Ordered charging method for electric vehicle based on multi-agent system

Abstract

The invention relates to an ordered charging method for an electric vehicle based on a multi-agent system. The method is realized through a cooperation of a transmission transformer load monitoring agent, a distribution transformer load monitoring agent, an electric vehicle charging agent, an intelligent appliance control agent, an intelligent interactive control agent and a comprehensive decision agent. The distribution transformer load monitoring agent receives uploaded data from the intelligent interactive control agent and the electric vehicle charging agent and load data of the transmission transformer, performs a logical judgment by using an ordered electric vehicle charging and control strategy based on the zone area load group according to the collected data, and returns a control and execution instruction to the intelligent interactive control agent and the electric vehicle charging agent after acquiring the control and execution instruction. With adopting the method provided by the present invention, functions of ordered electric vehicle charging, power fluctuation restraining and economic dispatch are realized, the problems of insufficient real-time processing capability, dimensionality curse, and the like in the existing optimization method are solved. In addition, the method provided by the present invention is applicable for charging control of the family passenger electric vehicle.

Description

[0001] technical field [0002] The invention relates to an orderly charging method for an electric vehicle with a multi-agent system, belonging to the technical field of electric vehicle charging. Background technique [0003] The access of a large number of electric vehicles has brought new challenges to the safe and economical operation of the power system, especially the disorderly charging behavior of a large number of electric vehicles will have a significant negative impact on the system, and may even affect the safety and reliability of the power system run. After the electric vehicle is widely used, it will become a new type of large-capacity load in the power system. For each household user, charging with a current of 16-32A for 6-8 hours per day will be a very large load. Although for a single household, the peak load of all electrical appliances may exceed 10 kW if the loads of all electrical appliances are simply superimposed; but in most cases, all electri...

AI Technical Summary

Problems solved by technology

However, if a large number of electric vehicles are connected when other electrical appliances are in normal use, since the charging duration of electric vehicles is long, and there may be situations where electric vehicles in most households are in the charging state at the same time

In this way, if the charging load is not properly controlled, it may cause a significant increase in the load during some periods, which will have more adverse effects during the night peak load period, such as the need to increase the capacity of the power network and increase the generation capacity to meet the peak load demand , resulting in increased system investment and operating costs

Considering that the orderly charging of electric vehicles needs to process massive amounts of data and interact with multiple applications, existing optimization methods have problems such as insufficient real-time processing capabilities and dimensionality disasters.

Images