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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