Abstract
The research on the collaborative scheduling of various energy Internet networks in the future is a complex system engineering. With the rapid development of the energy Internet, the joint application of distributed generation and electric vehicles will penetrate into the existing power grid in the future, and the existing power grid structure will be greatly affected. Based on the research of dynamic spatiotemporal characteristics of different types of electric vehicles, this paper proposes a fast charge station probabilistic load modeling technology route; and proposes an optimal charging control strategy that takes into account the complex interaction between power network and traffic network; Based on the modeling of main renewable energy (wind energy, solar energy), the collaborative scheduling model of electric vehicle, power system and new power generation is studied, which promotes the mutual penetration and deep integration of energy Internet and intelligent management decision-making.
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