The invention discloses a new energy real-time electricity price pricing method, which comprises the following steps of: on a supply side, mining related factors which influence the new energy real-time electricity price by using a standardization-Euclidean distance, including a system electricity price, a new energy predicted internet surfing quantity and a load demand predicted quantity, and proposing a fitting function relationship between each related factor and a new energy real-time power supply price; on the demand side, the function relation between the electricity selling price and the load size is expressed through a price demand response elastic matrix; the function relation on the two sides is included in a cost-benefit target, and a min-max model is established and serves as a real-time power supply and sale pricing model of source-load real-time supply and demand; under the condition of considering different scenes, a min-max multi-scene objective function is established, and the model is converted and solved by using a Lagrange optimization duality theory. The method has the advantages of being simple in principle, easy to implement, capable of stabilizing load fluctuation, capable of improving new energy consumption and the like.