Abstract
In order to satisfy the needs of the clean energy usage and the rapid development of the smart micro grid and electric vehicle industry under the energy internet environment, an effective and highly applicable control algorithm which could ensure the safe and stable operation of smart micro grid with the large access of the electric vehicles is desperately needed. This paper firstly built the agent-based model of the electric vehicle by analyzing the autonomous operation of the electric vehicles, and then proposes a multilevel charging control algorithm oriented to the regional smart micro grid and the EVs' different kinds of power supplement, which includes the micro grid-level centralized control for the batteries' centralized charging and the user-level active control for the EVs' dispersed charging. The optimization goal is to minimize the fluctuation of the load in the regional smart micro grid under the premise that it does not affect the normal operation of electric vehicles. Finally, the corresponding case scene simulation is carried out in order to verify the effect of the proposed algorithm.
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