Electric vehicle service network coordination control system and method based on multi-agent system

Abstract

The invention discloses a coordination control system and a method for an electric vehicle service network based on a Multi-Agent system. The coordination control system comprises four layers including a provincial Agent layer, a prefectural Agent layer, a regional Agent layer and a terminal Agent layer, wherein the provincial Agent layer is connected with the prefectural Agent layer; the prefectural Agent layer is connected with the regional Agent layer; and the regional Agent layer is connected with the terminal Agent layer. The system can monitor the key operation parameters of an electric vehicle, a power cell, a charging pile, a charging and discharging power station and the like in real time, so that the unified management specification is established. According to the invention, the coordination control for the electric vehicle service network is achieved within an extensive range, so that effective interaction of the vehicle, the station and the network is achieved, safe and economical operation of a power grid is ensured, and the utilization rate of regenerative energy resources is improved.

Description

technical field [0001] The invention relates to the field of electric vehicle energy management, in particular to an electric vehicle service network coordination control system and method based on a Multi-Agent system. Background technique [0002] Electric vehicles "replace oil with electricity", which can achieve low energy consumption, zero emissions and no pollution. It is an important part of smart grid and low-carbon transportation, which has attracted widespread attention from the whole society. The electric vehicle service network is the premise and foundation for the large-scale promotion and application of electric vehicles. Up to now, the electric vehicle service network has been in the stage of construction and trial operation. However, due to the immature conditions of the electric vehicle market and the unification of battery and charging standards, the electric vehicle service network is not perfect and there is a lack of a unified operation monitoring and co...

AI Technical Summary

Problems solved by technology

[0008] Xin Jianbo and others from Jiangxi Electric Power Research Institute proposed a multi-agent system-based orderly charging method for electric vehicles (patent application number: 201110277269.0), but this method is only applicable to the charging control of household passenger electric vehicles, without considering the discharge It also does not consider the coordinated control of electric vehicle service facilities such as charging stations and swap stations, nor does it involve the coordinated utilization of new energy

Images