Charging and discharging control method for electric vehicles in residential quarters

A charge-discharge control, electric vehicle technology, applied in adaptive control, general control system, control/regulation system, etc., can solve the problem that the particle position is difficult to meet the equation constraints, and the convergence accuracy is affected.

Active Publication Date: 2017-10-13
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

To solve the optimization problem with equality constraints, it is necessary to use the penalty function to change the equality constraints into unconstrained, or to change the equality constraints into two inequality constraints, and then construct a new particle swarm optimization solution. These methods have difficulty in particle position. Problems that satisfy equality constraints and affect convergence accuracy

Method used

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  • Charging and discharging control method for electric vehicles in residential quarters
  • Charging and discharging control method for electric vehicles in residential quarters
  • Charging and discharging control method for electric vehicles in residential quarters

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Embodiment

[0065] A specific embodiment of the present invention is a method for controlling charging and discharging of an electric vehicle in a residential area, the steps of which are:

[0066] A. Record the power battery capacity E of the electric vehicle i i , the maximum charging power P max,i , Power battery available capacity ratio k i ; and set the initial travel time, last return time, and daily mileage of electric vehicle i on the day as the initial travel time t of electric vehicle i on the next day i,s , and finally return to time t i,e , Daily power consumption S i ; Wherein i represents the serial number of the electric vehicle, i=1,2,3...I; I is the total number of electric vehicles in the residential area;

[0067] B. Based on the historical basic power load data of the community, predict the basic load L within the jth hour (j=1, 2, 3...24) of the next day j , and then get the daily load rate F of the next day’s base load 2min , The peak-to-valley difference F of ...

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Abstract

The invention discloses a charging and discharging control method for electric vehicles in a residential area. It adopts a double-layer discrete particle swarm algorithm, solves the charging and discharging plan of each electric vehicle satisfying all constraint conditions through the bottom layer particle swarm algorithm, and then optimizes it by using the top layer particle swarm algorithm. A method for controlling the charging and discharging power of all electric vehicles outside the residential area. This method can not only effectively improve the load characteristic index of the residential area, improve the utilization rate of the grid equipment in the residential area, but also significantly reduce the charging cost of the electric vehicle, and is easy to implement and popularize.

Description

technical field [0001] The invention relates to the field of optimal control of electric vehicles, in particular to the field of energy interaction between electric vehicles and intelligent communities. Background technique [0002] Electric vehicles have the advantages of energy saving and emission reduction, and are emerging industries that countries are competing to develop. Breakthroughs in key technologies of electric vehicles have promoted the large-scale application of electric vehicles. The disorderly charging of large-scale electric vehicles will cause severe fluctuations in grid load, increase the expansion cost of electrical equipment, and reduce the utilization rate of electrical equipment; the energy storage potential of electric vehicles is not fully utilized, which is not conducive to the construction of active distribution networks. Formulate the charging and discharging control method of electric vehicles in residential areas, on the premise of meeting the m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02
Inventor 杨健维黄宇王湘何正友
Owner SOUTHWEST JIAOTONG UNIV
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