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

Distributed optimization method of charging power of electric automobiles in aggregator

A charging power, electric vehicle technology, applied in electric vehicle charging technology, electric vehicles, charging stations, etc., can solve the problems of centralized scheme calculation difficulties, inability to fully realize the ideal curve tracking effect, and loose mathematical principles

Active Publication Date: 2013-03-13
TSINGHUA UNIV
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But due to the large number of cars, the centralized scheme will encounter computational difficulties
Secondly, some researchers, such as M.D.Galus, S.Koch and G.Andersson published some heuristic schemes in the paper "Provision of Load Frequency Control by PHEVs, Controllable Loads, and a Cogeneration Unit" published in IEEE Trans.Industrial Electronics , but these schemes cannot fully achieve the best tracking effect on the ideal curve due to the loose mathematical principles

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
  • Distributed optimization method of charging power of electric automobiles in aggregator
  • Distributed optimization method of charging power of electric automobiles in aggregator
  • Distributed optimization method of charging power of electric automobiles in aggregator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0069] Assume that there are 5 electric vehicles in the cluster in this embodiment, and each electric vehicle is fully charged within 8 hours. The maximum capacity of the battery is 40kWh, which is used as the upper limit of energy, and the lower limit of energy is taken as 0kWh. At the beginning of charging, the initial value of the battery energy is 20kWh, and the battery is fully charged at the end of charging. Suppose the maximum charging power of the car charging interface is 5kW, the minimum power is 0, and the charging power can be adjusted continuously. For the convenience of explanation, the time step Δt is set to 1 hour, so the number T of the car access charging time period is 8, and the "ideal curve" and charging cost curve of each period are: D=[12.5,12.5,22.5,12.5 ,2.5,12.5,12.5,12.5], c i =[0.5,0.5,0.5,0.5,0.3,0.3,0.3,0.3]. ω 1 and ω 2 Set to 100 and 1 respectively.

[0070] The distributed optimization method for charging power of electric vehicles in the...

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 relates to a distributed optimization method of charging behaviors of a plurality of electric automobiles in an aggregator and belongs to the technical field of electric power system operation and control. According to the method, a controller of a parking lot or a cell side is used as a coordinator for optimal computation and used for providing coordinating information for sub-controllers on the automobiles, and the sub-controllers optimize charging power curves of the sub-controllers according to the coordinating information and feed the information back to the coordinator. Iterative computations are performed according to the following steps that firstly, the sub-controllers of the automobiles initialize an initial curve which meets charging requirements of the sub-controllers, and the step is used as a starting step of iteration; and after each iteration, the coordinator can obtain improved charging power of the electric automobiles, and the charging power of the electric automobiles is obtained after iteration convergence and sent to the sub-controllers. By means of a charging scheme of the method, best approximation of ideal curves can be achieved. The method is applicable to physical distribution characteristics of the automobiles and simultaneously has high calculation efficiencies.

Description

technical field [0001] The invention belongs to the technical field of power system operation and control, in particular to a method for distributed optimization of charging power of multiple electric vehicles in a cluster. Background technique [0002] Studies have shown that electric vehicles are parked most of the day. In Vehicle-to-Grid technology, a large number of electric vehicles parked in parking lots or residential areas are regarded as an aggregator, which will be managed uniformly to provide services to the grid. For example, a general control device is installed in the parking lot to control the charging power of each electric vehicle during the parking period, so that it can charge in a way that is beneficial to the grid as much as possible while meeting its own charging needs, such as peak shaving and valley filling (in Residential load peaks reduce charging power, and increase charging power during low load periods); at the same time, the charging control de...

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): G05B19/418
CPCB60L11/1838B60L11/1844Y02T10/7005B60L11/184Y04S10/126Y04S30/14Y02T10/7072B60L53/64B60L53/63Y02E60/00Y02T90/12Y02T90/167Y02T10/70Y02T90/14Y02T90/16
Inventor 孙宏斌郭庆来张伯明吴文传李正烁辛蜀骏
Owner TSINGHUA 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