Electric vehicle photovoltaic charging station optimization scheduling method considering user behavior

The invention discloses an electric vehicle photovoltaic charging station optimization scheduling method considering a user behavior, that is, an electric vehicle supplies power to a power grid only when an electricity price is higher than the discharge loss of a vehicle-borne storage battery. Therefore, according to measured data, a B-spline curve is used to establish mathematical models of the influence of a discharge depth and an ambient temperature on the cycle life of a storage battery through the two steps of preliminary fitting and partial correction, the influences of a discharge depthfactor and a temperature factor on the cycle life of the storage battery are comprehensively considered, and the discharge loss corresponding to each discharge behavior of the vehicle-borne battery is obtained. On the basis, with the output of an energy storage system and the interaction power with a large power grid as the optimization variables, with minimum operating cost of the system as an optimization goal, the day