] Step 1. Proposing a charging optimization management scheduling framework: c...

Embodiment 2

[0157] Parameter setting: Taking a certain area as an example to carry out the optimization and guidance analysis of electric vehicle charging, the charging location and time of buses are relatively fixed, and the analysis objects of electric vehicles are mainly private cars and taxis. The configuration parameters are shown in Table 2. The randomness of taxi space transfer is relatively large, the charging location is relatively flexible, the charging power is 40Kw, the coefficient of charging driving cost and waiting cost is 1, and private cars can be located in work areas or commercial areas according to travel needs. Charging at the parking spot, you can also go back to the place of residence for charging. The charging time in residential areas has a large margin, and slow charging is preferred, and the charging power is 7kw; the power consumption per unit mileage of electric vehicles is 0.2kW·h / km, S min Take 0.2, S max Take 0.95, and the charging efficiency η of the charg...

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 belongs to the field of power systems, and in particular relates to an electric vehicle charging optimization guidance strategy considering a reward mechanism. The existing technology has little consideration in mobilizing the enthusiasm of users, and at the same time, it does not fully reflect the configuration information and travel characteristic information of electric vehicles. Configuration information such as battery capacity of electric vehicles and the state of charge at the time of charging will affect the charging time of electric vehicles. The present invention mainly considers the rewards and charging costs of electric vehicles in reducing load fluctuations, and considers the travel needs of users, thereby determining the optimal charging period for electric vehicles; introducing charging stations to reduce the peak-to-valley difference of the power grid and the rewards of load fluctuations Finally, the proposed optimization scheduling model is solved by using a real-time optimization algorithm for the dynamic response of electric vehicles.

Description

technical field [0001] The invention belongs to the field of power systems, and in particular relates to an electric vehicle charging optimization guidance strategy considering a reward mechanism. Background technique [0002] Electric vehicles have attracted more and more attention from various countries in terms of energy saving, emission reduction and environmental improvement, and have been actively promoted and applied in many fields. With the continuous increase in the number of electric vehicles, the disorderly charging of a large number of electric vehicles will increase the grid load. The peak-to-valley difference causes increased network loss, affects the power quality of the distribution network system, and poses a threat to the safe and stable operation of the power grid. A reasonable optimal dispatch strategy can effectively limit the negative impact of disorderly charging of electric vehicles on the power system, reduce the load peak-valley difference of the po...

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 Patents(China)
IPC IPC(8): B60L53/66B60L53/64
CPCB60L53/665B60L53/64Y02T10/40Y02T10/70Y02T10/7072Y02T90/12Y02T90/16
Inventor 赵兴勇高鹏彦张建宏
Owner SHANXI UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com