LARGE-SCALE ELECTRIC VEHICLE CLUSTER SCHEDULING STRATEGY CONSIDERING USERS&#x02019;STOCHASTIC TRAVEL BEHAVIOR

Luo Xu; Cheng Jing

doi:10.19912/j.0254-0096.tynxb.2024-1130

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 419-430. DOI: 10.19912/j.0254-0096.tynxb.2024-1130

LARGE-SCALE ELECTRIC VEHICLE CLUSTER SCHEDULING STRATEGY CONSIDERING USERS’STOCHASTIC TRAVEL BEHAVIOR

Luo Xu¹, Cheng Jing^1,2

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Abstract

Aiming at the problems of difficult regulation of large-scale electric vehicles and low real-time consumption rate of renewable energy, a scheduling strategy for electric vehicle cluster-grid interaction considering users’stochastic travel behavior is proposed. First, the user travel scenario is constructed based on the road network topology the NHTS2017 database, and the user random travel behavior is simulated by Monte Carlo method. Second,the concept of electric vehicle cluster operator is introduced, the user vehicle characteristics and spatio-temporal characteristics are extracted by real-time computation, and the dispatchable physical model of electric vehicle cluster is created based on the Minkowski-sumcon cept. Finally, with the goal of minimizing operation costs, the integrated dispatch model of a distributed grid considering users’stochastic travel behavior is established to solve the optimal allocation scheme of each subject’s output. Taking a distributed grid in Jiangsu as an example, the results show that the proposed scheduling strategy reduces users’charging cost, improves users’random travel satisfaction and new energy consumption level, reduces the operating cost of thermal power units and realizes the friendly interaction between users and the grid.

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electric vehicle / stochastic travel behavior models / integrated dispatch / Minkowski-sumcon / dispatchable physical model

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Luo Xu, Cheng Jing. LARGE-SCALE ELECTRIC VEHICLE CLUSTER SCHEDULING STRATEGY CONSIDERING USERS’STOCHASTIC TRAVEL BEHAVIOR[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 419-430 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1130

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