Electric vehicle pre-charging path planning with multi-agent participation in the internet of vehicles
With the development and popularization of electric vehicles,the coupling between energy network,traffic network and information network have been deepened,and the traditional path planning model based on a single traffic system on the road side can no longer adapt to the demand of electric vehicle charging navigation decision in the road-electric coupling scenario.In this paper,a multi-participant EV pre-charging path planning model based on the interaction of vehicle-road-station-grid system information is established to address this problem,taking into account the energy-side load demand response and traffic-side traffic distribution constraints.Then,based on the comprehensive evaluation of user-side travel cost,distribution network load fluctuation and aggregator's operation benefit,the optimal charging pile and its reservation time in the planning area are solved by using the heuristic A*algorithm.Finally,the effectiveness of the model in short time scale scheduling is verified by combining the road network in a certain area of Changsha city with a random and flexible electric private car as the modeling object.The results show that the proposed model can effectively reduce the user-side costs,promote the safe and stable operation of the grid.Meanwhile,it also can balance the regional differences in the use of charging piles to a certain extent.In a word,this model can realize the comprehensive optimal path planning that integrates the objectives of multiple subjects.
electric vehiclesvehicle to gridtransportation-energy couplingpath planningmulti-subject decision making
国家科技期刊平台
NSTL
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