Electric vehicle scheduling method considering various demands of users in mixed scene

Abstract

The invention provides an electric vehicle scheduling method considering various demands of a user in a mixed scene, and the method comprises the following steps: firstly, constructing a power scheduling system considering various demands of the user in the mixed scene, obtaining a road network structure based on a graph theory method, and constructing an electric vehicle model and a scheduling equipment model based on the road network structure; secondly, constructing an evaluation target based on model parameters of the electric vehicle model and the dispatching equipment model, and constructing an assignment model based on the evaluation target; solving the assignment model by using a Hungary algorithm to obtain scheduling equipment corresponding to the electric vehicle; constructing a vehicle network interaction model according to the scheduling equipment corresponding to the electric vehicle and the model parameters of the electric vehicle model; and finally, carrying out iterative optimization on the vehicle network interaction model by utilizing a genetic particle swarm algorithm, and outputting the number of conversion times of scheduling participated by the electric vehicle and the instantaneous power of the electric vehicle. According to the invention, various scheduling devices in the electricity market can be effectively utilized, and various scheduling requirements of electric vehicle users can be met.

Description

technical field [0001] The invention relates to the technical field of electric power system control, in particular to an electric vehicle dispatching method that considers various needs of users in a mixed scene. Background technique [0002] With the increasing of global warming, environmental pollution and energy shortage and other problems, especially the means of transportation using internal combustion engines have caused a great deal of air pollution, and electric vehicles that use new energy as fuel and emit less pollution have been favored by countries all over the world Pay attention, especially the "New Energy Vehicle Industry Development Plan" passed by the executive meeting of the State Council in October 2020 clearly needs to increase key technology research, support the deep integration of new energy vehicles with energy, transportation, information and communication, and promote electrification and networking , Intelligent integration and development. [000...

AI Technical Summary

Problems solved by technology

[0006] In the current research, the equipment for charging electric vehicles is usually single, such as the selection of the charging path of electric vehicles in the battery swap mode, the optimization of the charging and discharging power of electric vehicles in the scene of using charging piles, and the processing of service efficiency in the mobile charging mode, etc. , but there are few scheduling methods that can satisfy the psychological needs of electric vehicle users and the preferences of different devices to the greatest extent.

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