The invention relates to the field of
new energy vehicle
charging station operation strategies, and discloses a V2G
electric vehicle charging station charging and discharging decision optimization method and device. Constructing a
new energy vehicle
charging station interaction environment based on a V2G technology; a
state variable, an action variable and a reward function of
reinforcement learning are set, and the reward function is provided with a plurality of optimization objectives, so that benefits of charging
pile operators,
power grid operators, users and the like can be balanced, and
global optimization is realized. An SD3
algorithm is adopted to construct an
electric vehicle charging
station charging and discharging decision-making model based on
reinforcement learning, an optimal
electric vehicle charging
station charging and discharging decision-making model is obtained through training, and an optimal charging and discharging scheduling scheme is obtained through calculation according to real-
time data and the optimal electric vehicle charging
station charging and discharging decision-making model. According to the method, better performance can be obtained under the condition of fewer training samples, and the reliability of
intelligent decision making and the stability in the training process can be ensured in a dynamic environment. Decision strategies in a complex environment can be automatically learned, and the burden of manual rule design is relieved.