A Multi-Agent Based Electric Vehicle Orderly Charging Method

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 ...

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.

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