Electric vehicle charging guidance method considering road-network-vehicle

Abstract

The invention provides an electric vehicle charging guidance method considering road-network-vehicle, which considers the charging demand difference of different types of electric vehicles, performs optimized guidance scheduling on the electric vehicles in slow charging and fast charging modes from two aspects of day-ahead and real-time. The method comprises the following steps: establishing an electrical traffic cooperative control architecture; formulating a charging station selection and navigation strategy; formulating a time-sharing and zoning electricity price to guide quick charging; and establishing a double-layer optimization scheduling model to guide slow charging. According to the method, on the premise that the safety and economy of a power distribution system are guaranteed, the satisfaction degree of power consumers is considered, and different charging requirements, time and space and other factors are considered to research the guide strategy and operation mode of the electric vehicle. Analysis of the charging station and system load conditions before and after optimization shows that the method enables the system load to be gentler than that in a free charging mode, plays a role in peak clipping and valley filling to a certain extent, and improves the operation safety and economy of a power system.

Description

Technical field [0001] The invention relates to the field of electric power systems, in particular to an electric vehicle charging guidance method that takes into account roads, networks, and vehicles. Background technique [0002] As an effective way to solve energy security, environmental pollution and global warming, electric vehicles have broad market prospects. However, a large number of unguided free charging of electric vehicles will have a serious negative impact on the safety and economic operation of urban transportation systems and power distribution systems. Therefore, in order to avoid this phenomenon, it is necessary to formulate a comprehensive guidance strategy and operation mode for the friendly interaction of the vehicle network. Coordinated control of the charging process of electric vehicles can reduce the negative impact of electric vehicles. Traditional electric vehicle charging guidance methods have limitations. For example, when establishing the price re...

AI Technical Summary

Problems solved by technology

The traditional electric vehicle charging guidance method has limitations, such as: when establishing the electric vehicle user price response model, the traffic system and the electrical system are not considered in coordination, and the accuracy is low; usually for electric vehicles with fast charging mode and slow charging mode The same guidance strategy and operation mode, without considering the difference in charging demand between the two; traditional methods focus on the interests of charging stations, often ignoring the satisfaction of electric vehicle users

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