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Electric vehicle charging optimization guiding strategy considering reward mechanism

A technology of electric vehicles and mechanisms, applied in the field of power systems, can solve problems such as unconvincing optimization results

Active Publication Date: 2021-01-08
SHANXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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

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  • Electric vehicle charging optimization guiding strategy considering reward mechanism
  • Electric vehicle charging optimization guiding strategy considering reward mechanism
  • Electric vehicle charging optimization guiding strategy considering reward mechanism

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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...

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Abstract

The invention belongs to the field of power systems, and particularly relates to an electric vehicle charging optimization guiding strategy considering a reward mechanism. In the prior art, little consideration is considered in the aspect of arousing user enthusiasm, meanwhile, configuration information such as electric vehicle configuration information and travel characteristic information, battery capacity of an electric vehicle and the like and the state of charge at the beginning of charging can influence the charging duration of the electric vehicle; therefore, rewards and charging expenses of the electric vehicle in the aspect of reducing load fluctuation are mainly considered, user travel requirements are considered, and therefore the optimal charging time period of the electric vehicle is determined; the reward mechanism of the charging station for reducing the peak-valley difference and the load fluctuation of the power grid is introduced, and finally, the proposed optimal scheduling model is solved by using a real-time optimization algorithm of the dynamic response of the electric vehicle.

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

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Application Information

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Patent Type & Authority Applications(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
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