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Multi-agent based ordered charging method of electric automobile

A technology for electric vehicles and charging methods, applied in electric vehicle charging technology, electric vehicles, charging stations, etc., can solve problems such as centralized optimization strategies such as huge computational load

Active Publication Date: 2017-09-12
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the current research on distributed optimization strategies, the distributed strategy for iterative optimization of all electric vehicle charging curves in each period of time also has the disadvantages of centralized optimization strategies such as huge amount of calculation.

Method used

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  • Multi-agent based ordered charging method of electric automobile
  • Multi-agent based ordered charging method of electric automobile
  • Multi-agent based ordered charging method of electric automobile

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Embodiment Construction

[0054] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0055] The orderly charging method for electric vehicles based on multi-agents provided by the present invention utilizes the distributed collaborative work of household agents, substation agents and grid agents to distribute the charging problem of a large number of electric vehicles connected to the grid at the same time according to the region The dispatching part of the substation agent obtains the charging curve of the electric vehicle connected to the network by solving the real-time charging mathematical model, and sends the dispatching result to the household agent to dispatch the charging behavior of the electric vehicle. The invention effectively improves the effect of real-time charging optimization of the electric vehicle, better cuts peaks and fills valleys while meeting user needs and reduces charging costs of users, and ensures the stability of ...

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Abstract

The invention provides a multi-agent based ordered charging method of an electric automobile. The method is characterized in that a home agent and a transformer substation agent coordinately work to service a power grid agent to handle with a large amount of complex charging requests in a distribution manner; and the charging behavior of the electric automobile is scheduled through a real-time greedy algorithm. According to the method, the current real-time energy demand information and the charging time arrangement of the electric automobile, rather than the information of the electric automobile to be connected to a power grid in future and a complex prediction method and the optimizing technology, are needed, so that the expansion is high; and the method is applied to the high permeability condition of the electric automobile. The charging process of the electric automobile is a constant-power continuous charging process through which a battery of the electric automobile is prevented from being frequently switched among the charging modes, and the influence of the charging schedule on the service life of the battery of the electric automobile can be reduced to the maximum. With the adoption of the method, the real-time charging optimizing effect of the electric automobile is effectively improved; the peak shaving and load shifting can be performed well while the user demand is met and the user charging cost is decreased, and the power grid stability is ensured.

Description

technical field [0001] The invention belongs to the technical field of power system operation and control, and in particular relates to a multi-agent-based orderly charging method for electric vehicles. Background technique [0002] With the increasingly serious problems of environmental pollution and fossil resource depletion, environmentally friendly electric vehicles are becoming the favored objects of countries all over the world to reduce dependence on fossil fuels and reduce greenhouse gas emissions. However, when the number of electric vehicles reaches a certain scale, if their charging behavior is not controlled, it will have a negative impact on the stable operation of the power grid, such as increasing peak load demand, increasing power loss, and reducing power quality. Therefore, it is necessary to schedule the charging behavior of electric vehicles to ensure the safe and stable operation of the power grid. On the other hand, it can also reduce the charging costs ...

Claims

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Application Information

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IPC IPC(8): B60L11/18
CPCB60L53/00Y02T10/70Y02T90/12Y02T10/7072Y02T90/14
Inventor 杨清宇卢兴东安豆
Owner XI AN JIAOTONG UNIV
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